The Inference Report
The lab announcements today pivot decisively toward agentic systems deployed in enterprise workflows, with the economics of inference, power consumption, token cost, and real-time performance, emerging as the central competitive battleground. OpenAI is positioning Codex as the connective tissue for agent orchestration across engineering, tax compliance, and open-source development, signaling that the near-term value capture lies not in foundation models themselves but in the infrastructure that coordinates multiple agents across fragmented enterprise systems. NVIDIA's framing of AI factories as token factories converting power into intelligence is the most candid articulation of this shift: as always-on autonomous agents become the deployment model, the unit economics of inference, cost per token, performance per watt, displace traditional model capability metrics as the actual competitive moat. Google and AMD are both publishing deep technical work on inference optimization and privacy-preserving aggregation, suggesting they recognize the infrastructure play is where margin lives. Hugging Face's ITBench benchmark revealing frontier models scoring below 50 percent on agentic enterprise IT tasks is the honest counterweight here: capability benchmarks on static tasks have decoupled from actual agent performance in production workflows, which means labs are racing to solve a different problem than the one they've been publicly measured against. Anthropic's work on coding agents for social science research and Hugging Face's local-first robotics deployment indicate the market is already fragmenting by use case and deployment constraint. What's conspicuously absent is any lab claiming general superiority in agentic reasoning or agent coordination, the announcements are instead about embedding agents into specific workflows where the friction is highest and the switching cost is real.
Sloane Duvall
A curated reference of models from major AI labs, with open/closed weight status, input modalities, and context window size. American labs tend towards closed weights models and Chinese labs tend toward open weights models.
Amazon- Amazon: Nova 2 LiteTextVisionVideoFiles1M
- Amazon: Nova Premier 1.0TextVision1M
None
Anthropic- Anthropic: Claude Haiku 4.5TextVisionFiles200K
- Anthropic: Claude Opus 4.1VisionTextFiles200K
- Anthropic: Claude Opus 4.5FilesVisionText200K
- Anthropic: Claude Opus 4.6TextVisionFiles1M
- Anthropic: Claude Opus 4.6 (Fast)TextVisionFiles1M
- Anthropic: Claude Opus 4.7TextVisionFiles1M
- Anthropic: Claude Opus 4.7 (Fast)TextVisionFiles1M
- Anthropic: Claude Opus 4.8TextVisionFiles1M
- Anthropic: Claude Opus 4.8 (Fast)TextVisionFiles1M
- Anthropic: Claude Sonnet 4.5TextVisionFiles1M
- Anthropic: Claude Sonnet 4.6TextVisionFiles1M
None
Google DeepMind- Google: Gemini 2.5 FlashFilesVisionTextAudioVideo1M
- Google: Gemini 2.5 Flash LiteTextVisionFilesAudioVideo1M
- Google: Gemini 2.5 Flash Lite Preview 09-2025TextVisionFilesAudioVideo1M
- Google: Gemini 2.5 ProTextVisionFilesAudioVideo1M
- Google: Gemini 2.5 Pro Preview 06-05FilesVisionTextAudio1M
- Google: Gemini 3 Flash PreviewTextVisionFilesAudioVideo1M
- Google: Gemini 3.1 Flash LiteTextVisionVideoFilesAudio1M
- Google: Gemini 3.1 Flash Lite PreviewTextVisionVideoFilesAudio1M
- Google: Gemini 3.1 Pro PreviewAudioFilesVisionTextVideo1M
- Google: Gemini 3.1 Pro Preview Custom ToolsTextAudioVisionVideoFiles1M
- Google: Gemini 3.5 FlashTextVisionVideoFilesAudio1M
- Google: Lyria 3 Clip PreviewTextVision1M
- Google: Lyria 3 Pro PreviewTextVision1M
- Google: Nano Banana (Gemini 2.5 Flash Image)VisionText33K
- Google: Nano Banana 2 (Gemini 3.1 Flash Image Preview)VisionText131K
- Google: Nano Banana Pro (Gemini 3 Pro Image Preview)VisionText66K
- Google: Gemma 4 26B A4B VisionTextVideo262K
- Google: Gemma 4 31BVisionTextVideo262K
MicrosoftNone
- Microsoft: Phi 4 Mini InstructText131K
OpenAI- OpenAI: GPT AudioTextAudio128K
- OpenAI: GPT Audio MiniTextAudio128K
- OpenAI: GPT Chat LatestTextVisionFiles400K
- OpenAI: GPT-5TextVisionFiles400K
- OpenAI: GPT-5 ChatFilesVisionText128K
- OpenAI: GPT-5 CodexTextVision400K
- OpenAI: GPT-5 ImageVisionTextFiles400K
- OpenAI: GPT-5 Image MiniFilesVisionText400K
- OpenAI: GPT-5 MiniTextVisionFiles400K
- OpenAI: GPT-5 NanoTextVisionFiles400K
- OpenAI: GPT-5 ProVisionTextFiles400K
- OpenAI: GPT-5.1VisionTextFiles400K
- OpenAI: GPT-5.1 ChatFilesVisionText128K
- OpenAI: GPT-5.1-CodexTextVision400K
- OpenAI: GPT-5.1-Codex-MaxTextVision400K
- OpenAI: GPT-5.1-Codex-MiniVisionText400K
- OpenAI: GPT-5.2FilesVisionText400K
- OpenAI: GPT-5.2 ChatFilesVisionText128K
- OpenAI: GPT-5.2 ProVisionTextFiles400K
- OpenAI: GPT-5.2-CodexTextVision400K
- OpenAI: GPT-5.3 ChatTextVisionFiles128K
- OpenAI: GPT-5.3-CodexTextVisionFiles400K
- OpenAI: GPT-5.4TextVisionFiles1M
- OpenAI: GPT-5.4 Image 2VisionTextFiles272K
- OpenAI: GPT-5.4 MiniFilesVisionText400K
- OpenAI: GPT-5.4 NanoFilesVisionText400K
- OpenAI: GPT-5.4 ProTextVisionFiles1M
- OpenAI: GPT-5.5FilesVisionText1M
- OpenAI: GPT-5.5 ProFilesVisionText1M
- OpenAI: o3 Deep ResearchVisionTextFiles200K
- OpenAI: o3 ProTextFilesVision200K
- OpenAI: o4 Mini Deep ResearchFilesVisionText200K
- OpenAI: gpt-oss-120bText131K
- OpenAI: gpt-oss-20bText131K
- OpenAI: gpt-oss-safeguard-20bText131K
xAI- xAI: Grok 4.20TextVisionFiles2M
- xAI: Grok 4.20 Multi-AgentTextVisionFiles2M
- xAI: Grok 4.3TextVision1M
- xAI: Grok Build 0.1TextVision256K
None
Mistral AI- Mistral: Codestral 2508TextFiles256K
- Mistral: Mistral Large 3 2512TextVisionFiles262K
- Mistral: Mistral Medium 3.1TextVisionFiles131K
- Mistral: Mistral Medium 3.5TextVisionFiles262K
- Mistral: Devstral 2 2512TextFiles262K
- Mistral: Ministral 3 14B 2512TextVision262K
- Mistral: Ministral 3 3B 2512TextVision131K
- Mistral: Ministral 3 8B 2512TextVision262K
- Mistral: Mistral Small 3.2 24BVisionText128K
- Mistral: Mistral Small 4TextVision262K
- Mistral: Voxtral Small 24B 2507TextAudioFiles32K
AI21 LabsNone
- AI21: Jamba Large 1.7Text256K
Alibaba (Qwen)- Qwen: Qwen Plus 0728Text1M
- Qwen: Qwen Plus 0728 (thinking)Text1M
- Qwen: Qwen3 Coder FlashText1M
- Qwen: Qwen3 Coder PlusText1M
- Qwen: Qwen3 MaxText262K
- Qwen: Qwen3 Max ThinkingText262K
- Qwen: Qwen3.5 Plus 2026-02-15TextVisionVideo1M
- Qwen: Qwen3.5 Plus 2026-04-20TextVisionVideo1M
- Qwen: Qwen3.5-FlashTextVisionVideo1M
- Qwen: Qwen3.6 FlashTextVisionVideo1M
- Qwen: Qwen3.6 Max PreviewText262K
- Qwen: Qwen3.6 PlusTextVisionVideo1M
- Qwen: Qwen3.7 MaxText1M
- Qwen: Qwen3 235B A22B Instruct 2507Text262K
- Qwen: Qwen3 235B A22B Thinking 2507Text262K
- Qwen: Qwen3 30B A3B Instruct 2507Text131K
- Qwen: Qwen3 30B A3B Thinking 2507Text131K
- Qwen: Qwen3 Coder 30B A3B InstructText160K
- Qwen: Qwen3 Coder 480B A35BText1M
- Qwen: Qwen3 Coder NextText262K
- Qwen: Qwen3 Next 80B A3B InstructText262K
- Qwen: Qwen3 Next 80B A3B ThinkingText262K
- Qwen: Qwen3 VL 235B A22B InstructTextVision262K
- Qwen: Qwen3 VL 235B A22B ThinkingTextVision131K
- Qwen: Qwen3 VL 30B A3B InstructTextVision262K
- Qwen: Qwen3 VL 30B A3B ThinkingTextVision131K
- Qwen: Qwen3 VL 32B InstructTextVision262K
- Qwen: Qwen3 VL 8B InstructVisionText256K
- Qwen: Qwen3 VL 8B ThinkingVisionText256K
- Qwen: Qwen3.5 397B A17BTextVisionVideo262K
- Qwen: Qwen3.5-122B-A10BTextVisionVideo262K
- Qwen: Qwen3.5-27BTextVisionVideo262K
- Qwen: Qwen3.5-35B-A3BTextVisionVideo262K
- Qwen: Qwen3.5-9BTextVisionVideo262K
- Qwen: Qwen3.6 27BTextVisionVideo262K
- Qwen: Qwen3.6 35B A3BTextVisionVideo262K
ByteDance- Seed: Seed 1.6VisionTextVideo262K
- Seed: Seed 1.6 FlashVisionTextVideo262K
- Seed: Seed-2.0-LiteTextVisionVideo262K
- Seed: Seed-2.0-MiniTextVisionVideo262K
None
DeepSeekNone
- DeepSeek: DeepSeek V3.1Text164K
- DeepSeek: DeepSeek V3.1 TerminusText164K
- DeepSeek: DeepSeek V3.2Text131K
- DeepSeek: DeepSeek V3.2 ExpText164K
- DeepSeek: DeepSeek V4 FlashText1M
- DeepSeek: DeepSeek V4 ProText1M
MiniMax- MiniMax: MiniMax M1Text1M
- MiniMax: MiniMax M2-herText66K
- MiniMax: MiniMax M3TextVisionVideo1M
- MiniMax: MiniMax M2Text205K
- MiniMax: MiniMax M2.1Text205K
- MiniMax: MiniMax M2.5Text205K
- MiniMax: MiniMax M2.7Text205K