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The scoreboard of the three paid US labs and the seven Chinese labs that weigh most in traffic, and what each one logged in its own release notes: new models, pricing, deprecations and API features. The numbers come from real token traffic; the moves, from the lab’s own official page.

USChinaTimelineJSONRadar

In the week of Oct 12, 2026, the three paid US labs took 19.5% of tokens and 63.0% of estimated spend. Chinese labs took 68.9% of tokens and 35.8% of spend.

The three paid US labs

Tokens
19.5%
↓ 1.1 pp
Estimated spend
63.0%
↓ 8.3 pp
tokensestimated spend13 weeks; arrow vs. 4 weeks earlier

Anthropic, OpenAI and Google

Chinese labs

Tokens
68.9%
↑ 0.1 pp
Estimated spend
35.8%
↑ 8.3 pp
tokensestimated spend13 weeks; arrow vs. 4 weeks earlier

Every lab of Chinese origin in the data. The seven tracked here add up to 60.8% of tokens.

The three paid US labs

Anthropic

#4 by tokens · week of Oct 12, 2026
Tokens
7.9%
↑ 4.6 pp
Estimated spend
45.2%
↑ 20.8 pp
tokensestimated spend13 weeks; arrow vs. 4 weeks earlier
Most used: Claude Opus 5.5 (4.05% of tokens)
  • API

    Anthropic-operated Claude API arrives on Google Cloud

    Companies on Google Cloud can use the Claude API run by Anthropic itself, with access and billing handled by Google.

    Technical version

    Claude Models on Google Cloud (Anthropic managed): access is controlled by Google Cloud IAM and billing goes through Google Cloud Marketplace.

  • API

    Claude Opus 5.5 fast mode leaves research preview

    Fast mode for Claude Opus 5.5 is now open to everyone with no access request, and it gets a default rate limit.

    Technical version

    Requests to Claude Opus 5.5 no longer need the fast-mode-2026-02-01 beta header, and requests that still send it keep working. Fast mode for Claude Opus 5 and Claude Opus 4.8 stays in research preview.

  • Model

    Claude Haiku 5.5 arrives with a 1M token context window

    Anthropic launched Claude Haiku 5.5, which it calls its most capable model for high-volume, latency-sensitive work.

    Technical version

    claude-haiku-5-5 has a 1M token context window, up to 128k output tokens and adaptive thinking set by the effort parameter. Available on the Claude API, Amazon Bedrock, Google Cloud and Microsoft Foundry.

  • Pricing

    Claude Sonnet 5.5 cuts prompt cache reads to $0.10

    Reusing cached context on Claude Sonnet 5.5 got cheaper, and every other price stayed the same.

    Technical version

    Prompt cache reads drop from $0.20 to $0.10 per million tokens, 0.05x the base input price instead of 0.1x. Cache writes and other prices are unchanged.

  • Deprecation

    Claude Sonnet 4.5 leaves the API on November 30, 2026

    Anthropic announced that Claude Sonnet 4.5 will be retired and recommends moving to Claude Sonnet 5.5.

    Technical version

    claude-sonnet-4-5-20250929 is scheduled for retirement on the Claude API on November 30, 2026. The recommended migration is Claude Sonnet 5.5.

Tracked sources:Claude Platform release notes

Go deeper in The Big Three →

OpenAI

#5 by tokens · week of Oct 12, 2026
Tokens
7.8%
↓ 4.6 pp
Estimated spend
12.7%
↓ 29.3 pp
tokensestimated spend13 weeks; arrow vs. 4 weeks earlier
Most used: GPT-6 Luna (4.13% of tokens)
  • API

    Decisions API leaves beta with GPT-6 Luna

    OpenAI's Decisions API is now generally available, with shared input caching and more questions per request.

    Technical version

    Available with gpt-6-luna. Each request takes up to 400 questions, up from 200 in public beta, and accepts structured data directly through input_json.

  • Pricing

    OpenAI API adds 12-hour prompt caching

    Repeated instructions and context stay cached longer, so requests hours apart still get the lower cached-input price.

    Technical version

    12-hour prompt caching in the Responses API. Cache writes cost 2.5x the input token price.

  • API

    GPT-6.1 Sol gets Ultrafast mode in the Responses API

    GPT-6.1 Sol users can ask for faster token generation, with its own pricing.

    Technical version

    Use gpt-6.1-sol with service_tier: "ultrafast" to cut the time between output tokens. Open to all API users, with global processing and US and EU data residency.

  • Model

    GPT-6.1 Sol arrives on the API at a lower cost than GPT-6 Astra

    OpenAI released GPT-6.1 Sol for complex coding and professional work, costing less than GPT-6 Astra.

    Technical version

    gpt-6.1-sol: $2 input, $0.10 cached input, $2.50 cache write and $10 output per 1M tokens for prompts up to 272K tokens. Multi-agent is in beta in the Responses API.

  • Model

    GPT-6 Sol and GPT-6 Luna arrive on the API

    OpenAI released two reasoning models that read text and images, Sol and the cheaper Luna.

    Technical version

    gpt-6-sol: $2 input, $0.20 cached input and $10 output per 1M tokens. gpt-6-luna: $0.10, $0.01 and $0.50. Prices for prompts up to 272K tokens.

Tracked sources:OpenAI API changelog

Go deeper in The Big Three →

Google

#9 by tokens · week of Oct 12, 2026
Tokens
3.8%
↓ 1.1 pp
Estimated spend
5.1%
↑ 0.3 pp
tokensestimated spend13 weeks; arrow vs. 4 weeks earlier
Most used: Gemini 3.8 Flash (1.15% of tokens)
  • Model

    Gemini 4 Argon is generally available on the API

    Google released Gemini 4 Argon, which it calls its most capable model, for complex coding, agentic, math and science tasks.

    Technical version

    gemini-4-argon is generally available on the Gemini API. API changes, pricing and migration guidance are on the What's new in Gemini 4 Argon page.

  • App

    Gemini 4 Argon reaches the Gemini app for Pro and Ultra subscribers

    Google's newest frontier model is rolling out globally in the Gemini app for Google AI Pro and Ultra subscribers.

  • Deprecation

    Gemini 3.7 Flash is deprecated and routed to 3.8 Flash

    Calls to Gemini 3.7 Flash are now served by 3.8 Flash automatically, and Google asks developers to update the model name.

    Technical version

    gemini-3.7-flash is no longer selectable in Google AI Studio, and API requests are automatically routed to gemini-3.8-flash.

  • Model

    Gemini Nano Banana 2.1 arrives for image generation and editing

    Google released a new version of its fast image model, with better visual quality, text rendering and character consistency.

    Technical version

    gemini-nano-banana-2.1 updates Nano Banana 2 (gemini-3.1-flash-image), adding wide and panoramic aspect ratios (1:4, 4:1, 1:8, 8:1) at 1K, 2K and 4K.

  • Model

    Gemini 3.8 Flash is generally available on the API

    Google released Gemini 3.8 Flash, which it calls its most intelligent Flash model, aimed at long software engineering tasks and agents.

    Technical version

    gemini-3.8-flash is generally available on the Gemini API, for long-horizon software engineering, autonomous agents and complex enterprise workflows.

Tracked sources:Gemini API changelogGemini app release notes

Go deeper in The Big Three →

The seven Chinese labs

The five Chinese labs with the most traffic over 90 days, plus Moonshot (Kimi) and Qwen (Alibaba). The list is reviewed every quarter from the data, not from preference.

DeepSeek

#1 by tokens · week of Oct 12, 2026
Tokens
30.1%
↑ 3.1 pp
Estimated spend
7.4%
↑ 2.4 pp
tokensestimated spend13 weeks; arrow vs. 4 weeks earlier
Most used: DeepSeek V4.1 Flash (21.53% of tokens)

Tracked sources:DeepSeek API newsHugging Face

Z.ai (GLM)

#2 by tokens · week of Oct 12, 2026
Tokens
12.1%
↓ 3.4 pp
Estimated spend
4.4%
↓ 1.0 pp
tokensestimated spend13 weeks; arrow vs. 4 weeks earlier
Most used: GLM 5.3 Flash (8.02% of tokens)
  • Model

    GLM-5.3-Flash arrives with native vision

    Z.ai released a Flash version of GLM-5.3 that sees interfaces and rendered results, and also handles office documents and financial research.

    Technical version

    Hybrid architecture with linear and sparse attention, 320B total parameters and 18B active, which Z.ai says cuts compute and KV-cache needs.

  • Model

    GLM-5.3 arrives with a focus on coding and security

    Z.ai released GLM-5.3 and says it codes much better than GLM-5.2 and finds security flaws in code.

    Technical version

    Z.ai reports a 50% gain over GLM-5.2 on Z.ai Code Bench and state of the art among open models on public benchmarks such as Terminal Bench 3.0. On real targets it found 2,436 vulnerabilities, 1,097 of medium or high severity.

Tracked sources:Z.ai release notesHugging Face

Xiaomi

#3 by tokens · week of Oct 12, 2026
Tokens
8.0%
↑ 2.1 pp
Estimated spend
1.9%
↑ 1.1 pp
tokensestimated spend13 weeks; arrow vs. 4 weeks earlier
Most used: MiMo-V2.6-Flash (6.52% of tokens)

Tracked sources:Hugging Face

Tencent

#7 by tokens · week of Oct 12, 2026
Tokens
7.0%
↓ 7.3 pp
Estimated spend
6.5%
↓ 5.4 pp
tokensestimated spend13 weeks; arrow vs. 4 weeks earlier
Most used: Hy4 preview (4.95% of tokens)
  • Model

    Tencent publishes Hy-Memory-30B-A3B weights

    Tencent released an open-weights text model, Hy-Memory-30B-A3B, on Hugging Face.

    Technical version

    Text generation model published under the tencent organization on Hugging Face.

  • Model

    Tencent publishes Hy4-preview and the ContextPilot family

    Tencent released a Hy4 preview and three ContextPilot models on Hugging Face, all open-weights text models.

    Technical version

    ContextPilot-14B, ContextPilot-8B, ContextPilot-E4B and Hy4-preview, all text generation models.

Tracked sources:Hugging Face

Moonshot AI

#12 by tokens · week of Oct 12, 2026
Tokens
1.4%
↑ 0.3 pp
Estimated spend
4.1%
↑ 1.1 pp
tokensestimated spend13 weeks; arrow vs. 4 weeks earlier
Most used: Kimi K3 (1.45% of tokens)
  • API

    Kimi platform adds a web search API for agents

    Moonshot's platform now offers web search through its API, with structured results for agents that run their own search logic.

    Technical version

    Endpoints /v1/tools/search and /v1/tools/search_pro, with organization and project QPS limits.

  • Deprecation

    Kimi K2.5 and the moonshot-v1 series are retired

    Moonshot retired older models across all platforms and asks users to move to Kimi K3.

    Technical version

    kimi-k2.5 and all moonshot-v1 models, including -vision-preview and moonshot-v1-auto, now return a 404 "model not found" error.

  • Model

    Kimi K3 arrives on Moonshot's API with a 1M token context

    Moonshot put Kimi K3, its flagship for long-horizon coding and end-to-end knowledge work, on its API.

    Technical version

    1M token context. New users no longer get kimi-k2.5 or the moonshot-v1 series.

Tracked sources:Kimi platform changelogHugging Face

Qwen

#13 by tokens · week of Oct 12, 2026
Tokens
1.3%
↑ 0.1 pp
Estimated spend
0.6%
↓ 0.4 pp
tokensestimated spend13 weeks; arrow vs. 4 weeks earlier
Most used: Qwen3.6 35B A3B (0.54% of tokens)
  • Model

    Qwen-Image-2.1-Turbo arrives on Model Studio

    Alibaba added the Turbo version of its open image model to Model Studio, which it calls the most balanced and cost-effective in the series.

    Technical version

    qwen-image-2.1-turbo generates and edits images, with native transparency and multi-reference editing.

  • API

    qwen3.8-max and qwen3.7-flash arrive in the US region

    Alibaba now serves qwen3.8-max and qwen3.7-flash from the US (Virginia) region.

    Technical version

    US deployment scope with text generation, deep thinking, visual understanding, function calling, structured output and context caching. qwen3.8-max has a native 1M token context window.

  • Model

    Qwen3.8-Max-0902 updates Alibaba's flagship

    Alibaba released a new qwen3.8-max snapshot that it says codes better on large projects and handles multi-tool work better.

    Technical version

    Snapshot qwen3.8-max-0902, alias qwen3.8-max-2026-09-02, with text generation, reasoning and visual understanding.

  • Model

    Qwen3.8-2.4T-A95B is the open version of Qwen's flagship series

    Alibaba published the open-source version of its flagship series, a very large model that activates only part of its parameters at each step.

    Technical version

    Sparse MoE with 2.4 trillion total parameters and about 95 billion active per step, hybrid attention and a 1 million token context.

Tracked sources:Alibaba Model StudioHugging Face

MiniMax

#15 by tokens · week of Oct 12, 2026
Tokens
0.9%
↓ 0.3 pp
Estimated spend
0.5%
↓ 0.1 pp
tokensestimated spend13 weeks; arrow vs. 4 weeks earlier
Most used: MiniMax M3 (0.91% of tokens)

Tracked sources:MiniMax release notesHugging Face

Timeline

Every recorded move, newest first.

Token and estimated spend share among identified models, per full week, Monday to Sunday, the same math as the “The data” strip in the Radar. Spend is tokens times the catalog blended price (75% input, 25% output), and free endpoints count as zero. Moves are AI-written summaries using only what the official note says, with every number checked against it; collection runs Monday, Wednesday and Friday. ChatGPT release notes refuse automated reading, so OpenAI is covered through its API changelog.