{
  "api_version": "1",
  "updated": "2026-10-26",
  "latest_event": "2026-10-26",
  "rights": "© Frontier Log, all rights reserved.",
  "model": {
    "slug": "nemotron-3-5-bolt",
    "name": "Nemotron 3.5 Bolt",
    "lab": "nvidia",
    "date": "2026-10-15",
    "source": "https://blogs.nvidia.com/blog/nemotron-3-5-super-vl/",
    "source_title": "Open From Data Center to Desktop: NVIDIA Expands Nemotron Family With Highest Efficiency Super VL and Bolt Models",
    "flagship": false,
    "event": "https://frontierlog.ai/event/2026-10-15-nemotron-3-5-super-vl-bolt",
    "releases": [],
    "variant_of": null,
    "made_by": "NVIDIA",
    "url": "https://frontierlog.ai/model/nemotron-3-5-bolt",
    "results": [
      {
        "id": "nemotron-3-5-bolt:terminal-bench-2-1:default:1",
        "model": "nemotron-3-5-bolt",
        "model_name": "Nemotron 3.5 Bolt",
        "model_date": "2026-10-15",
        "event": "https://frontierlog.ai/event/2026-10-15-nemotron-3-5-super-vl-bolt",
        "benchmark": "terminal-bench-2-1",
        "benchmark_name": "Terminal-Bench 2.1",
        "setting": "default",
        "setting_name": "",
        "score": 53.93,
        "unit": "%",
        "printed": "53.93",
        "reported_by": "nvidia",
        "run_by": null,
        "label": "Nemotron 3.5 Bolt 74B-A9B-BF16",
        "source": "https://research.nvidia.com/labs/nemotron/files/NVIDIA-Nemotron-3.5-Bolt-74B-A9B-24GB-Technical-Report.pdf",
        "source_title": "Nemotron 3.5 Bolt 74B-A9B 24GB: A Hybrid Vision-Language Model for Local AI",
        "source_date": "2026-10-15",
        "where": "Table 7 (section 8), row 'Terminal-Bench 2.1', column 'Nemotron 3.5 Bolt 74B-A9B-BF16'",
        "own": true,
        "primary": true,
        "parallel": false,
        "notes": "BF16 weights",
        "caveat": "",
        "human_verified": false,
        "human_verified_on": null,
        "check": "corroborated",
        "corroborated": true,
        "corroborated_on": "2026-10-26",
        "corroborated_by": [
          {
            "url": "https://huggingface.co/nvidia/NVIDIA-Nemotron-3.5-Bolt-74B-A9B-BF16/blob/567021037ff88364143e24ea05e6abd0f72086ff/README.md",
            "name": "Nemotron 3.5 Super VL and Bolt card",
            "title": "nvidia/NVIDIA-Nemotron-3.5-Bolt-74B-A9B-BF16 model card (revision of 2026-10-19)",
            "lab": "nvidia",
            "date": "2026-10-15",
            "printed": "53.93",
            "where": "BF16 HF card Benchmarks table, row \"Terminal-Bench 2.1\", column \"Nemotron 3.5 Bolt 74B-A9B (BF16)\" (same value in launch revision ea56833 of 2026-10-15)."
          }
        ]
      },
      {
        "id": "nemotron-3-5-bolt:hle:no-tools:1",
        "model": "nemotron-3-5-bolt",
        "model_name": "Nemotron 3.5 Bolt",
        "model_date": "2026-10-15",
        "event": "https://frontierlog.ai/event/2026-10-15-nemotron-3-5-super-vl-bolt",
        "benchmark": "hle",
        "benchmark_name": "Humanity's Last Exam",
        "setting": "no-tools",
        "setting_name": "No tools",
        "score": 28.73,
        "unit": "%",
        "printed": "28.73",
        "reported_by": "nvidia",
        "run_by": null,
        "label": "Nemotron 3.5 Bolt 74B-A9B-BF16",
        "source": "https://research.nvidia.com/labs/nemotron/files/NVIDIA-Nemotron-3.5-Bolt-74B-A9B-24GB-Technical-Report.pdf",
        "source_title": "Nemotron 3.5 Bolt 74B-A9B 24GB: A Hybrid Vision-Language Model for Local AI",
        "source_date": "2026-10-15",
        "where": "Table 7 (section 8), row 'HLE (no tools)', column 'Nemotron 3.5 Bolt 74B-A9B-BF16'",
        "own": true,
        "primary": true,
        "parallel": false,
        "notes": "BF16 weights",
        "caveat": "",
        "human_verified": false,
        "human_verified_on": null,
        "check": "corroborated",
        "corroborated": true,
        "corroborated_on": "2026-10-26",
        "corroborated_by": [
          {
            "url": "https://huggingface.co/nvidia/NVIDIA-Nemotron-3.5-Bolt-74B-A9B-BF16/blob/567021037ff88364143e24ea05e6abd0f72086ff/README.md",
            "name": "Nemotron 3.5 Super VL and Bolt card",
            "title": "nvidia/NVIDIA-Nemotron-3.5-Bolt-74B-A9B-BF16 model card (revision of 2026-10-19)",
            "lab": "nvidia",
            "date": "2026-10-15",
            "printed": "28.73",
            "where": "BF16 HF card Benchmarks table, row \"HLE (no tools)\", column \"Nemotron 3.5 Bolt 74B-A9B (BF16)\" (same value in launch revision ea56833 of 2026-10-15)."
          }
        ]
      },
      {
        "id": "nemotron-3-5-bolt:gpqa-diamond:default:1",
        "model": "nemotron-3-5-bolt",
        "model_name": "Nemotron 3.5 Bolt",
        "model_date": "2026-10-15",
        "event": "https://frontierlog.ai/event/2026-10-15-nemotron-3-5-super-vl-bolt",
        "benchmark": "gpqa-diamond",
        "benchmark_name": "GPQA Diamond",
        "setting": "default",
        "setting_name": "",
        "score": 88.83,
        "unit": "%",
        "printed": "88.83",
        "reported_by": "nvidia",
        "run_by": null,
        "label": "Nemotron 3.5 Bolt 74B-A9B-BF16",
        "source": "https://research.nvidia.com/labs/nemotron/files/NVIDIA-Nemotron-3.5-Bolt-74B-A9B-24GB-Technical-Report.pdf",
        "source_title": "Nemotron 3.5 Bolt 74B-A9B 24GB: A Hybrid Vision-Language Model for Local AI",
        "source_date": "2026-10-15",
        "where": "Table 7 (section 8), row 'GPQA Diamond', column 'Nemotron 3.5 Bolt 74B-A9B-BF16'",
        "own": true,
        "primary": true,
        "parallel": false,
        "notes": "BF16 weights",
        "caveat": "",
        "human_verified": false,
        "human_verified_on": null,
        "check": "corroborated",
        "corroborated": true,
        "corroborated_on": "2026-10-26",
        "corroborated_by": [
          {
            "url": "https://huggingface.co/nvidia/NVIDIA-Nemotron-3.5-Bolt-74B-A9B-BF16/blob/567021037ff88364143e24ea05e6abd0f72086ff/README.md",
            "name": "Nemotron 3.5 Super VL and Bolt card",
            "title": "nvidia/NVIDIA-Nemotron-3.5-Bolt-74B-A9B-BF16 model card (revision of 2026-10-19)",
            "lab": "nvidia",
            "date": "2026-10-15",
            "printed": "88.83",
            "where": "BF16 HF card Benchmarks table, row \"GPQA Diamond\", column \"Nemotron 3.5 Bolt 74B-A9B (BF16)\" (same value in launch revision ea56833 of 2026-10-15)."
          }
        ]
      },
      {
        "id": "nemotron-3-5-bolt:mcp-atlas:default:1",
        "model": "nemotron-3-5-bolt",
        "model_name": "Nemotron 3.5 Bolt",
        "model_date": "2026-10-15",
        "event": "https://frontierlog.ai/event/2026-10-15-nemotron-3-5-super-vl-bolt",
        "benchmark": "mcp-atlas",
        "benchmark_name": "MCP Atlas",
        "setting": "default",
        "setting_name": "",
        "score": 55.6,
        "unit": "%",
        "printed": "55.60",
        "reported_by": "nvidia",
        "run_by": null,
        "label": "Nemotron 3.5 Bolt 74B-A9B-BF16",
        "source": "https://research.nvidia.com/labs/nemotron/files/NVIDIA-Nemotron-3.5-Bolt-74B-A9B-24GB-Technical-Report.pdf",
        "source_title": "Nemotron 3.5 Bolt 74B-A9B 24GB: A Hybrid Vision-Language Model for Local AI",
        "source_date": "2026-10-15",
        "where": "Table 7 (section 8), row 'MCP-Atlas', column 'Nemotron 3.5 Bolt 74B-A9B-BF16'",
        "own": true,
        "primary": true,
        "parallel": false,
        "notes": "BF16 weights; 500 public tasks; reasoning on",
        "caveat": "",
        "human_verified": false,
        "human_verified_on": null,
        "check": "corroborated",
        "corroborated": true,
        "corroborated_on": "2026-10-26",
        "corroborated_by": [
          {
            "url": "https://huggingface.co/nvidia/NVIDIA-Nemotron-3.5-Bolt-74B-A9B-BF16/blob/567021037ff88364143e24ea05e6abd0f72086ff/README.md",
            "name": "Nemotron 3.5 Super VL and Bolt card",
            "title": "nvidia/NVIDIA-Nemotron-3.5-Bolt-74B-A9B-BF16 model card (revision of 2026-10-19)",
            "lab": "nvidia",
            "date": "2026-10-15",
            "printed": "55.60",
            "where": "BF16 HF card Benchmarks table, row \"MCP-Atlas\", column \"Nemotron 3.5 Bolt 74B-A9B (BF16)\" (same value in launch revision ea56833 of 2026-10-15). Card text: measured on the 500 public MCP-Atlas tasks (stated in the Qwen footnote and the RL section); reasoning mode not stated in the table."
          }
        ]
      },
      {
        "id": "nemotron-3-5-bolt:browsecomp:default:1",
        "model": "nemotron-3-5-bolt",
        "model_name": "Nemotron 3.5 Bolt",
        "model_date": "2026-10-15",
        "event": "https://frontierlog.ai/event/2026-10-15-nemotron-3-5-super-vl-bolt",
        "benchmark": "browsecomp",
        "benchmark_name": "BrowseComp",
        "setting": "default",
        "setting_name": "",
        "score": 70.0,
        "unit": "%",
        "printed": "70.00",
        "reported_by": "nvidia",
        "run_by": null,
        "label": "Nemotron 3.5 Bolt 74B-A9B-BF16",
        "source": "https://research.nvidia.com/labs/nemotron/files/NVIDIA-Nemotron-3.5-Bolt-74B-A9B-24GB-Technical-Report.pdf",
        "source_title": "Nemotron 3.5 Bolt 74B-A9B 24GB: A Hybrid Vision-Language Model for Local AI",
        "source_date": "2026-10-15",
        "where": "Table 7 (section 8), row 'BrowseComp', column 'Nemotron 3.5 Bolt 74B-A9B-BF16'",
        "own": true,
        "primary": true,
        "parallel": false,
        "notes": "BF16 weights; Exa web search",
        "caveat": "",
        "human_verified": false,
        "human_verified_on": null,
        "check": "corroborated",
        "corroborated": true,
        "corroborated_on": "2026-10-26",
        "corroborated_by": [
          {
            "url": "https://huggingface.co/nvidia/NVIDIA-Nemotron-3.5-Bolt-74B-A9B-BF16/blob/567021037ff88364143e24ea05e6abd0f72086ff/README.md",
            "name": "Nemotron 3.5 Super VL and Bolt card",
            "title": "nvidia/NVIDIA-Nemotron-3.5-Bolt-74B-A9B-BF16 model card (revision of 2026-10-19)",
            "lab": "nvidia",
            "date": "2026-10-15",
            "printed": "70.00",
            "where": "BF16 HF card Benchmarks table, row \"BrowseComp\", column \"Nemotron 3.5 Bolt 74B-A9B (BF16)\" (same value in launch revision ea56833 of 2026-10-15). Search tool not stated in the card table."
          }
        ]
      },
      {
        "id": "nemotron-3-5-bolt:terminal-bench-2-1:default:2",
        "model": "nemotron-3-5-bolt",
        "model_name": "Nemotron 3.5 Bolt",
        "model_date": "2026-10-15",
        "event": "https://frontierlog.ai/event/2026-10-15-nemotron-3-5-super-vl-bolt",
        "benchmark": "terminal-bench-2-1",
        "benchmark_name": "Terminal-Bench 2.1",
        "setting": "default",
        "setting_name": "",
        "score": 50.98,
        "unit": "%",
        "printed": "50.98",
        "reported_by": "nvidia",
        "run_by": null,
        "label": "Nemotron 3.5 Bolt 74B-A9B-24GB",
        "source": "https://research.nvidia.com/labs/nemotron/files/NVIDIA-Nemotron-3.5-Bolt-74B-A9B-24GB-Technical-Report.pdf",
        "source_title": "Nemotron 3.5 Bolt 74B-A9B 24GB: A Hybrid Vision-Language Model for Local AI",
        "source_date": "2026-10-15",
        "where": "Table 7 (section 8), row 'Terminal-Bench 2.1', column 'Nemotron 3.5 Bolt 74B-A9B-24GB'",
        "own": true,
        "primary": false,
        "parallel": false,
        "notes": "24GB build with 2-bit (IQ2) weights",
        "caveat": "",
        "human_verified": false,
        "human_verified_on": null,
        "check": "corroborated",
        "corroborated": true,
        "corroborated_on": "2026-10-26",
        "corroborated_by": [
          {
            "url": "https://huggingface.co/nvidia/NVIDIA-Nemotron-3.5-Bolt-74B-A9B-BF16/blob/567021037ff88364143e24ea05e6abd0f72086ff/README.md",
            "name": "Nemotron 3.5 Super VL and Bolt card",
            "title": "nvidia/NVIDIA-Nemotron-3.5-Bolt-74B-A9B-BF16 model card (revision of 2026-10-19)",
            "lab": "nvidia",
            "date": "2026-10-15",
            "printed": "50.98",
            "where": "BF16 HF card Benchmarks table, row \"Terminal-Bench 2.1\", column \"Nemotron 3.5 Bolt 74B-A9B-24GB (IQ2)\"."
          }
        ]
      },
      {
        "id": "nemotron-3-5-bolt:hle:no-tools:2",
        "model": "nemotron-3-5-bolt",
        "model_name": "Nemotron 3.5 Bolt",
        "model_date": "2026-10-15",
        "event": "https://frontierlog.ai/event/2026-10-15-nemotron-3-5-super-vl-bolt",
        "benchmark": "hle",
        "benchmark_name": "Humanity's Last Exam",
        "setting": "no-tools",
        "setting_name": "No tools",
        "score": 25.3,
        "unit": "%",
        "printed": "25.30",
        "reported_by": "nvidia",
        "run_by": null,
        "label": "Nemotron 3.5 Bolt 74B-A9B-24GB",
        "source": "https://research.nvidia.com/labs/nemotron/files/NVIDIA-Nemotron-3.5-Bolt-74B-A9B-24GB-Technical-Report.pdf",
        "source_title": "Nemotron 3.5 Bolt 74B-A9B 24GB: A Hybrid Vision-Language Model for Local AI",
        "source_date": "2026-10-15",
        "where": "Table 7 (section 8), row 'HLE (no tools)', column 'Nemotron 3.5 Bolt 74B-A9B-24GB'",
        "own": true,
        "primary": false,
        "parallel": false,
        "notes": "24GB build with 2-bit (IQ2) weights",
        "caveat": "",
        "human_verified": false,
        "human_verified_on": null,
        "check": "corroborated",
        "corroborated": true,
        "corroborated_on": "2026-10-26",
        "corroborated_by": [
          {
            "url": "https://huggingface.co/nvidia/NVIDIA-Nemotron-3.5-Bolt-74B-A9B-BF16/blob/567021037ff88364143e24ea05e6abd0f72086ff/README.md",
            "name": "Nemotron 3.5 Super VL and Bolt card",
            "title": "nvidia/NVIDIA-Nemotron-3.5-Bolt-74B-A9B-BF16 model card (revision of 2026-10-19)",
            "lab": "nvidia",
            "date": "2026-10-15",
            "printed": "25.30",
            "where": "BF16 HF card Benchmarks table, row \"HLE (no tools)\", column \"Nemotron 3.5 Bolt 74B-A9B-24GB (IQ2)\"."
          }
        ]
      },
      {
        "id": "nemotron-3-5-bolt:gpqa-diamond:default:2",
        "model": "nemotron-3-5-bolt",
        "model_name": "Nemotron 3.5 Bolt",
        "model_date": "2026-10-15",
        "event": "https://frontierlog.ai/event/2026-10-15-nemotron-3-5-super-vl-bolt",
        "benchmark": "gpqa-diamond",
        "benchmark_name": "GPQA Diamond",
        "setting": "default",
        "setting_name": "",
        "score": 86.43,
        "unit": "%",
        "printed": "86.43",
        "reported_by": "nvidia",
        "run_by": null,
        "label": "Nemotron 3.5 Bolt 74B-A9B-24GB",
        "source": "https://research.nvidia.com/labs/nemotron/files/NVIDIA-Nemotron-3.5-Bolt-74B-A9B-24GB-Technical-Report.pdf",
        "source_title": "Nemotron 3.5 Bolt 74B-A9B 24GB: A Hybrid Vision-Language Model for Local AI",
        "source_date": "2026-10-15",
        "where": "Table 7 (section 8), row 'GPQA Diamond', column 'Nemotron 3.5 Bolt 74B-A9B-24GB'",
        "own": true,
        "primary": false,
        "parallel": false,
        "notes": "24GB build with 2-bit (IQ2) weights",
        "caveat": "",
        "human_verified": false,
        "human_verified_on": null,
        "check": "corroborated",
        "corroborated": true,
        "corroborated_on": "2026-10-26",
        "corroborated_by": [
          {
            "url": "https://huggingface.co/nvidia/NVIDIA-Nemotron-3.5-Bolt-74B-A9B-BF16/blob/567021037ff88364143e24ea05e6abd0f72086ff/README.md",
            "name": "Nemotron 3.5 Super VL and Bolt card",
            "title": "nvidia/NVIDIA-Nemotron-3.5-Bolt-74B-A9B-BF16 model card (revision of 2026-10-19)",
            "lab": "nvidia",
            "date": "2026-10-15",
            "printed": "86.43",
            "where": "BF16 HF card Benchmarks table, row \"GPQA Diamond\", column \"Nemotron 3.5 Bolt 74B-A9B-24GB (IQ2)\"."
          }
        ]
      },
      {
        "id": "nemotron-3-5-bolt:mcp-atlas:default:2",
        "model": "nemotron-3-5-bolt",
        "model_name": "Nemotron 3.5 Bolt",
        "model_date": "2026-10-15",
        "event": "https://frontierlog.ai/event/2026-10-15-nemotron-3-5-super-vl-bolt",
        "benchmark": "mcp-atlas",
        "benchmark_name": "MCP Atlas",
        "setting": "default",
        "setting_name": "",
        "score": 52.2,
        "unit": "%",
        "printed": "52.20",
        "reported_by": "nvidia",
        "run_by": null,
        "label": "Nemotron 3.5 Bolt 74B-A9B-24GB",
        "source": "https://research.nvidia.com/labs/nemotron/files/NVIDIA-Nemotron-3.5-Bolt-74B-A9B-24GB-Technical-Report.pdf",
        "source_title": "Nemotron 3.5 Bolt 74B-A9B 24GB: A Hybrid Vision-Language Model for Local AI",
        "source_date": "2026-10-15",
        "where": "Table 7 (section 8), row 'MCP-Atlas', column 'Nemotron 3.5 Bolt 74B-A9B-24GB'",
        "own": true,
        "primary": false,
        "parallel": false,
        "notes": "24GB build with 2-bit (IQ2) weights; 500 public tasks; reasoning on",
        "caveat": "",
        "human_verified": false,
        "human_verified_on": null,
        "check": "corroborated",
        "corroborated": true,
        "corroborated_on": "2026-10-26",
        "corroborated_by": [
          {
            "url": "https://huggingface.co/nvidia/NVIDIA-Nemotron-3.5-Bolt-74B-A9B-BF16/blob/567021037ff88364143e24ea05e6abd0f72086ff/README.md",
            "name": "Nemotron 3.5 Super VL and Bolt card",
            "title": "nvidia/NVIDIA-Nemotron-3.5-Bolt-74B-A9B-BF16 model card (revision of 2026-10-19)",
            "lab": "nvidia",
            "date": "2026-10-15",
            "printed": "52.20",
            "where": "BF16 HF card Benchmarks table, row \"MCP-Atlas\", column \"Nemotron 3.5 Bolt 74B-A9B-24GB (IQ2)\". Card text: measured on the 500 public MCP-Atlas tasks (stated in the Qwen footnote and the RL section); reasoning mode not stated in the table."
          }
        ]
      },
      {
        "id": "nemotron-3-5-bolt:browsecomp:default:2",
        "model": "nemotron-3-5-bolt",
        "model_name": "Nemotron 3.5 Bolt",
        "model_date": "2026-10-15",
        "event": "https://frontierlog.ai/event/2026-10-15-nemotron-3-5-super-vl-bolt",
        "benchmark": "browsecomp",
        "benchmark_name": "BrowseComp",
        "setting": "default",
        "setting_name": "",
        "score": 66.75,
        "unit": "%",
        "printed": "66.75",
        "reported_by": "nvidia",
        "run_by": null,
        "label": "Nemotron 3.5 Bolt 74B-A9B-24GB",
        "source": "https://research.nvidia.com/labs/nemotron/files/NVIDIA-Nemotron-3.5-Bolt-74B-A9B-24GB-Technical-Report.pdf",
        "source_title": "Nemotron 3.5 Bolt 74B-A9B 24GB: A Hybrid Vision-Language Model for Local AI",
        "source_date": "2026-10-15",
        "where": "Table 7 (section 8), row 'BrowseComp', column 'Nemotron 3.5 Bolt 74B-A9B-24GB'",
        "own": true,
        "primary": false,
        "parallel": false,
        "notes": "24GB build with 2-bit (IQ2) weights; Exa web search",
        "caveat": "",
        "human_verified": false,
        "human_verified_on": null,
        "check": "corroborated",
        "corroborated": true,
        "corroborated_on": "2026-10-26",
        "corroborated_by": [
          {
            "url": "https://huggingface.co/nvidia/NVIDIA-Nemotron-3.5-Bolt-74B-A9B-BF16/blob/567021037ff88364143e24ea05e6abd0f72086ff/README.md",
            "name": "Nemotron 3.5 Super VL and Bolt card",
            "title": "nvidia/NVIDIA-Nemotron-3.5-Bolt-74B-A9B-BF16 model card (revision of 2026-10-19)",
            "lab": "nvidia",
            "date": "2026-10-15",
            "printed": "66.75",
            "where": "BF16 HF card Benchmarks table, row \"BrowseComp\", column \"Nemotron 3.5 Bolt 74B-A9B-24GB (IQ2)\". Search tool not stated in the card table."
          }
        ]
      }
    ]
  }
}
