The Inference Report

June 18, 2026
AI Labs — News

The lab announcements today reveal a decisive shift in where AI builders are placing their bets. OpenAI and Mistral are both doubling down on vertical applications, OpenAI in drug discovery and life sciences benchmarking, Mistral in physics and engineering acceleration. This is not accidental clustering. The labs that control the largest models are moving downstream into domains where the output has measurable, defensible business value and regulatory moats. A chemist that improves a reaction or a physics engine that accelerates engineering doesn't need to defend its existence in a policy hearing. AWS and GitHub, meanwhile, are optimizing the developer experience around agents and token efficiency, making the infrastructure layer cheaper and faster so builders can extract more value per dollar spent. The message is clear: raw model capability is table stakes. The real competition now is over who owns the domain-specific applications and who controls the cost structure of deployment.

Hugging Face's announcements across robotics, motion forecasting, and agentic discovery signal a different calculus. Rather than building vertical applications themselves, they are positioning as the infrastructure layer for others to do so. This is a rational play from a company without the capital to compete with OpenAI or Mistral in frontier model training, but it also reveals market segmentation: the labs with the most compute are capturing high-value verticals, while open infrastructure players are betting on breadth and developer lock-in through tooling. Anthropic's expansion into Seoul and focus on red-teaming LLM security vulnerabilities suggests a third strategy, geographic diversification and positioning safety research as a defensible moat in markets where regulation is tightening. None of these moves are primarily about model scale anymore. They are about where the revenue and defensibility actually live.

Sloane Duvall

AI Labs — Models

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.

usAmazon
Closed Weights
  • Amazon: Nova 2 Lite
    TextVisionVideoFiles1M
  • Amazon: Nova Premier 1.0
    TextVision1M
Open Weights

None

usAnthropic
Closed Weights
  • Anthropic: Claude Fable 5
    TextVisionFiles1M
  • Anthropic: Claude Haiku 4.5
    TextVisionFiles200K
  • Anthropic: Claude Opus 4.1
    VisionTextFiles200K
  • Anthropic: Claude Opus 4.5
    FilesVisionText200K
  • Anthropic: Claude Opus 4.6
    TextVisionFiles1M
  • Anthropic: Claude Opus 4.6 (Fast)
    TextVisionFiles1M
  • Anthropic: Claude Opus 4.7
    TextVisionFiles1M
  • Anthropic: Claude Opus 4.7 (Fast)
    TextVisionFiles1M
  • Anthropic: Claude Opus 4.8
    TextVisionFiles1M
  • Anthropic: Claude Opus 4.8 (Fast)
    TextVisionFiles1M
  • Anthropic: Claude Sonnet 4.5
    TextVisionFiles1M
  • Anthropic: Claude Sonnet 4.6
    TextVisionFiles1M
Open Weights

None

usGoogle DeepMind
Closed Weights
  • Google: Gemini 2.5 Flash Lite
    TextVisionFilesAudioVideo1M
  • Google: Gemini 2.5 Flash Lite Preview 09-2025
    TextVisionFilesAudioVideo1M
  • Google: Gemini 3 Flash Preview
    TextVisionFilesAudioVideo1M
  • Google: Gemini 3.1 Flash Lite
    TextVisionVideoFilesAudio1M
  • Google: Gemini 3.1 Flash Lite Preview
    TextVisionVideoFilesAudio1M
  • Google: Gemini 3.1 Pro Preview
    AudioFilesVisionTextVideo1M
  • Google: Gemini 3.1 Pro Preview Custom Tools
    TextAudioVisionVideoFiles1M
  • Google: Gemini 3.5 Flash
    TextVisionVideoFilesAudio1M
  • Google: Lyria 3 Clip Preview
    TextVision1M
  • Google: Lyria 3 Pro Preview
    TextVision1M
  • 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)
    VisionText131K
Open Weights
  • Google: Gemma 4 26B A4B
    VisionTextVideo262K
  • Google: Gemma 4 31B
    VisionTextVideo262K
usMicrosoft
Closed Weights

None

Open Weights
  • Microsoft: Phi 4 Mini Instruct
    Text131K
usOpenAI
Closed Weights
  • OpenAI: GPT Audio
    TextAudio128K
  • OpenAI: GPT Audio Mini
    TextAudio128K
  • OpenAI: GPT Chat Latest
    TextVisionFiles400K
  • OpenAI: GPT-5
    TextVisionFiles400K
  • OpenAI: GPT-5 Chat
    FilesVisionText128K
  • OpenAI: GPT-5 Codex
    TextVision400K
  • OpenAI: GPT-5 Image
    VisionTextFiles400K
  • OpenAI: GPT-5 Image Mini
    FilesVisionText400K
  • OpenAI: GPT-5 Mini
    TextVisionFiles400K
  • OpenAI: GPT-5 Nano
    TextVisionFiles400K
  • OpenAI: GPT-5 Pro
    VisionTextFiles400K
  • OpenAI: GPT-5.1
    VisionTextFiles400K
  • OpenAI: GPT-5.1 Chat
    FilesVisionText128K
  • OpenAI: GPT-5.1-Codex
    TextVision400K
  • OpenAI: GPT-5.1-Codex-Max
    TextVision400K
  • OpenAI: GPT-5.1-Codex-Mini
    VisionText400K
  • OpenAI: GPT-5.2
    FilesVisionText400K
  • OpenAI: GPT-5.2 Chat
    FilesVisionText128K
  • OpenAI: GPT-5.2 Pro
    VisionTextFiles400K
  • OpenAI: GPT-5.2-Codex
    TextVision400K
  • OpenAI: GPT-5.3 Chat
    TextVisionFiles128K
  • OpenAI: GPT-5.3-Codex
    TextVisionFiles400K
  • OpenAI: GPT-5.4
    TextVisionFiles1M
  • OpenAI: GPT-5.4 Image 2
    VisionTextFiles272K
  • OpenAI: GPT-5.4 Mini
    FilesVisionText400K
  • OpenAI: GPT-5.4 Nano
    FilesVisionText400K
  • OpenAI: GPT-5.4 Pro
    TextVisionFiles1M
  • OpenAI: GPT-5.5
    FilesVisionText1M
  • OpenAI: GPT-5.5 Pro
    FilesVisionText1M
  • OpenAI: o3 Deep Research
    VisionTextFiles200K
  • OpenAI: o4 Mini Deep Research
    FilesVisionText200K
Open Weights
  • OpenAI: gpt-oss-120b
    Text131K
  • OpenAI: gpt-oss-20b
    Text131K
  • OpenAI: gpt-oss-safeguard-20b
    Text131K
usxAI
Closed Weights
  • xAI: Grok 4.20
    TextVisionFiles2M
  • xAI: Grok 4.20 Multi-Agent
    TextVisionFiles2M
  • xAI: Grok 4.3
    TextVision1M
  • xAI: Grok Build 0.1
    TextVision256K
Open Weights

None

frMistral AI
Closed Weights
  • Mistral: Codestral 2508
    TextFiles256K
  • Mistral: Mistral Large 3 2512
    TextVisionFiles262K
  • Mistral: Mistral Medium 3.1
    TextVisionFiles131K
  • Mistral: Mistral Medium 3.5
    TextVisionFiles262K
Open Weights
  • Mistral: Devstral 2 2512
    TextFiles262K
  • Mistral: Ministral 3 14B 2512
    TextVision262K
  • Mistral: Ministral 3 3B 2512
    TextVision131K
  • Mistral: Ministral 3 8B 2512
    TextVision262K
  • Mistral: Mistral Small 4
    TextVision262K
  • Mistral: Voxtral Small 24B 2507
    TextAudioFiles32K
ilAI21 Labs
Closed Weights

None

Open Weights
  • AI21: Jamba Large 1.7
    Text256K
cnAlibaba (Qwen)
Closed Weights
  • Qwen: Qwen Plus 0728
    Text1M
  • Qwen: Qwen Plus 0728 (thinking)
    Text1M
  • Qwen: Qwen3 Coder Flash
    Text1M
  • Qwen: Qwen3 Coder Plus
    Text1M
  • Qwen: Qwen3 Max
    Text262K
  • Qwen: Qwen3 Max Thinking
    Text262K
  • Qwen: Qwen3.5 Plus 2026-02-15
    TextVisionVideo1M
  • Qwen: Qwen3.5 Plus 2026-04-20
    TextVisionVideo1M
  • Qwen: Qwen3.5-Flash
    TextVisionVideo1M
  • Qwen: Qwen3.6 Flash
    TextVisionVideo1M
  • Qwen: Qwen3.6 Max Preview
    Text262K
  • Qwen: Qwen3.6 Plus
    TextVisionVideo1M
  • Qwen: Qwen3.7 Max
    Text1M
  • Qwen: Qwen3.7 Plus
    TextVision1M
Open Weights
  • Qwen: Qwen3 235B A22B Instruct 2507
    Text262K
  • Qwen: Qwen3 235B A22B Thinking 2507
    Text262K
  • Qwen: Qwen3 30B A3B Instruct 2507
    Text131K
  • Qwen: Qwen3 30B A3B Thinking 2507
    Text131K
  • Qwen: Qwen3 Coder 30B A3B Instruct
    Text160K
  • Qwen: Qwen3 Coder 480B A35B
    Text1M
  • Qwen: Qwen3 Coder Next
    Text262K
  • Qwen: Qwen3 Next 80B A3B Instruct
    Text262K
  • Qwen: Qwen3 Next 80B A3B Thinking
    Text262K
  • Qwen: Qwen3 VL 235B A22B Instruct
    TextVision262K
  • Qwen: Qwen3 VL 235B A22B Thinking
    TextVision131K
  • Qwen: Qwen3 VL 30B A3B Instruct
    TextVision262K
  • Qwen: Qwen3 VL 30B A3B Thinking
    TextVision131K
  • Qwen: Qwen3 VL 32B Instruct
    TextVision262K
  • Qwen: Qwen3 VL 8B Instruct
    VisionText256K
  • Qwen: Qwen3 VL 8B Thinking
    VisionText256K
  • Qwen: Qwen3.5 397B A17B
    TextVisionVideo256K
  • Qwen: Qwen3.5-122B-A10B
    TextVisionVideo262K
  • Qwen: Qwen3.5-27B
    TextVisionVideo262K
  • Qwen: Qwen3.5-35B-A3B
    TextVisionVideo262K
  • Qwen: Qwen3.5-9B
    TextVisionVideo256K
  • Qwen: Qwen3.6 27B
    TextVisionVideo262K
  • Qwen: Qwen3.6 35B A3B
    TextVisionVideo262K
cnByteDance
Closed Weights
  • Seed: Seed 1.6
    VisionTextVideo262K
  • Seed: Seed 1.6 Flash
    VisionTextVideo262K
  • Seed: Seed-2.0-Lite
    TextVisionVideo262K
  • Seed: Seed-2.0-Mini
    TextVisionVideo262K
Open Weights

None

cnDeepSeek
Closed Weights

None

Open Weights
  • DeepSeek: DeepSeek V3.1
    Text164K
  • DeepSeek: DeepSeek V3.1 Terminus
    Text164K
  • DeepSeek: DeepSeek V3.2
    Text131K
  • DeepSeek: DeepSeek V3.2 Exp
    Text164K
  • DeepSeek: DeepSeek V4 Flash
    Text1M
  • DeepSeek: DeepSeek V4 Pro
    Text1M
cnMiniMax
Closed Weights
  • MiniMax: MiniMax M2-her
    Text66K
Open Weights
  • MiniMax: MiniMax M2
    Text205K
  • MiniMax: MiniMax M2.1
    Text205K
  • MiniMax: MiniMax M2.5
    Text205K
  • MiniMax: MiniMax M2.7
    Text205K
  • MiniMax: MiniMax M3
    TextVisionVideo1M