Google launches AlphaGo
DeepMind's AlphaGo beat European champion Fan Hui 5-0, the first program to beat a professional Go player.
DeepMind's AlphaGo beat European champion Fan Hui 5-0, the first program to beat a professional Go player.
DeepMind's generative model of raw audio produces more natural speech than the best existing text-to-speech systems.
Google Translate now uses GNMT for all Chinese-to-English translations, cutting translation errors by 55%-85%.
DeepMind's AlphaGo Zero learns Go by self-play alone and beats the champion-defeating AlphaGo 100-0.
Transformers plus unsupervised pre-training set state-of-the-art results across language tasks; system released.
Google open-sources BERT, a bidirectional pre-trained language model, state of the art on 11 NLP tasks.
DeepMind's AlphaZero teaches itself chess, shogi and Go, beating a world-champion program in each.
A 1.5B-parameter language model trained to predict the next word; only a much smaller model was released.
Google Research open-sources T5, an 11B-parameter text-to-text model, with the C4 dataset.
A 175-billion-parameter language model that performs new tasks from a few examples, without fine-tuning.
DeepMind's latest AlphaFold scores a median 92.4 GDT at CASP14, recognised as a solution to protein folding.
Google Research's ViT applies the Transformer to image patches, beating comparable CNNs with four times less compute.
A neural network that learns visual concepts from natural language and classifies images zero-shot.
A 12-billion parameter version of GPT-3 that generates images from text captions.
Google's conversational language model, trained on dialogue, can talk freely about a seemingly endless number of topics.
Codex, the model behind GitHub Copilot, translates natural language to code; private beta in the API.
Google Brain's trillion-weight sparse mixture-of-experts (MoE) model; competitive with GPT-3, more efficiently.
Models trained with humans in the loop follow instructions better than GPT-3; now the API default.
Google's 540B-parameter model, trained with Pathways on 6,144 TPU chips, sets few-shot records.
DeepMind's Gato uses one network to play Atari, caption images, chat and stack blocks with a robot arm.
An open-sourced speech recognition model approaching human-level robustness and accuracy on English.
DeepMind's AlphaCode, now published in Science, writes programs at a competitive level in coding contests.
Google Research's multi-task robot model, trained on 130k episodes over 700+ tasks; its code is open source.
Multimodal model accepting image and text inputs and emitting text, with human-level performance on various benchmarks.
Anthropic offers Claude and the lighter, faster Claude Instant through a chat interface and API.
Language model with stronger multilingual, reasoning and coding skills, in four sizes, powering 25+ products.
New model with a 100K token context window, available via API and the claude.ai beta in the US and UK.
A vision-language-action model that learns from web and robot data and turns instructions into robot actions.
A faster, lower-priced model with gains in math, coding, reasoning and safety, available through the API.
Google DeepMind classifies the effects of 71 million missense mutations to help pinpoint causes of disease.
GPT-4 Turbo offers a 128K context window and lower prices, with a Vision version.
Google DeepMind's weather model gives 10-day forecasts in under a minute, beating HRES on 90%+ of variables.
Google DeepMind's music generation model, tested in YouTube Shorts via Dream Track and in Music AI tools.
Adds a 200K token context window, 2x fewer false statements than Claude 2.0, system prompts and beta tool use.
A deep learning tool predicted 2.2 million new crystals; 380,000 stable ones are released to researchers.
Google's first natively multimodal models, in three sizes; Ultra leads on 30 of 32 benchmarks at launch.
Sparse mixture-of-experts (MoE) model with open weights under Apache 2.0; beats Llama 2 70B on most benchmarks.
DeepMind's neuro-symbolic system solved 25 of 30 Olympiad geometry problems; code and model open-sourced.
Google's upgraded text-to-image model rolls out in Bard, ImageFX, Search and Vertex AI, with SynthID.
Gemini 1.5 Pro, a mixture-of-experts (MoE) model, matches 1.0 Ultra with less compute and offers up to 1M tokens.
A text-conditional diffusion model trained jointly on videos and images to generate video.
Open-weights Gemma 2B and 7B models, built from Gemini research, with a Responsible Generative AI Toolkit.
Haiku, Sonnet and Opus models, in ascending order of capability, set new benchmarks at launch.
The fastest, most affordable model in its intelligence class, in the API and for Claude Pro users.
Open release of the base model weights and architecture of a 314B-parameter mixture-of-experts (MoE) model, under the Apache 2.0 license.
Open mixture-of-experts (MoE) model with 480B total and 17B active parameters, built for enterprise tasks such as SQL and coding, under Apache 2.0.
Predicts structures and interactions of proteins, DNA, RNA and ligands; free via the new AlphaFold Server.
New flagship model that reasons across audio, vision and text in real time.
Google's most capable video model makes 1080p videos over a minute long; private preview in VideoFX.
A lighter, faster model with a 1 million token context window; 1.5 Pro's window grows to 2 million.
Google's highest-quality text-to-image model, with better detail and text rendering; preview in ImageFX.
Outperforms Claude 3 Opus on key evaluations at twice the speed.
Open models in 9B and 27B sizes, with the 27B competitive with models more than twice its size.
A smaller, cost-efficient model in the GPT-4o family.
DeepMind's first AI system for designing novel, high-strength protein binders for biology and health research.
A reasoning model that thinks through a long chain of thought before answering, released in preview.
A cost-efficient reasoning model alongside o1.
Open models built on Gemma 2 that ground answers in Google's Data Commons statistics to reduce hallucination.
DeepMind names its chip-layout method AlphaChip and releases a pre-trained checkpoint with model weights.
A refreshed, more capable Claude 3.5 Sonnet and a new Claude 3.5 Haiku model.
A foundation world model that generates playable 3D environments from one prompt image, to train agents.
AI ensemble weather model beats ECMWF's ENS up to 15 days ahead; code and weights are released openly.
First Gemini 2.0 model, with native image and audio output and tool use; beats 1.5 Pro at twice the speed.
New video model with up to 4K resolution and improved physics and cinematography, available in VideoFX.
o1 comes to developers alongside Realtime API improvements and a new fine-tuning method.
Open-weights mixture-of-experts (MoE) model with 671B parameters, 37B active, trained on 14.8T tokens.
Coding model with a more efficient architecture and tokenizer, completing code about 2x faster.
Open models MiniMax-Text-01 and MiniMax-VL-01: 456B parameters, 45.9B active, with up to 4M tokens of context.
Open reasoning model on par with OpenAI o1, with code and weights under the MIT License.
Vision-language models in 3B, 7B and 72B sizes that read documents and charts and act as visual agents.
Open 7B and 14B models with 1M-token context windows, plus an open-sourced inference framework.
Large mixture-of-experts (MoE) model pretrained on over 20 trillion tokens, in the API and Qwen Chat.
Open 24B model under Apache 2.0, built for low latency and local deployment, with base and instruct checkpoints.
A new small model in the reasoning line.
2.0 Flash is generally available, with 2.0 Pro Experimental (2 million tokens) and Flash-Lite in preview.
24B model for Arabic and South Asian languages, via API or deployed on premises.
First hybrid reasoning model: near-instant answers or visible extended thinking.
Preview reasoning model built on Qwen2.5-Max for math, coding and agent tasks, in Qwen Chat.
Research preview of GPT-4.5, OpenAI's largest and best model for chat at release.
32B reasoning model trained with reinforcement learning, under Apache 2.0; comparable to DeepSeek-R1.
Two Gemini 2.0-based models: a vision-language-action model that controls robots and a spatial-reasoning model.
Open models in 1B, 4B, 12B and 27B sizes with vision, a 128k-token context window and function calling.
Open model under Apache 2.0 that adds image understanding and a context window of up to 128k tokens.
Open reasoning model family built on Llama models; Nano and Super available now, with Ultra to follow.
New speech-to-text and text-to-speech models in the API; developers can instruct how the voice speaks.
The first Gemini 2.5 model, a thinking model that debuts at #1 on LMArena, with a 1 million token context.
Open models in 2B, 9B and 27B sizes, fine-tuned from Gemma 2 to predict properties of therapeutics.
Update to DeepSeek-V3 with stronger reasoning, front-end development and tool use, now under the MIT License.
7B end-to-end model that takes text, images, audio and video and answers in text and streaming speech.
Visual reasoning model that analyzes and reasons over images and video, in Qwen Chat.
Cloaked 1M-context model on OpenRouter, free to test; revealed as an early test of GPT-4.1.
Second cloaked 1M-context model on OpenRouter; revealed as another test of GPT-4.1.
New API model family with gains in coding, instruction following and long context, plus a first nano model.
OpenAI's smartest and most capable models at release, with full tool access.
Preview of a hybrid reasoning model with thinking that can be switched on or off, in the Gemini API and the Gemini app.
Six dense and two mixture-of-experts (MoE) models from 0.6B to 235B parameters, under Apache 2.0.
Model for enterprise use priced at $0.4/$2 per million tokens, via API or self-deployed on four GPUs.
A Gemini-powered evolutionary coding agent that discovers and optimizes algorithms for math and computing.
Veo 3 generates video with audio for the first time; Imagen 4 adds 2k resolution and better typography.
Experimental text diffusion model, faster than Google's fastest model while matching its coding performance.
Open agentic coding model under Apache 2.0, built with All Hands AI, scoring 46.8% on SWE-Bench Verified.
Opus 4 and Sonnet 4 can use tools during extended thinking; Opus 4 is aimed at long agent tasks.
Update to DeepSeek-R1 with better benchmark scores, fewer hallucinations, and JSON output and function calling.
Custom models built for U.S. national security customers in classified environments.
Mistral's first reasoning model: open 24B Magistral Small under Apache 2.0, plus Magistral Medium for enterprise.
Open hybrid-attention reasoning model with a 1M-token context window, trained with the CISPO RL algorithm.
Gemini 2.5 Flash and Pro become stable and generally available, and 2.5 Flash-Lite launches in preview.
A VLA model that runs locally on robots, adapts to new tasks with 50 to 100 demonstrations, via trusted testers.
A DNA sequence model that predicts how variants affect gene regulation, in preview via API for research.
Mobile-first open models, E2B and E4B, taking image, audio, video and text input, now fully released.
Cloaked 1M-context model on OpenRouter with native tool calling; its lab is not revealed.
Open health models: MedGemma 27B Multimodal adds EHR interpretation; MedSigLIP encodes medical images.
Open encoder-decoder models adapted from Gemma 2 2B and 9B, plus new T5-sized Small to XL models.
Open 24B coding agent model under Apache 2.0, scoring 53.6% on SWE-Bench Verified; Devstral Medium is API-only.
Open mixture-of-experts (MoE) model with 1T total and 32B active parameters, built for agentic tasks.
Open speech understanding models in 24B and 3B sizes under Apache 2.0, also available on the API.
480B mixture-of-experts (MoE) coding model with 35B active, released with the Qwen Code command-line tool.
Updated 235B thinking model with 256K context, after an Instruct-2507 non-thinking update earlier that week.
Open hybrid reasoning models: GLM-4.5 (355B total, 32B active) and GLM-4.5-Air (106B, 12B active).
Open 49B reasoning model that fits on a single H100 GPU, with gains in math, science, coding and tool calling.
Earth observation model producing embeddings of land and coastal waters, released as an Earth Engine dataset.
Code-completion update with 30% more accepted completions, shipped in Mistral's enterprise coding stack.
Cloaked 256K-context model on OpenRouter with image input; revealed as an earlier iteration of GPT-5.
Improved version of Horizon Alpha on OpenRouter, 256K context; revealed as an earlier GPT-5.
Two open-weight language models under Apache 2.0, optimized for deployment on consumer hardware.
An upgrade to Opus 4 on agentic tasks, real-world coding and reasoning, at the same price.
A world model that generates interactive environments from text, navigable in real time at 24 fps and 720p.
OpenAI's new flagship model, with leading performance across coding, math, writing and health.
Compact 270M-parameter open model for task-specific fine-tuning, released pretrained and instruction-tuned.
Open 9B hybrid Mamba-Transformer reasoning model with 128K context, released with a 6.6T-token pretraining dataset.
Hybrid model with thinking and non-thinking modes in one, faster thinking and stronger agent skills.
A new image editing model in the Gemini app keeps people's and pets' likeness consistent across edits.
A more advanced speech-to-speech model; the Realtime API adds MCP servers, image input and SIP calls.
Open-weights 560B-parameter MoE model activating 18.6B to 31.3B (27B on average) per token.
Faster sibling of Sonoma Sky, 2M context; revealed as an early test version of Grok 4 Fast.
Cloaked 2M-context model on OpenRouter; revealed as an early test version of Grok 4 Fast.
80B model with 3B active on a new hybrid-attention architecture, in Instruct and Thinking versions.
A 1B open model trained from scratch with differential privacy, with weights on Hugging Face and Kaggle.
Update to V3.1 with fewer Chinese-English mix-ups and stronger code and search agents.
Omni model that takes text, images, audio and video and answers in text and speech, with an audio captioner.
Open-weights reasoning model for logic, math, code and agent tasks.
Vision-language flagship with 235B parameters, 22B active, in Instruct and Thinking versions.
Model with over 1 trillion parameters, pretrained on 36 trillion tokens, in the API and Qwen Chat.
Two robotics models that think before acting and call tools; ER 1.5 is available in the Gemini API.
Leads on coding, agent building and computer use, and is the most aligned Claude model to date.
Experimental open model with DeepSeek Sparse Attention; API prices cut by more than half.
Video generation model with synchronized dialogue and sound effects.
Open model update with a 200K-token context window, up from 128K, and stronger coding and reasoning.
A specialized model built on Gemini 2.5 Pro that powers agents interacting with user interfaces, in API preview.
A small model with coding performance similar to Sonnet 4 at one-third the cost and over twice the speed.
A 27B Gemma-based single-cell model, built with Yale, predicted a cancer drug combination confirmed in lab tests.
Veo 3.1 adds richer audio, more narrative control and better realism, with audio across Flow features.
Cloaked small reasoning vision model on OpenRouter; revealed as NVIDIA Nemotron Nano 2 VL.
Open agent-first model for coding, tool use and deep search, at 8% of Claude Sonnet's price and twice its speed.
Open 12B vision-language model with a hybrid Mamba-Transformer design, for document intelligence and video.
Open-weight reasoning models that classify content against a developer-provided safety policy.
Open-weights omni-modal model that understands text, images, video and speech, and speaks in real time.
Open-source thinking model that reasons step by step while using tools, with native INT4 inference.
Cloaked 256K-context model on OpenRouter; revealed as an early GPT-5.1 snapshot.
Upgraded GPT-5 models in ChatGPT with new tone and style controls, rolling out to paid users.
GPT-5.1 reaches the API with adaptive reasoning, extended prompt caching, and apply_patch and shell tools.
Gemini-powered agent that follows instructions, reasons about goals and self-improves in 3D game worlds.
Non-reasoning sibling of Sherlock Think; revealed as Grok 4.1 Fast with reasoning disabled.
Cloaked 1.84M-context reasoning model on OpenRouter; revealed as an early Grok 4.1 Fast.
AI weather model generating hundreds of forecast scenarios in under a minute, with data in Earth Engine.
Google's most intelligent model, in preview via the Gemini API and Vertex AI, with stronger agentic coding.
An agentic coding model for Codex built for long-running, project-scale work.
Image generation and editing model built on Gemini 3 Pro, with legible multilingual text and up to 4K output.
Open mixture-of-experts (MoE) model with 702B total and about 36B active parameters, natively trained on Russian, under the MIT license.
New flagship model with state-of-the-art coding and agentic performance at lower pricing.
Cloaked multimodal 256K-context model on OpenRouter; revealed as an early Mistral Large 3.
Open reasoning-first models built for agents, V3.2 and V3.2-Speciale.
Open Mistral Large 3, a 675B mixture-of-experts (MoE) model with 41B active, and Ministral 3 in 3B, 8B and 14B; Apache 2.0.
Open multimodal models, 106B GLM-4.6V and 9B GLM-4.6V-Flash, with native function calling and 128K context.
Open-weights 123B dense coding model for code agents, with a 256K context window, released with the 24B Devstral Small 2 and the Mistral Vibe CLI.
Frontier model for professional work, improving reasoning, long context, coding and vision, in ChatGPT and API.
Open hybrid mixture-of-experts (MoE) family; Nano (30B, 3B active) available now, Super and Ultra to follow.
A faster ChatGPT Images experience, with GPT-Image-1.5 available in the API.
Fast, lower-cost Gemini 3 model that surpasses 2.5 Pro on many benchmarks, at under a quarter the cost of 3 Pro.
Coding model with long-horizon reasoning, large-scale code changes and stronger cybersecurity skills.
Gemma 3 270M fine-tuned for function calling, a base for local agents that turn language into API actions.
Open encoder-decoder models based on Gemma 3, now multimodal with 128K context, in sizes up to 4B-4B.
Open model focused on agentic coding, scoring 73.8% on SWE-bench and 41% on Terminal Bench 2.0.
Open model update with stronger coding across languages such as Rust, Java, Go and C++, and in office tasks.
Open MedGemma 1.5 4B adds CT, MRI and histopathology support; new open MedASR model transcribes medical speech.
Open translation models built on Gemma 3 in 4B, 12B and 27B sizes, covering 55 languages.
Open-weights upgrade of LongCat-Flash-Thinking, stronger at agentic search and agentic tool use.
Flagship reasoning model that calls search, memory and a code interpreter on its own; in Qwen Chat and API.
Open visual agentic model trained on 15T tokens, with an agent swarm for parallel tasks.
Model for coding agents and local use, built on Qwen3-Next-80B-A3B; over 70% on SWE-Bench Verified.
Upgrade to the smartest Claude model, leading on agentic coding, computer use, tool use, search and finance.
A Codex-native agent model pairing frontier coding performance with general reasoning.
Cloaked coding and agentic model on OpenRouter; revealed as an early testing version of GLM-5.
Cloaked reasoning model built for speed on OpenRouter, 128K context; its lab is not revealed.
Lightweight 68.5B MoE model, 2.9B to 4.5B active, with over 30B parameters in N-gram embeddings.
Open model for coding, agentic tool use, search and office work, scoring 80.2% on SWE-Bench Verified.
Open model under MIT with 744B total and 40B active parameters, using DeepSeek Sparse Attention.
A real-time coding model with 15x faster generation, in research preview for ChatGPT Pro.
Upgraded Deep Think reasoning mode for Google AI Ultra subscribers, with early API access for select users.
Native vision-language model with 397B parameters, 17B active, supporting 201 languages and dialects.
Full Sonnet upgrade across coding, computer use, long reasoning, agent planning, knowledge work and design.
Music model that makes 30-second tracks with lyrics from text or photos, in beta in the Gemini app.
Upgraded reasoning model in preview across Gemini API, Vertex AI, Gemini app and NotebookLM; ARC-AGI-2 77.1%.
Image model with Nano Banana Pro's world knowledge and quality at Flash speed, in Gemini, Search and Flow.
GPT-5.3 Instant targets smoother, more useful everyday conversations in ChatGPT.
Fastest, most cost-efficient Gemini 3 series model, in preview in the Gemini API and Vertex AI.
Frontier model for professional work with stronger coding, computer use, tool search and 1M-token context.
Google's first natively multimodal embedding model: text, images, video, audio and documents in one space.
Open 120B hybrid mixture-of-experts (MoE) model, 12B active, with a 1M-token context window for agents.
Cloaked omni-modal model taking text, image, audio and video; revealed as Xiaomi MiMo-V2-Omni.
Cloaked 1T-parameter, 1M-context agentic model on OpenRouter; revealed as Xiaomi MiMo-V2-Pro.
Open-source code agent for the Lean 4 proof assistant, with 6B active parameters and weights under Apache 2.0.
Open 119B mixture-of-experts (MoE) model, 6B active, uniting reasoning, image input and agentic coding; Apache 2.0.
Smaller, faster GPT-5.4 versions for coding, tool use and high-volume API and sub-agent workloads.
Model that helped run its own reinforcement learning experiments, scoring 56.22% on SWE-Pro.
Google's highest-quality audio model, with lower latency, in the Live API, Gemini Live and Search Live.
Omni model in Plus, Flash and Light sizes for text, image, audio and video input, with speech in 36 languages.
Open models in four sizes under Apache 2.0, built for reasoning and agentic workflows, with function calling.
Hosted model with a 1M-token context window by default and stronger agentic coding, via API.
Native multimodal model that takes images and speech as discrete tokens; model and tokenizer open-sourced.
A general-purpose model strikingly capable at security work, used in Project Glasswing to secure key software.
Open model under MIT for agentic engineering, built to stay effective on long-horizon coding tasks.
Cloaked 100B-parameter text model, 256K context; revealed as inclusionAI's Ling-2.6-flash.
Trusted Access for Cyber expands, giving vetted security defenders a cyber-tuned GPT-5.4.
Upgraded robotics reasoning model with better spatial understanding, in the Gemini API and AI Studio.
Mixture-of-experts (MoE) model with 35B parameters, 3B active, for agentic coding; 73.4% on SWE-bench Verified.
Generally available successor to Opus 4.6, with notable gains on the hardest software engineering tasks.
A reasoning model for life sciences: drug discovery, genomics analysis and protein reasoning.
Preview of the next proprietary Max model, with stronger agentic coding than Qwen3.6-Plus, in Qwen Studio.
Open-source model built for long-horizon coding and agent swarms.
An open-weight model that detects and redacts personally identifiable information in text.
A model built for complex tasks like coding, research and data analysis across tools.
Open V4-Pro (1.6T total, 49B active parameters) and V4-Flash models, with 1M-token context by default.
Open 30B mixture-of-experts (MoE) model, 3B active, taking text, image, audio and video input for agents.
Cloaked agentic model on OpenRouter with 1M context; revealed as Meituan's LongCat-2.0.
ChatGPT's default model updates, with fewer hallucinations and improved personalization controls.
Trusted Access for Cyber expands to GPT-5.5 and GPT-5.5-Cyber for verified defenders.
New realtime API voice models that reason, translate and transcribe speech.
First Gemini 3.5 model, Google's strongest for agents and coding, in the Gemini app, AI Mode and the API.
First Gemini Omni model: makes video from any mix of image, audio, video and text, and edits it by chat.
Proprietary model for agent work: coding, office workflows and autonomous runs of over 1,000 tool calls.
Open-weights 128B dense flagship model merging instruction-following, reasoning and coding, with a 256k context window, under a modified MIT license.
Stronger coding, agentic and professional work, with more consistency on long-running tasks.
Open-weight model for coding and agents, with sparse attention, 1M-token context and native multimodality.
Multimodal agent model that reads screens, operates GUIs and writes code from images, via API.
Encoder-free multimodal open model with native audio input that runs locally on laptops with 16GB of memory.
Open 550B mixture-of-experts (MoE) model, 55B active, for long-running agents; Nemotron moves to OpenMDW-1.1.
Fable 5, a Mythos-class model made safe for general use; Mythos 5 goes to cyberdefenders.
Experimental open 26B MoE text diffusion model under Apache 2.0, with up to 4x faster generation on GPUs.
Open model under MIT for long-horizon tasks, with a 1M-token context window and stronger coding.
Language world model that simulates agent environments across seven domains, released with AgentWorldBench.
Preview of a next-generation model stronger in coding, science and cybersecurity.
1.6T-parameter MoE model, ~48B active, with 1M context, trained and served on AI ASIC superpods.
The most agentic Sonnet yet, aimed at coding and everyday professional work.
Open mixture-of-experts (MoE) coding model with 33B total and 3B active parameters, built for agentic coding on a local machine, under the OpenMDW-1.1 license.
Open Lean 4 proof model, 119B total and 6B active, under Apache 2.0; solves 587 of 672 PutnamBench problems.
A new generation of voice models for natural conversation, now powering ChatGPT Voice.
GPT-5.6 family reaches general availability: flagship Sol, balanced Terra and cost-efficient Luna.
The lab's first open-weights model: a multimodal mixture-of-experts (MoE) model with 975B total and 41B active parameters and up to 1M tokens of context.
Open model with 2.8T parameters, the first open model at that scale, with native vision and a 1M-token context window.
A lightweight model for finding and patching vulnerabilities, piloted with governments and trusted partners.
3.6 Flash improves coding and knowledge work with 17% fewer output tokens; 3.5 Flash-Lite is the fastest 3.5.
A step up for the Opus tier on long-running agents, coding and professional work.
Music model with better musicality, lyrics and vocals, plus tempo and duration control, in Google Flow Music.
Three robotics models add whole-body humanoid control, finer dexterity and multi-robot teamwork.
2.4T-parameter model with 95B active, the first Qwen Max-class model to get open weights.
Improved GPT-5.6 Sol in ChatGPT; free users get unlimited everyday chats with GPT-5.6 Luna.
Cybersecurity-specific model via Daybreak Red for authorized vulnerability research and testing.
Open 30B mixture-of-experts (MoE) model for agentic workloads, released with the NeMo Switchyard routing library.
Flash model for coding and agents, with an introductory price of $0.75/1M input and $3.75/1M output tokens.
V4-Pro reaches general availability with agent upgrades, adjustable reasoning effort and Responses API support.
Coding model post-trained from the GLM-5.2 base, state of the art on CyberGym; weights to follow in two weeks.
Cloaked reasoning model on OpenRouter for coding and agentic work, 1M context; revealed as Z.ai's GLM-5.3-Flash.
Experimental multimodal V4-Flash model that adds image input for agents, matching V4-Flash on text.
Preview of the Qwen4 architecture: 125B mixture-of-experts (MoE) model with 6B active, plus 51B n-gram embeddings.
Natively multimodal open model with 320B total and 18B active parameters, at a tenth of GLM-5.2's price.
Adds scene extension to 40 seconds, first and last frame control, 360p drafts and 4K upscaling.
One model with two safeguard levels: Fable 5.1 generally available, Mythos 5.1 only via trusted access programs.
3.8 Flash improves coding and reasoning at 3.7's price; 3.8 Flash Cyber goes to trusted defenders via Fairwind.
Refresh of Qwen3.8-Max with post-training for coding and workplace tasks, available via API on QwenCloud and in QwenWork.
OpenAI's most intelligent model yet, state of the art in computer use, coding, cybersecurity and science.
Hourly global forecasts at up to 5 km resolution, trained on live satellite data, in Search, Gemini and Maps.
Open 552B MoE model with a new causal encoder-decoder architecture and native vision; DeepSeek phases out V4-Pro.
Full-duplex voice conversations in the API, with custom voices and telephony support.
Two live voice models for conversation; the Extended Thinking one reasons while speaking, in the Gemini API.
Cloaked multimodal model on OpenRouter for research, coding and agentic work; revealed as Unbiased's Pareto.
Omni model with a 1M-token context for audio and video agent tasks, such as editing and live conversation.
Leads in agentic coding and knowledge work, and costs 40% less to run than Opus 5 on typical workloads.
Two GPT-6 models with different balances of capability and cost for everyday work.
Cloaked fast coding model on OpenRouter with native multimodal input; revealed as MiniMax M3.1 Flash.
Clear upgrade over Sonnet 5: 30%+ faster and up to 30% cheaper for most work.
Near-Astra coding and computer use at one-fifth of Astra's standard API token prices.
Frontier model for coding, knowledge work and cyber defense, rolling out first to trusted cyber defenders.
1T-parameter multimodal model with 52B active; the API preview is out and weights are promised by month end.
Fastest small Claude model, built for high-volume work like summarization, subagents and browser use.
Gemini 4 Argon reaches developers, enterprises and AI Pro and Ultra users in the API, Antigravity and app.
Open 120B multimodal model for always-on agents, with the Bolt 74B-A9B edge model; a 4GB Bolt E4B follows.
Open update of V4.1-Flash, trained with self-feedback RL for end-to-end project development, with shorter outputs.
Flash model for agents, coding and computer use, nearly three times faster at 70% lower usage cost; weights followed.
Open 4GB small model built on Gemma 4 E4B for conversational agents on RTX, Jetson and DGX Spark devices.
Post-trained Kimi K3 and Moonshot's most capable 3T-class open-weight model, with a 1M-token context window and a faster Highspeed variant.
A fast, efficient model for computer use and writing, with API prices 50% below GPT-5.6 Terra and GPT-6.1 Sol.
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