{
  "api_version": "1",
  "updated": "2026-11-05",
  "latest_event": "2026-11-04",
  "rights": "© Frontier Log, all rights reserved.",
  "provider": {
    "slug": "zai",
    "name": "Z.ai",
    "type": "lab",
    "coverage": "models",
    "url": "https://frontierlog.ai/provider/zai",
    "summary": {
      "text": "With the mission of 'Teach machines to think like humans, benefit humanity with reliable AI', Zhipu is committed to pioneering the next generation of cognitive intelligence models, with a strong focus on innovation in China.",
      "source": "https://www.zhipuai.cn/en/about"
    },
    "based_in": {
      "text": "Beijing, China",
      "source": "https://www1.hkexnews.hk/listedco/listconews/sehk/2026/0419/2026041900085.pdf"
    },
    "founded": {
      "text": "2019",
      "source": "https://www.zhipuai.cn/en/about"
    },
    "website": "https://z.ai/",
    "channels": [
      {
        "kind": "News",
        "url": "https://www.zhipuai.cn/en/news"
      },
      {
        "kind": "Docs",
        "url": "https://docs.z.ai/"
      },
      {
        "kind": "Pricing",
        "url": "https://docs.z.ai/guides/overview/pricing"
      },
      {
        "kind": "Hugging Face",
        "url": "https://huggingface.co/zai-org"
      },
      {
        "kind": "GitHub",
        "url": "https://github.com/zai-org"
      },
      {
        "kind": "X",
        "url": "https://x.com/Zai_org"
      }
    ],
    "events": 9,
    "events_api": "https://frontierlog.ai/api/v1/events?provider=zai&importance=all",
    "latest_events": [
      {
        "slug": "2026-08-26-glm-5-3-flash",
        "date": "2026-08-26",
        "provider": "zai",
        "importance": "minor",
        "title": "GLM-5.3-Flash",
        "headline": "Z.ai releases GLM-5.3-Flash",
        "detail": "Natively multimodal open model with 320B total and 18B active parameters, at a tenth of GLM-5.2's price.",
        "tags": [
          "model-releases",
          "open-weights"
        ],
        "related": [],
        "source": "https://z.ai/blog/glm-5.3-flash",
        "models": [
          "glm-5-3-flash",
          "glm-5-3-flash-abliterated-anthropic"
        ],
        "source_title": "GLM-5.3-Flash: Frontier Intelligence, Flash Cost",
        "source_archived": null,
        "source_http_status": null,
        "source_quote": "With 320B total parameters and just 18B active parameters, it outperforms GLM-5.2 across benchmarks and real-world workloads at one-tenth the price, while approaching Claude Opus 4.8 on coding and agentic benchmarks.",
        "followups": [],
        "successor": null,
        "predecessors": [],
        "revealed_as": null,
        "stealth_previews": [
          "2026-08-20-ox-alpha"
        ],
        "reveal_source": null,
        "url": "https://frontierlog.ai/event/2026-08-26-glm-5-3-flash",
        "image": "https://frontierlog.ai/og/2026-08-26-glm-5-3-flash.png"
      },
      {
        "slug": "2026-08-14-glm-5-3",
        "date": "2026-08-14",
        "provider": "zai",
        "importance": "major",
        "title": "GLM-5.3",
        "headline": "Z.ai releases GLM-5.3",
        "detail": "Coding model post-trained from the GLM-5.2 base, state of the art on CyberGym; weights to follow in two weeks.",
        "tags": [
          "model-releases",
          "open-weights"
        ],
        "related": [],
        "source": "https://z.ai/blog/glm-5.3",
        "models": [
          "glm-5-3",
          "glm-5-3-abliterated-anthropic"
        ],
        "source_title": "GLM-5.3: Frontier Coding with Emergent Cyber Capabilities",
        "source_archived": null,
        "source_http_status": null,
        "source_quote": "GLM-5.3 is state of the art on CyberGym for vulnerability discovery, and its gains are largest further up the exploitation chain, where it more than doubles GLM-5.2 on exploitation benchmarks.",
        "followups": [
          {
            "text": "Weights released on Hugging Face",
            "status": "kept",
            "promise": "We will release the weights in two weeks after launch, once safety evaluation and hardening are complete.",
            "date": "2026-08-25",
            "source": "https://huggingface.co/zai-org/GLM-5.3"
          }
        ],
        "successor": null,
        "predecessors": [],
        "revealed_as": null,
        "stealth_previews": [],
        "reveal_source": null,
        "url": "https://frontierlog.ai/event/2026-08-14-glm-5-3",
        "image": "https://frontierlog.ai/og/2026-08-14-glm-5-3.png"
      },
      {
        "slug": "2026-06-16-glm-5-2",
        "date": "2026-06-16",
        "provider": "zai",
        "importance": "major",
        "title": "GLM-5.2",
        "headline": "Z.ai releases GLM-5.2",
        "detail": "Open model under MIT for long-horizon tasks, with a 1M-token context window and stronger coding.",
        "tags": [
          "model-releases",
          "open-weights"
        ],
        "related": [],
        "source": "https://z.ai/blog/glm-5.2",
        "models": [
          "glm-5-2"
        ],
        "source_title": "GLM-5.2: Built for Long-Horizon Tasks",
        "source_archived": null,
        "source_http_status": null,
        "source_quote": "It marks a substantial leap in long-horizon task capability over its predecessor GLM-5.1 and, for the first time, delivers that capability on a solid 1M-token context.",
        "followups": [],
        "successor": null,
        "predecessors": [],
        "revealed_as": null,
        "stealth_previews": [],
        "reveal_source": null,
        "url": "https://frontierlog.ai/event/2026-06-16-glm-5-2",
        "image": "https://frontierlog.ai/og/2026-06-16-glm-5-2.png"
      },
      {
        "slug": "2026-04-07-glm-5-1",
        "date": "2026-04-07",
        "provider": "zai",
        "importance": "major",
        "title": "GLM-5.1",
        "headline": "Z.ai releases GLM-5.1",
        "detail": "Open model under MIT for agentic engineering, built to stay effective on long-horizon coding tasks.",
        "tags": [
          "model-releases",
          "open-weights"
        ],
        "related": [],
        "source": "https://z.ai/blog/glm-5.1",
        "models": [
          "glm-5-1"
        ],
        "source_title": "GLM-5.1: Towards Long-Horizon Tasks",
        "source_archived": null,
        "source_http_status": null,
        "source_quote": null,
        "followups": [],
        "successor": null,
        "predecessors": [],
        "revealed_as": null,
        "stealth_previews": [],
        "reveal_source": null,
        "url": "https://frontierlog.ai/event/2026-04-07-glm-5-1",
        "image": "https://frontierlog.ai/og/2026-04-07-glm-5-1.png"
      },
      {
        "slug": "2026-02-12-glm-5",
        "date": "2026-02-12",
        "provider": "zai",
        "importance": "major",
        "title": "GLM-5",
        "headline": "Z.ai releases GLM-5",
        "detail": "Open model under MIT with 744B total and 40B active parameters, using DeepSeek Sparse Attention.",
        "tags": [
          "model-releases",
          "open-weights"
        ],
        "related": [],
        "source": "https://z.ai/blog/glm-5",
        "models": [
          "glm-5"
        ],
        "source_title": "GLM-5: From Vibe Coding to Agentic Engineering",
        "source_archived": null,
        "source_http_status": null,
        "source_quote": "Compared to GLM-4.5, GLM-5 scales from 355B parameters (32B active) to 744B parameters (40B active), and increases pre-training data from 23T to 28.5T tokens.",
        "followups": [],
        "successor": null,
        "predecessors": [],
        "revealed_as": null,
        "stealth_previews": [
          "2026-02-06-pony-alpha"
        ],
        "reveal_source": null,
        "url": "https://frontierlog.ai/event/2026-02-12-glm-5",
        "image": "https://frontierlog.ai/og/2026-02-12-glm-5.png"
      },
      {
        "slug": "2025-12-22-glm-4-7",
        "date": "2025-12-22",
        "provider": "zai",
        "importance": "major",
        "title": "GLM-4.7",
        "headline": "Z.ai releases GLM-4.7",
        "detail": "Open model focused on agentic coding, scoring 73.8% on SWE-bench and 41% on Terminal Bench 2.0.",
        "tags": [
          "model-releases",
          "open-weights"
        ],
        "related": [],
        "source": "https://z.ai/blog/glm-4.7",
        "models": [
          "glm-4-7"
        ],
        "source_title": "GLM-4.7: Advancing the Coding Capability",
        "source_archived": null,
        "source_http_status": null,
        "source_quote": "GLM-4.7 brings clear gains, compared to its predecessor GLM-4.6, in multilingual agentic coding and terminal-based tasks, including (73.8%, +5.8%) on SWE-bench, (66.7%, +12.9%) on SWE-bench Multilingual, and (41%, +16.5%) on Terminal Bench 2.0.",
        "followups": [],
        "successor": null,
        "predecessors": [],
        "revealed_as": null,
        "stealth_previews": [],
        "reveal_source": null,
        "url": "https://frontierlog.ai/event/2025-12-22-glm-4-7",
        "image": "https://frontierlog.ai/og/2025-12-22-glm-4-7.png"
      },
      {
        "slug": "2025-12-08-glm-4-6v",
        "date": "2025-12-08",
        "provider": "zai",
        "importance": "minor",
        "title": "GLM-4.6V",
        "headline": "Z.ai releases GLM-4.6V",
        "detail": "Open multimodal models, 106B GLM-4.6V and 9B GLM-4.6V-Flash, with native function calling and 128K context.",
        "tags": [
          "model-releases",
          "open-weights",
          "vision"
        ],
        "related": [],
        "source": "https://z.ai/blog/glm-4.6v",
        "models": [
          "glm-4-6v",
          "glm-4-6v-flash"
        ],
        "source_title": "GLM-4.6V: Open Source Multimodal Models with Native Tool Use",
        "source_archived": null,
        "source_http_status": null,
        "source_quote": "The release includes two versions: GLM-4.6V (106B), a foundation model designed for cloud and high-performance cluster scenarios, and GLM-4.6V-Flash (9B), a lightweight model optimized for local deployment and low-latency applications.",
        "followups": [],
        "successor": null,
        "predecessors": [],
        "revealed_as": null,
        "stealth_previews": [],
        "reveal_source": null,
        "url": "https://frontierlog.ai/event/2025-12-08-glm-4-6v",
        "image": "https://frontierlog.ai/og/2025-12-08-glm-4-6v.png"
      },
      {
        "slug": "2025-09-30-glm-4-6",
        "date": "2025-09-30",
        "provider": "zai",
        "importance": "major",
        "title": "GLM-4.6",
        "headline": "Z.ai releases GLM-4.6",
        "detail": "Open model update with a 200K-token context window, up from 128K, and stronger coding and reasoning.",
        "tags": [
          "model-releases",
          "open-weights"
        ],
        "related": [],
        "source": "https://z.ai/blog/glm-4.6",
        "models": [
          "glm-4-6"
        ],
        "source_title": "GLM-4.6: Advanced Agentic, Reasoning and Coding Capabilities",
        "source_archived": null,
        "source_http_status": null,
        "source_quote": "The context window has been expanded from 128K to 200K tokens, enabling the model to handle more complex agentic tasks.",
        "followups": [],
        "successor": null,
        "predecessors": [],
        "revealed_as": null,
        "stealth_previews": [],
        "reveal_source": null,
        "url": "https://frontierlog.ai/event/2025-09-30-glm-4-6",
        "image": "https://frontierlog.ai/og/2025-09-30-glm-4-6.png"
      }
    ],
    "flagship": null,
    "models": [
      {
        "slug": "glm-5-3-abliterated-anthropic",
        "name": "GLM-5.3 abliterated (Anthropic)",
        "lab": "anthropic",
        "date": "2026-09-29",
        "source": "https://www.anthropic.com/research/glm-5-3-and-the-spread-of-advanced-cyber-capabilities",
        "source_title": "GLM-5.3 and the spread of advanced cyber capabilities",
        "flagship": false,
        "event": "https://frontierlog.ai/event/2026-08-14-glm-5-3",
        "releases": [],
        "variant_of": {
          "slug": "glm-5-3",
          "name": "GLM-5.3",
          "lab": "zai"
        },
        "made_by": "Anthropic",
        "url": "https://frontierlog.ai/model/glm-5-3-abliterated-anthropic",
        "results": 2,
        "price": [],
        "context": null
      },
      {
        "slug": "glm-5-3-flash-abliterated-anthropic",
        "name": "GLM-5.3-Flash abliterated (Anthropic)",
        "lab": "anthropic",
        "date": "2026-09-29",
        "source": "https://www.anthropic.com/research/glm-5-3-and-the-spread-of-advanced-cyber-capabilities",
        "source_title": "GLM-5.3 and the spread of advanced cyber capabilities",
        "flagship": false,
        "event": "https://frontierlog.ai/event/2026-08-26-glm-5-3-flash",
        "releases": [],
        "variant_of": {
          "slug": "glm-5-3-flash",
          "name": "GLM-5.3-Flash",
          "lab": "zai"
        },
        "made_by": "Anthropic",
        "url": "https://frontierlog.ai/model/glm-5-3-flash-abliterated-anthropic",
        "results": 2,
        "price": [],
        "context": null
      },
      {
        "slug": "glm-5-3-flash",
        "name": "GLM-5.3-Flash",
        "lab": "zai",
        "date": "2026-08-26",
        "source": "https://z.ai/blog/glm-5.3-flash",
        "source_title": "GLM-5.3-Flash: Frontier Intelligence, Flash Cost",
        "flagship": false,
        "event": "https://frontierlog.ai/event/2026-08-26-glm-5-3-flash",
        "releases": [],
        "variant_of": null,
        "made_by": "Z.ai",
        "url": "https://frontierlog.ai/model/glm-5-3-flash",
        "results": 8,
        "price": [
          {
            "from": "2026-11-02",
            "listed": true,
            "currency": "USD",
            "input_per_1m": 0.15,
            "cached_input_per_1m": 0.03,
            "cached_input_derived": false,
            "output_per_1m": 0.5,
            "cache": {
              "kind": "price"
            },
            "tiers": [],
            "printed": {
              "input": "$0.15",
              "cached_input": "$0.03",
              "output": "$0.50"
            },
            "printed_unit": "1M tokens",
            "notes": "",
            "sources": [
              "https://docs.z.ai/guides/overview/pricing",
              "https://openrouter.ai/z-ai/glm-5.3-flash"
            ],
            "check": "human"
          },
          {
            "from": "2026-11-02",
            "listed": true,
            "currency": "CNY",
            "input_per_1m": 0.8,
            "cached_input_per_1m": 0.23,
            "cached_input_derived": false,
            "output_per_1m": 2.8,
            "cache": {
              "kind": "price"
            },
            "tiers": [],
            "printed": {
              "input": "¥0.8",
              "cached_input": "¥0.23",
              "output": "¥2.8"
            },
            "printed_unit": "1M tokens",
            "notes": "",
            "sources": [
              "https://docs.bigmodel.cn/cn/guide/start/pricing",
              "https://bigmodel.cn/pricing"
            ],
            "check": "corroborated"
          }
        ],
        "context": {
          "from": "2026-11-04",
          "listed": true,
          "window_tokens": 1000000,
          "input_tokens": null,
          "output_tokens": 128000,
          "tiers": [],
          "printed": {
            "window": "1M",
            "input": null,
            "output": "128K"
          },
          "notes": "",
          "sources": [
            "https://docs.z.ai/guides/vlm/glm-5.3-flash",
            "https://docs.z.ai/guides/overview/overview"
          ],
          "check": "corroborated"
        }
      },
      {
        "slug": "glm-5-3",
        "name": "GLM-5.3",
        "lab": "zai",
        "date": "2026-08-14",
        "source": "https://z.ai/blog/glm-5.3",
        "source_title": "GLM-5.3: Frontier Coding with Emergent Cyber Capabilities",
        "flagship": false,
        "event": "https://frontierlog.ai/event/2026-08-14-glm-5-3",
        "releases": [],
        "variant_of": null,
        "made_by": "Z.ai",
        "url": "https://frontierlog.ai/model/glm-5-3",
        "results": 7,
        "price": [
          {
            "from": "2026-11-02",
            "listed": true,
            "currency": "USD",
            "input_per_1m": 1.4,
            "cached_input_per_1m": 0.26,
            "cached_input_derived": false,
            "output_per_1m": 4.4,
            "cache": {
              "kind": "price"
            },
            "tiers": [],
            "printed": {
              "input": "$1.4",
              "cached_input": "$0.26",
              "output": "$4.4"
            },
            "printed_unit": "1M tokens",
            "notes": "",
            "sources": [
              "https://docs.z.ai/guides/overview/pricing",
              "https://openrouter.ai/z-ai/glm-5.3"
            ],
            "check": "human"
          },
          {
            "from": "2026-11-02",
            "listed": true,
            "currency": "CNY",
            "input_per_1m": 8.0,
            "cached_input_per_1m": 2.0,
            "cached_input_derived": false,
            "output_per_1m": 28.0,
            "cache": {
              "kind": "price"
            },
            "tiers": [],
            "printed": {
              "input": "¥8",
              "cached_input": "¥2",
              "output": "¥28"
            },
            "printed_unit": "1M tokens",
            "notes": "",
            "sources": [
              "https://docs.bigmodel.cn/cn/guide/start/pricing",
              "https://bigmodel.cn/pricing"
            ],
            "check": "corroborated"
          }
        ],
        "context": {
          "from": "2026-11-04",
          "listed": true,
          "window_tokens": 1000000,
          "input_tokens": null,
          "output_tokens": 128000,
          "tiers": [],
          "printed": {
            "window": "1M",
            "input": null,
            "output": "128K"
          },
          "notes": "",
          "sources": [
            "https://docs.z.ai/guides/llm/glm-5.3",
            "https://docs.z.ai/guides/overview/overview"
          ],
          "check": "corroborated"
        }
      },
      {
        "slug": "glm-5-2",
        "name": "GLM-5.2",
        "lab": "zai",
        "date": "2026-06-16",
        "source": "https://z.ai/blog/glm-5.2",
        "source_title": "GLM-5.2: Built for Long-Horizon Tasks",
        "flagship": false,
        "event": "https://frontierlog.ai/event/2026-06-16-glm-5-2",
        "releases": [],
        "variant_of": null,
        "made_by": "Z.ai",
        "url": "https://frontierlog.ai/model/glm-5-2",
        "results": 12,
        "price": [
          {
            "from": "2026-11-02",
            "listed": true,
            "currency": "USD",
            "input_per_1m": 1.4,
            "cached_input_per_1m": 0.26,
            "cached_input_derived": false,
            "output_per_1m": 4.4,
            "cache": {
              "kind": "price"
            },
            "tiers": [],
            "printed": {
              "input": "$1.4",
              "cached_input": "$0.26",
              "output": "$4.4"
            },
            "printed_unit": "1M tokens",
            "notes": "",
            "sources": [
              "https://docs.z.ai/guides/overview/pricing",
              "https://openrouter.ai/z-ai/glm-5.2"
            ],
            "check": "human"
          },
          {
            "from": "2026-11-02",
            "listed": true,
            "currency": "CNY",
            "input_per_1m": 8.0,
            "cached_input_per_1m": 2.0,
            "cached_input_derived": false,
            "output_per_1m": 28.0,
            "cache": {
              "kind": "price"
            },
            "tiers": [],
            "printed": {
              "input": "¥8",
              "cached_input": "¥2",
              "output": "¥28"
            },
            "printed_unit": "1M tokens",
            "notes": "",
            "sources": [
              "https://docs.bigmodel.cn/cn/guide/start/pricing",
              "https://bigmodel.cn/pricing"
            ],
            "check": "corroborated"
          }
        ],
        "context": {
          "from": "2026-06-16",
          "listed": false,
          "window_tokens": 1000000,
          "input_tokens": null,
          "output_tokens": 128000,
          "tiers": [],
          "printed": {
            "window": "1M",
            "input": null,
            "output": "128K"
          },
          "notes": "",
          "sources": [
            "https://z.ai/blog/glm-5.2",
            "https://docs.z.ai/guides/llm/glm-5.2",
            "https://docs.z.ai/guides/overview/overview"
          ],
          "check": "corroborated"
        }
      },
      {
        "slug": "glm-5-1",
        "name": "GLM-5.1",
        "lab": "zai",
        "date": "2026-04-07",
        "source": "https://z.ai/blog/glm-5.1",
        "source_title": "GLM-5.1: Towards Long-Horizon Tasks",
        "flagship": false,
        "event": "https://frontierlog.ai/event/2026-04-07-glm-5-1",
        "releases": [],
        "variant_of": null,
        "made_by": "Z.ai",
        "url": "https://frontierlog.ai/model/glm-5-1",
        "results": 12,
        "price": [
          {
            "from": "2026-11-02",
            "listed": true,
            "currency": "USD",
            "input_per_1m": 1.4,
            "cached_input_per_1m": 0.26,
            "cached_input_derived": false,
            "output_per_1m": 4.4,
            "cache": {
              "kind": "price"
            },
            "tiers": [],
            "printed": {
              "input": "$1.4",
              "cached_input": "$0.26",
              "output": "$4.4"
            },
            "printed_unit": "1M tokens",
            "notes": "",
            "sources": [
              "https://docs.z.ai/guides/overview/pricing",
              "https://openrouter.ai/z-ai/glm-5.1"
            ],
            "check": "human"
          },
          {
            "from": "2026-11-02",
            "listed": true,
            "currency": "CNY",
            "input_per_1m": 6.0,
            "cached_input_per_1m": 1.3,
            "cached_input_derived": false,
            "output_per_1m": 24.0,
            "cache": {
              "kind": "price"
            },
            "tiers": [
              {
                "over": 32000,
                "measure": "input",
                "input_per_1m": 8.0,
                "cached_input_per_1m": 2.0,
                "cached_input_derived": false,
                "output_per_1m": 28.0,
                "printed": {
                  "input": "¥8",
                  "cached_input": "¥2",
                  "output": "¥28"
                }
              }
            ],
            "printed": {
              "input": "¥6",
              "cached_input": "¥1.3",
              "output": "¥24"
            },
            "printed_unit": "1M tokens",
            "notes": "",
            "sources": [
              "https://docs.bigmodel.cn/cn/guide/start/pricing",
              "https://bigmodel.cn/pricing"
            ],
            "check": "corroborated"
          }
        ],
        "context": {
          "from": "2026-11-04",
          "listed": true,
          "window_tokens": 200000,
          "input_tokens": null,
          "output_tokens": 128000,
          "tiers": [],
          "printed": {
            "window": "200K",
            "input": null,
            "output": "128K"
          },
          "notes": "",
          "sources": [
            "https://docs.z.ai/guides/llm/glm-5.1",
            "https://docs.z.ai/guides/overview/overview"
          ],
          "check": "corroborated"
        }
      },
      {
        "slug": "glm-5",
        "name": "GLM-5",
        "lab": "zai",
        "date": "2026-02-12",
        "source": "https://z.ai/blog/glm-5",
        "source_title": "GLM-5: From Vibe Coding to Agentic Engineering",
        "flagship": false,
        "event": "https://frontierlog.ai/event/2026-02-12-glm-5",
        "releases": [],
        "variant_of": null,
        "made_by": "Z.ai",
        "url": "https://frontierlog.ai/model/glm-5",
        "results": 11,
        "price": [
          {
            "from": "2026-11-02",
            "listed": true,
            "currency": "USD",
            "input_per_1m": 1.0,
            "cached_input_per_1m": 0.2,
            "cached_input_derived": false,
            "output_per_1m": 3.2,
            "cache": {
              "kind": "price"
            },
            "tiers": [],
            "printed": {
              "input": "$1",
              "cached_input": "$0.2",
              "output": "$3.2"
            },
            "printed_unit": "1M tokens",
            "notes": "",
            "sources": [
              "https://docs.z.ai/guides/overview/pricing",
              "https://openrouter.ai/z-ai/glm-5"
            ],
            "check": "human"
          },
          {
            "from": "2026-11-02",
            "listed": true,
            "currency": "CNY",
            "input_per_1m": 4.0,
            "cached_input_per_1m": 1.0,
            "cached_input_derived": false,
            "output_per_1m": 18.0,
            "cache": {
              "kind": "price"
            },
            "tiers": [
              {
                "over": 32000,
                "measure": "input",
                "input_per_1m": 6.0,
                "cached_input_per_1m": 1.5,
                "cached_input_derived": false,
                "output_per_1m": 22.0,
                "printed": {
                  "input": "¥6",
                  "cached_input": "¥1.5",
                  "output": "¥22"
                }
              }
            ],
            "printed": {
              "input": "¥4",
              "cached_input": "¥1",
              "output": "¥18"
            },
            "printed_unit": "1M tokens",
            "notes": "",
            "sources": [
              "https://docs.bigmodel.cn/cn/guide/start/pricing"
            ],
            "check": "human"
          }
        ],
        "context": {
          "from": "2026-11-04",
          "listed": true,
          "window_tokens": 200000,
          "input_tokens": null,
          "output_tokens": 128000,
          "tiers": [],
          "printed": {
            "window": "200K",
            "input": null,
            "output": "128K"
          },
          "notes": "",
          "sources": [
            "https://docs.z.ai/guides/llm/glm-5",
            "https://docs.z.ai/guides/overview/overview"
          ],
          "check": "corroborated"
        }
      },
      {
        "slug": "glm-4-7",
        "name": "GLM-4.7",
        "lab": "zai",
        "date": "2025-12-22",
        "source": "https://z.ai/blog/glm-4.7",
        "source_title": "GLM-4.7: Advancing the Coding Capability",
        "flagship": false,
        "event": "https://frontierlog.ai/event/2025-12-22-glm-4-7",
        "releases": [],
        "variant_of": null,
        "made_by": "Z.ai",
        "url": "https://frontierlog.ai/model/glm-4-7",
        "results": 13,
        "price": [
          {
            "from": "2026-11-02",
            "listed": true,
            "currency": "USD",
            "input_per_1m": 0.6,
            "cached_input_per_1m": 0.11,
            "cached_input_derived": false,
            "output_per_1m": 2.2,
            "cache": {
              "kind": "price"
            },
            "tiers": [],
            "printed": {
              "input": "$0.6",
              "cached_input": "$0.11",
              "output": "$2.2"
            },
            "printed_unit": "1M tokens",
            "notes": "",
            "sources": [
              "https://docs.z.ai/guides/overview/pricing",
              "https://openrouter.ai/z-ai/glm-4.7"
            ],
            "check": "human"
          },
          {
            "from": "2026-11-02",
            "listed": true,
            "currency": "CNY",
            "input_per_1m": 2.0,
            "cached_input_per_1m": 0.4,
            "cached_input_derived": false,
            "output_per_1m": 8.0,
            "cache": {
              "kind": "price"
            },
            "tiers": [
              {
                "over": 32000,
                "measure": "input",
                "input_per_1m": 4.0,
                "cached_input_per_1m": 0.8,
                "cached_input_derived": false,
                "output_per_1m": 16.0,
                "printed": {
                  "input": "¥4",
                  "cached_input": "¥0.8",
                  "output": "¥16"
                }
              }
            ],
            "printed": {
              "input": "¥2",
              "cached_input": "¥0.4",
              "output": "¥8"
            },
            "printed_unit": "1M tokens",
            "notes": "Base row is for outputs under 0.2K tokens. Outputs of 0.2K or more, input under 32K: ¥3 in, ¥0.6 cached, ¥14 out",
            "sources": [
              "https://docs.bigmodel.cn/cn/guide/start/pricing"
            ],
            "check": "human"
          }
        ],
        "context": {
          "from": "2026-11-04",
          "listed": true,
          "window_tokens": 200000,
          "input_tokens": null,
          "output_tokens": 128000,
          "tiers": [],
          "printed": {
            "window": "200K",
            "input": null,
            "output": "128K"
          },
          "notes": "",
          "sources": [
            "https://docs.z.ai/guides/llm/glm-4.7",
            "https://docs.z.ai/guides/overview/overview"
          ],
          "check": "corroborated"
        }
      },
      {
        "slug": "glm-4-6v",
        "name": "GLM-4.6V",
        "lab": "zai",
        "date": "2025-12-08",
        "source": "https://z.ai/blog/glm-4.6v",
        "source_title": "GLM-4.6V: Open Source Multimodal Models with Native Tool Use",
        "flagship": false,
        "event": "https://frontierlog.ai/event/2025-12-08-glm-4-6v",
        "releases": [],
        "variant_of": null,
        "made_by": "Z.ai",
        "url": "https://frontierlog.ai/model/glm-4-6v",
        "results": 0,
        "price": [
          {
            "from": "2026-11-02",
            "listed": true,
            "currency": "USD",
            "input_per_1m": 0.3,
            "cached_input_per_1m": 0.05,
            "cached_input_derived": false,
            "output_per_1m": 0.9,
            "cache": {
              "kind": "price"
            },
            "tiers": [],
            "printed": {
              "input": "$0.3",
              "cached_input": "$0.05",
              "output": "$0.9"
            },
            "printed_unit": "1M tokens",
            "notes": "",
            "sources": [
              "https://docs.z.ai/guides/overview/pricing",
              "https://openrouter.ai/z-ai/glm-4.6v"
            ],
            "check": "human"
          },
          {
            "from": "2026-11-02",
            "listed": true,
            "currency": "CNY",
            "input_per_1m": 1.0,
            "cached_input_per_1m": 0.2,
            "cached_input_derived": false,
            "output_per_1m": 3.0,
            "cache": {
              "kind": "price"
            },
            "tiers": [
              {
                "over": 32000,
                "measure": "input",
                "input_per_1m": 2.0,
                "cached_input_per_1m": 0.4,
                "cached_input_derived": false,
                "output_per_1m": 6.0,
                "printed": {
                  "input": "¥2",
                  "cached_input": "¥0.4",
                  "output": "¥6"
                }
              }
            ],
            "printed": {
              "input": "¥1",
              "cached_input": "¥0.2",
              "output": "¥3"
            },
            "printed_unit": "1M tokens",
            "notes": "",
            "sources": [
              "https://docs.bigmodel.cn/cn/guide/start/pricing",
              "https://bigmodel.cn/pricing"
            ],
            "check": "corroborated"
          }
        ],
        "context": {
          "from": "2025-12-08",
          "listed": false,
          "window_tokens": 128000,
          "input_tokens": null,
          "output_tokens": null,
          "tiers": [],
          "printed": {
            "window": "128K",
            "input": null,
            "output": null
          },
          "notes": "",
          "sources": [
            "https://z.ai/blog/glm-4.6v",
            "https://docs.z.ai/guides/vlm/glm-4.6v"
          ],
          "check": "corroborated"
        }
      },
      {
        "slug": "glm-4-6v-flash",
        "name": "GLM-4.6V-Flash",
        "lab": "zai",
        "date": "2025-12-08",
        "source": "https://z.ai/blog/glm-4.6v",
        "source_title": "GLM-4.6V: Open Source Multimodal Models with Native Tool Use",
        "flagship": false,
        "event": "https://frontierlog.ai/event/2025-12-08-glm-4-6v",
        "releases": [],
        "variant_of": null,
        "made_by": "Z.ai",
        "url": "https://frontierlog.ai/model/glm-4-6v-flash",
        "results": 0,
        "price": [],
        "context": {
          "from": "2026-11-04",
          "listed": true,
          "window_tokens": 128000,
          "input_tokens": null,
          "output_tokens": null,
          "tiers": [],
          "printed": {
            "window": "128K",
            "input": null,
            "output": null
          },
          "notes": "",
          "sources": [
            "https://docs.z.ai/guides/vlm/glm-4.6v",
            "https://huggingface.co/zai-org/GLM-4.6V-Flash",
            "https://z.ai/blog/glm-4.6v"
          ],
          "check": "corroborated"
        }
      },
      {
        "slug": "glm-4-6",
        "name": "GLM-4.6",
        "lab": "zai",
        "date": "2025-09-30",
        "source": "https://z.ai/blog/glm-4.6",
        "source_title": "GLM-4.6: Advanced Agentic, Reasoning and Coding Capabilities",
        "flagship": false,
        "event": "https://frontierlog.ai/event/2025-09-30-glm-4-6",
        "releases": [],
        "variant_of": null,
        "made_by": "Z.ai",
        "url": "https://frontierlog.ai/model/glm-4-6",
        "results": 14,
        "price": [
          {
            "from": "2026-11-02",
            "listed": true,
            "currency": "USD",
            "input_per_1m": 0.6,
            "cached_input_per_1m": 0.11,
            "cached_input_derived": false,
            "output_per_1m": 2.2,
            "cache": {
              "kind": "price"
            },
            "tiers": [],
            "printed": {
              "input": "$0.6",
              "cached_input": "$0.11",
              "output": "$2.2"
            },
            "printed_unit": "1M tokens",
            "notes": "",
            "sources": [
              "https://docs.z.ai/guides/overview/pricing",
              "https://openrouter.ai/z-ai/glm-4.6"
            ],
            "check": "human"
          }
        ],
        "context": {
          "from": "2025-09-30",
          "listed": false,
          "window_tokens": 200000,
          "input_tokens": null,
          "output_tokens": 128000,
          "tiers": [],
          "printed": {
            "window": "200K",
            "input": null,
            "output": "128K"
          },
          "notes": "",
          "sources": [
            "https://z.ai/blog/glm-4.6",
            "https://docs.z.ai/guides/llm/glm-4.6",
            "https://docs.z.ai/guides/overview/overview"
          ],
          "check": "corroborated"
        }
      },
      {
        "slug": "glm-4-5",
        "name": "GLM-4.5",
        "lab": "zai",
        "date": "2025-07-28",
        "source": "https://z.ai/blog/glm-4.5",
        "source_title": "GLM-4.5: Reasoning, Coding, and Agentic Abililties",
        "flagship": false,
        "event": "https://frontierlog.ai/event/2025-07-28-glm-4-5",
        "releases": [],
        "variant_of": null,
        "made_by": "Z.ai",
        "url": "https://frontierlog.ai/model/glm-4-5",
        "results": 11,
        "price": [
          {
            "from": "2026-11-02",
            "listed": true,
            "currency": "USD",
            "input_per_1m": 0.6,
            "cached_input_per_1m": 0.11,
            "cached_input_derived": false,
            "output_per_1m": 2.2,
            "cache": {
              "kind": "price"
            },
            "tiers": [],
            "printed": {
              "input": "$0.6",
              "cached_input": "$0.11",
              "output": "$2.2"
            },
            "printed_unit": "1M tokens",
            "notes": "",
            "sources": [
              "https://docs.z.ai/guides/overview/pricing",
              "https://openrouter.ai/z-ai/glm-4.5"
            ],
            "check": "human"
          }
        ],
        "context": {
          "from": "2025-07-28",
          "listed": false,
          "window_tokens": 128000,
          "input_tokens": null,
          "output_tokens": 96000,
          "tiers": [],
          "printed": {
            "window": "128k",
            "input": null,
            "output": "96K"
          },
          "notes": "",
          "sources": [
            "https://z.ai/blog/glm-4.5",
            "https://docs.z.ai/guides/llm/glm-4.5"
          ],
          "check": "corroborated"
        }
      },
      {
        "slug": "glm-4-5-air",
        "name": "GLM-4.5-Air",
        "lab": "zai",
        "date": "2025-07-28",
        "source": "https://z.ai/blog/glm-4.5",
        "source_title": "GLM-4.5: Reasoning, Coding, and Agentic Abililties",
        "flagship": false,
        "event": "https://frontierlog.ai/event/2025-07-28-glm-4-5",
        "releases": [],
        "variant_of": null,
        "made_by": "Z.ai",
        "url": "https://frontierlog.ai/model/glm-4-5-air",
        "results": 5,
        "price": [
          {
            "from": "2026-11-02",
            "listed": true,
            "currency": "USD",
            "input_per_1m": 0.2,
            "cached_input_per_1m": 0.03,
            "cached_input_derived": false,
            "output_per_1m": 1.1,
            "cache": {
              "kind": "price"
            },
            "tiers": [],
            "printed": {
              "input": "$0.2",
              "cached_input": "$0.03",
              "output": "$1.1"
            },
            "printed_unit": "1M tokens",
            "notes": "",
            "sources": [
              "https://docs.z.ai/guides/overview/pricing",
              "https://openrouter.ai/z-ai/glm-4.5-air"
            ],
            "check": "human"
          },
          {
            "from": "2026-11-02",
            "listed": true,
            "currency": "CNY",
            "input_per_1m": 0.8,
            "cached_input_per_1m": 0.16,
            "cached_input_derived": false,
            "output_per_1m": 2.0,
            "cache": {
              "kind": "price"
            },
            "tiers": [
              {
                "over": 32000,
                "measure": "input",
                "input_per_1m": 1.2,
                "cached_input_per_1m": 0.24,
                "cached_input_derived": false,
                "output_per_1m": 8.0,
                "printed": {
                  "input": "¥1.2",
                  "cached_input": "¥0.24",
                  "output": "¥8"
                }
              }
            ],
            "printed": {
              "input": "¥0.8",
              "cached_input": "¥0.16",
              "output": "¥2"
            },
            "printed_unit": "1M tokens",
            "notes": "Base row is for outputs under 0.2K tokens. Outputs of 0.2K or more, input under 32K: ¥0.8 in, ¥0.16 cached, ¥6 out",
            "sources": [
              "https://docs.bigmodel.cn/cn/guide/start/pricing"
            ],
            "check": "human"
          }
        ],
        "context": {
          "from": "2026-11-04",
          "listed": true,
          "window_tokens": 128000,
          "input_tokens": null,
          "output_tokens": 96000,
          "tiers": [],
          "printed": {
            "window": "128K",
            "input": null,
            "output": "96K"
          },
          "notes": "",
          "sources": [
            "https://docs.z.ai/guides/llm/glm-4.5",
            "https://huggingface.co/zai-org/GLM-4.5-Air-FP8",
            "https://huggingface.co/zai-org/GLM-4.5"
          ],
          "check": "corroborated"
        }
      }
    ],
    "benchmarks": [
      {
        "slug": "hle",
        "name": "Humanity's Last Exam",
        "setting": "no-tools",
        "url": "https://frontierlog.ai/benchmark/hle",
        "api": "https://frontierlog.ai/api/v1/benchmarks/hle?lab=zai"
      },
      {
        "slug": "swe-bench-verified",
        "name": "SWE-bench Verified",
        "setting": "default",
        "url": "https://frontierlog.ai/benchmark/swe-bench-verified",
        "api": "https://frontierlog.ai/api/v1/benchmarks/swe-bench-verified?lab=zai"
      },
      {
        "slug": "swe-bench-pro",
        "name": "SWE-bench Pro",
        "setting": "default",
        "url": "https://frontierlog.ai/benchmark/swe-bench-pro",
        "api": "https://frontierlog.ai/api/v1/benchmarks/swe-bench-pro?lab=zai"
      },
      {
        "slug": "gpqa-diamond",
        "name": "GPQA Diamond",
        "setting": "default",
        "url": "https://frontierlog.ai/benchmark/gpqa-diamond",
        "api": "https://frontierlog.ai/api/v1/benchmarks/gpqa-diamond?lab=zai"
      },
      {
        "slug": "browsecomp",
        "name": "BrowseComp",
        "setting": "default",
        "url": "https://frontierlog.ai/benchmark/browsecomp",
        "api": "https://frontierlog.ai/api/v1/benchmarks/browsecomp?lab=zai"
      },
      {
        "slug": "terminal-bench-2-0",
        "name": "Terminal-Bench 2.0",
        "setting": "default",
        "url": "https://frontierlog.ai/benchmark/terminal-bench-2-0",
        "api": "https://frontierlog.ai/api/v1/benchmarks/terminal-bench-2-0?lab=zai"
      },
      {
        "slug": "automationbench",
        "name": "AutomationBench",
        "setting": "default",
        "url": "https://frontierlog.ai/benchmark/automationbench",
        "api": "https://frontierlog.ai/api/v1/benchmarks/automationbench?lab=zai"
      },
      {
        "slug": "deepswe-1-1",
        "name": "DeepSWE v1.1",
        "setting": "default",
        "url": "https://frontierlog.ai/benchmark/deepswe-1-1",
        "api": "https://frontierlog.ai/api/v1/benchmarks/deepswe-1-1?lab=zai"
      },
      {
        "slug": "aime-2024",
        "name": "AIME 2024",
        "setting": "no-tools",
        "url": "https://frontierlog.ai/benchmark/aime-2024",
        "api": "https://frontierlog.ai/api/v1/benchmarks/aime-2024?lab=zai"
      },
      {
        "slug": "aime-2025",
        "name": "AIME 2025",
        "setting": "no-tools",
        "url": "https://frontierlog.ai/benchmark/aime-2025",
        "api": "https://frontierlog.ai/api/v1/benchmarks/aime-2025?lab=zai"
      },
      {
        "slug": "terminal-bench-1-0",
        "name": "Terminal-Bench 1.0",
        "setting": "default",
        "url": "https://frontierlog.ai/benchmark/terminal-bench-1-0",
        "api": "https://frontierlog.ai/api/v1/benchmarks/terminal-bench-1-0?lab=zai"
      },
      {
        "slug": "terminal-bench-2-1",
        "name": "Terminal-Bench 2.1",
        "setting": "default",
        "url": "https://frontierlog.ai/benchmark/terminal-bench-2-1",
        "api": "https://frontierlog.ai/api/v1/benchmarks/terminal-bench-2-1?lab=zai"
      },
      {
        "slug": "mmlu-pro",
        "name": "MMLU-Pro",
        "setting": "default",
        "url": "https://frontierlog.ai/benchmark/mmlu-pro",
        "api": "https://frontierlog.ai/api/v1/benchmarks/mmlu-pro?lab=zai"
      },
      {
        "slug": "hmmt-2025",
        "name": "HMMT February 2025",
        "setting": "no-tools",
        "url": "https://frontierlog.ai/benchmark/hmmt-2025",
        "api": "https://frontierlog.ai/api/v1/benchmarks/hmmt-2025?lab=zai"
      },
      {
        "slug": "livecodebench-v6",
        "name": "LiveCodeBench v6",
        "setting": "default",
        "url": "https://frontierlog.ai/benchmark/livecodebench-v6",
        "api": "https://frontierlog.ai/api/v1/benchmarks/livecodebench-v6?lab=zai"
      },
      {
        "slug": "livecodebench-no-release",
        "name": "LiveCodeBench, no release named",
        "setting": "custom-window",
        "url": "https://frontierlog.ai/benchmark/livecodebench-no-release",
        "api": "https://frontierlog.ai/api/v1/benchmarks/livecodebench-no-release?lab=zai"
      },
      {
        "slug": "mcp-atlas",
        "name": "MCP Atlas",
        "setting": "default",
        "url": "https://frontierlog.ai/benchmark/mcp-atlas",
        "api": "https://frontierlog.ai/api/v1/benchmarks/mcp-atlas?lab=zai"
      },
      {
        "slug": "chartography",
        "name": "Chartography",
        "setting": "with-tools",
        "url": "https://frontierlog.ai/benchmark/chartography/with-tools",
        "api": "https://frontierlog.ai/api/v1/benchmarks/chartography?lab=zai"
      },
      {
        "slug": "cybergym",
        "name": "CyberGym",
        "setting": "default",
        "url": "https://frontierlog.ai/benchmark/cybergym",
        "api": "https://frontierlog.ai/api/v1/benchmarks/cybergym?lab=zai"
      },
      {
        "slug": "agents-last-exam",
        "name": "Agents' Last Exam v1",
        "setting": "cli-pass",
        "url": "https://frontierlog.ai/benchmark/agents-last-exam/cli-pass",
        "api": "https://frontierlog.ai/api/v1/benchmarks/agents-last-exam?lab=zai"
      }
    ],
    "stories": [
      {
        "slug": "meta-muse-rise",
        "title": "Meta's Muse Models Climbed to the Top of DeepSWE in Six Months",
        "date": "2026-11-04",
        "url": "https://frontierlog.ai/stories/meta-muse-rise"
      },
      {
        "slug": "open-models-frontiercode-harness",
        "title": "FrontierCode 2.0's Top Open Model Depends on the Harness",
        "date": "2026-10-30",
        "url": "https://frontierlog.ai/stories/open-models-frontiercode-harness"
      },
      {
        "slug": "does-harness-version-change-score",
        "title": "Does the Harness Version Change a Model's Score?",
        "date": "2026-10-29",
        "url": "https://frontierlog.ai/stories/does-harness-version-change-score"
      },
      {
        "slug": "five-ways-to-remove-refusals",
        "title": "Five Ways to Remove an AI Model's Refusals",
        "date": "2026-10-25",
        "url": "https://frontierlog.ai/stories/five-ways-to-remove-refusals"
      },
      {
        "slug": "abliteration-removes-refusals",
        "title": "Abliteration Removes Refusals, Not Capability",
        "date": "2026-10-25",
        "url": "https://frontierlog.ai/stories/abliteration-removes-refusals"
      },
      {
        "slug": "china-leads-on-automationbench",
        "title": "China Leads on AutomationBench",
        "date": "2026-10-24",
        "url": "https://frontierlog.ai/stories/china-leads-on-automationbench"
      },
      {
        "slug": "benchmark-scores-move-after-launch-day",
        "title": "Benchmark Scores Move After Launch Day",
        "date": "2026-10-22",
        "url": "https://frontierlog.ai/stories/benchmark-scores-move-after-launch-day"
      },
      {
        "slug": "the-harness-is-part-of-the-score",
        "title": "The Harness Is Part of the Score",
        "date": "2026-10-20",
        "url": "https://frontierlog.ai/stories/the-harness-is-part-of-the-score"
      }
    ]
  }
}
