The Inference Report
The lab announcements today reveal a clear bifurcation in strategy: consumer-facing applications racing ahead while infrastructure players scramble to establish credibility through partnerships and benchmarks. OpenAI's Gradient Labs is shipping concrete product, AI account managers in banking using GPT-4.1 and purpose-built smaller models for latency-sensitive workflows, the kind of deployment that generates revenue and defensible customer relationships. GitHub's /fleet feature for parallel agent dispatch and Hugging Face's Holo3 announcement signal the same momentum: builders are moving past single-agent orchestration into systems that distribute work across multiple models and processes. IBM and AMD, by contrast, are playing a different game entirely. IBM's announcements cluster around permission structures: FedRAMP authorizations for watsonx via AWS partnership, a decade-long algorithmic research initiative with ETH Zurich, and infrastructure collaboration with Arm. These are not product announcements but rather plays to establish IBM as a trusted intermediary in regulated environments and foundational research. AMD's detailed MLPerf submissions and reproducibility guides serve a narrower but crucial function, they provide the technical proof points needed to compete in infrastructure benchmarking, where perception of performance parity matters as much as actual performance. The pattern is stark: companies shipping to end users are announcing features and deployments; companies selling to enterprises and building infrastructure are announcing partnerships, compliance achievements, and benchmark credentials. The former group moves fast and captures value through direct customer relationships. The latter moves through institutional channels where trust, regulatory alignment, and measurable technical standing still determine purchasing decisions.
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 4.5VisionText200K
- Anthropic: Claude Opus 4VisionTextFiles200K
- Anthropic: Claude Opus 4.1VisionTextFiles200K
- Anthropic: Claude Opus 4.5FilesVisionText200K
- Anthropic: Claude Opus 4.6TextVision1M
- Anthropic: Claude Sonnet 4VisionTextFiles200K
- Anthropic: Claude Sonnet 4.5TextVisionFiles1M
- Anthropic: Claude Sonnet 4.6TextVision1M
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 05-06TextVisionFilesAudioVideo1M
- Google: Gemini 2.5 Pro Preview 06-05FilesVisionTextAudio1M
- Google: Gemini 3 Flash PreviewTextVisionFilesAudioVideo1M
- Google: Gemini 3.1 Flash Lite PreviewTextVisionVideoFilesAudio1M
- Google: Gemini 3.1 Pro PreviewAudioFilesVisionTextVideo1M
- Google: Gemini 3.1 Pro Preview Custom ToolsTextAudioVisionVideoFiles1M
- 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)VisionText66K
- Google: Nano Banana Pro (Gemini 3 Pro Image Preview)VisionText66K
- Google: Gemma 3n 4BText33K
- Google: Gemma 4 31BVisionTextVideo262K
MetaNone
- Meta: Llama 4 MaverickTextVision1M
- Meta: Llama 4 ScoutTextVision328K
- Meta: Llama Guard 4 12BVisionText164K
OpenAI- OpenAI: GPT AudioTextAudio128K
- OpenAI: GPT Audio MiniTextAudio128K
- OpenAI: GPT-4.1VisionTextFiles1M
- OpenAI: GPT-4.1 MiniVisionTextFiles1M
- OpenAI: GPT-4.1 NanoVisionTextFiles1M
- OpenAI: GPT-4o AudioAudioText128K
- 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 MiniFilesVisionText400K
- OpenAI: GPT-5.4 NanoFilesVisionText400K
- OpenAI: GPT-5.4 ProTextVisionFiles1M
- OpenAI: o3VisionTextFiles200K
- OpenAI: o3 Deep ResearchVisionTextFiles200K
- OpenAI: o3 ProTextFilesVision200K
- OpenAI: o4 MiniVisionTextFiles200K
- OpenAI: o4 Mini Deep ResearchFilesVisionText200K
- OpenAI: o4 Mini HighVisionTextFiles200K
- OpenAI: gpt-oss-120bText131K
- OpenAI: gpt-oss-20bText131K
- OpenAI: gpt-oss-safeguard-20bText131K
xAI- xAI: Grok 3Text131K
- xAI: Grok 3 BetaText131K
- xAI: Grok 3 MiniText131K
- xAI: Grok 3 Mini BetaText131K
- xAI: Grok 4VisionTextFiles256K
- xAI: Grok 4 FastTextVisionFiles2M
- xAI: Grok 4.1 FastTextVisionFiles2M
- xAI: Grok 4.20TextVision2M
- xAI: Grok 4.20 Multi-AgentTextVisionFiles2M
- xAI: Grok Code Fast 1Text256K
None
Mistral AI- Mistral: Codestral 2508Text256K
- Mistral: Devstral MediumText131K
- Mistral: Mistral Large 3 2512TextVision262K
- Mistral: Mistral Medium 3TextVision131K
- Mistral: Mistral Medium 3.1TextVision131K
- Mistral: Mistral Small CreativeText33K
- Mistral: Devstral 2 2512Text262K
- Mistral: Devstral Small 1.1Text131K
- 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 2507TextAudio32K
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-FlashTextVisionVideo1M
- Qwen: Qwen2.5 Coder 7B InstructText33K
- Qwen: Qwen3 14BText41K
- Qwen: Qwen3 235B A22BText131K
- Qwen: Qwen3 235B A22B Instruct 2507Text262K
- Qwen: Qwen3 235B A22B Thinking 2507Text131K
- Qwen: Qwen3 30B A3BText41K
- Qwen: Qwen3 30B A3B Instruct 2507Text262K
- Qwen: Qwen3 30B A3B Thinking 2507Text131K
- Qwen: Qwen3 32BText41K
- Qwen: Qwen3 8BText41K
- Qwen: Qwen3 Coder 30B A3B InstructText160K
- Qwen: Qwen3 Coder 480B A35BText262K
- Qwen: Qwen3 Coder NextText262K
- Qwen: Qwen3 Next 80B A3B InstructText262K
- Qwen: Qwen3 Next 80B A3B ThinkingText131K
- Qwen: Qwen3 VL 235B A22B InstructTextVision262K
- Qwen: Qwen3 VL 235B A22B ThinkingTextVision131K
- Qwen: Qwen3 VL 30B A3B InstructTextVision131K
- Qwen: Qwen3 VL 30B A3B ThinkingTextVision131K
- Qwen: Qwen3 VL 32B InstructTextVision131K
- Qwen: Qwen3 VL 8B InstructVisionText131K
- Qwen: Qwen3 VL 8B ThinkingVisionText131K
- Qwen: Qwen3.5 397B A17BTextVisionVideo262K
- Qwen: Qwen3.5-122B-A10BTextVisionVideo262K
- Qwen: Qwen3.5-27BTextVisionVideo262K
- Qwen: Qwen3.5-35B-A3BTextVisionVideo262K
- Qwen: Qwen3.5-9BTextVisionVideo256K
ByteDance- Seed: Seed 1.6VisionTextVideo262K
- Seed: Seed 1.6 FlashVisionTextVideo262K
- Seed: Seed-2.0-LiteTextVisionVideo262K
- Seed: Seed-2.0-MiniTextVisionVideo262K
None
DeepSeekNone
- DeepSeek: DeepSeek V3.1Text33K
- DeepSeek: DeepSeek V3.1 TerminusText164K
- DeepSeek: DeepSeek V3.2Text164K
- DeepSeek: DeepSeek V3.2 ExpText164K
- DeepSeek: DeepSeek V3.2 SpecialeText164K
- DeepSeek: R1 0528Text164K
MiniMax- MiniMax: MiniMax M1Text1M
- MiniMax: MiniMax M2-herText66K
- MiniMax: MiniMax M2Text197K
- MiniMax: MiniMax M2.1Text197K
- MiniMax: MiniMax M2.5Text197K
- MiniMax: MiniMax M2.7Text205K