The Inference Report
The lab announcements today reveal two competing visions of where AI deployment is heading, and the money is following both paths simultaneously. OpenAI is positioning itself as the standards-setter and scientific tool, releasing GPT-5 Pro case studies while simultaneously funding frameworks through the Appia Foundation, a move that looks like infrastructure capture dressed as cooperation. Meanwhile, the infrastructure layer is consolidating hard: NVIDIA controls 81 percent of the TOP500 supercomputers and is moving downstream into domain-specific toolkits like BioNeMo, AWS integration, and enterprise agent deployment, which signals a shift from selling raw compute to selling the full stack. AMD is competing on decoding efficiency with quantization tricks on the MI325X, and Hugging Face is pushing agentic applications with lightweight reference implementations, both moves that suggest the real margin pressure now sits in inference optimization rather than training. What's absent from today's announcements is equally telling: no major claims about frontier model capability, no new benchmarks that would shift the competitive ranking, and no announcements about scaling laws or training efficiency breakthroughs. Instead, the labs are focused on making existing models work in production, domain-specific applications, and operational tooling, which means the capability frontier has stabilized enough that the next phase is about who can build the most reliable, cost-efficient, and specialized systems on top of it. Anthropic's Claude Tag and Mistral's OCR 4 are tactical releases addressing specific use cases rather than strategic pivots. The pattern across all twelve announcements is that labs are no longer racing to prove capability; they are racing to lock in the infrastructure, tooling, and workflow integration that will determine who owns the enterprise deployment layer.
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 Fable 5TextVisionFiles1M
- 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 Flash LiteTextVisionFilesAudioVideo1M
- Google: Gemini 2.5 Flash Lite Preview 09-2025TextVisionFilesAudioVideo1M
- 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 2 (Gemini 3.1 Flash Image)VisionText131K
- Google: Nano Banana Pro (Gemini 3 Pro Image Preview)VisionText66K
- Google: Nano Banana Pro (Gemini 3 Pro Image)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: 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 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: Qwen3.7 PlusTextVision1M
- 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 A17BTextVisionVideo256K
- 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 M2-herText66K
- MiniMax: MiniMax M2Text205K
- MiniMax: MiniMax M2.1Text205K
- MiniMax: MiniMax M2.5Text205K
- MiniMax: MiniMax M2.7Text205K
- MiniMax: MiniMax M3TextVisionVideo1M