← All models

Qwen3 235B A22B 2507 (Reasoning)

open weightsdeprecated by benchmark source
Alibaba · released 2025-07-25 · 1 offer

Context 256K tokens

Top 1 cheapest providers (Adjusted $/task)

Within the active global provider, residency and confidentiality filters.

#ProviderAdjusted $/task
1Venicevia OpenRouter — Price via OpenRouter: OpenRouter's price for Venice's endpoint (https://openrouter.ai/qwen/qwen3-235b-a22b-thinking-2507/providers), collected 2026-11-03.

Composite

2 of 7 inputs6 radar axes: DesignArena's two boards share one

10.5

 Thin data · 2/7Based on only 2 of 7 Composite inputs — treat this rank as uncertain

includes −5.4 for its Benchmaxxing signal (from 15.8; why, switch off in Options)

Benchmaxxing signal +5.4, light Benchmaxxing tag, uncertain: The 80 % interval reaches below zero — treat this tag as uncertain · light report →The 80 % interval reaches below zero — treat this tag as uncertain.

AA Coding v4.xCoding Agent v1.4AA Intelligence (est.)AA AgenticEpoch ECISoftware ECIDesignArenaAA Coding v4.x: percentile 25AA Intelligence (est.): percentile 49AA Agentic: percentile 19

AA Coding v4.x 22.1Coding Agent v1.4 —AA Intelligence (est.) 5.4AA Agentic 1.3Epoch ECI —Software ECI —DesignArena —/—

Radar: percentile among all models measured on each input; a gap means not measured.

Benchmark sheet

26 of 319 registered benchmark versions · bars show the percentile among all models measured on each benchmark.

3 of 30 values are Alibaba's own claims (†), not independent measurements; a matching independent result replaces a claim as soon as one exists.

Compare this model →

Agentic

  • AA-Briefcase9190 Elo

    AA-Briefcase published 2026-09-10 → · Published board — Tests multi-week professional knowledge-work projects with linked tasks and large source collections.

  • GDPval-AA v221495 Elo

    GDPval-AA v2 v2 → · Published board — Tests professional knowledge-work deliverables across occupations using AA's Stirrup harness.

  • Terminal-Bench Hard (AA)5013.6%

    Terminal-Bench Hard (AA) pinned revision 74221fb → · Published board — Tests a pinned 44-task hard subset of terminal-based work using Terminus 2.

  • Terminal-Bench v2.1 (AA)1912.0%

    Terminal-Bench v2.1 (AA) v2.1 → · Published board — Tests terminal-based work on the 89-task verified refresh using Terminus 2.

  • Terminal-Bench v4.0 (AA)180.0%

    Terminal-Bench v4.0 (AA) v4.0 → · Published board — Tests terminal-based work on the 66-task release using mini-SWE-agent v2.4.6.

  • τ²-Bench Airline (OpenRouter run)3261.2%

    τ²-Bench Airline (OpenRouter run) published 2026-09-15 → · Published board — Multi-turn service agents making tool calls under strict policy constraints. (OpenRouter's own reproducible run, as published on openrouter.ai/benchmarks.)

  • τ²-bench v2developer's claim58.0%† self-reported by the developer

    τ²-bench v2 → · vendor protocol: TAU2-Airline; Own-column self-reported vendor evaluation; output length 32,768 tokens (81,920 for highly challenging tasks); temperature 0.6, TopP 0.95, TopK 20, MinP 0 — A dual-control customer-service evaluation in which agents use tools and guide simulated users across retail, airline and telecom tasks.

  • τ²-bench v2developer's claim71.9%† self-reported by the developer

    τ²-bench v2 → · vendor protocol: TAU2-Retail; Own-column self-reported vendor evaluation; output length 32,768 tokens (81,920 for highly challenging tasks); temperature 0.6, TopP 0.95, TopK 20, MinP 0 — A dual-control customer-service evaluation in which agents use tools and guide simulated users across retail, airline and telecom tasks.

  • τ²-bench v2developer's claim45.6%† self-reported by the developer

    τ²-bench v2 → · vendor protocol: TAU2-Telecom; Own-column self-reported vendor evaluation; output length 32,768 tokens (81,920 for highly challenging tasks); temperature 0.6, TopP 0.95, TopK 20, MinP 0 — A dual-control customer-service evaluation in which agents use tools and guide simulated users across retail, airline and telecom tasks.

  • AA Agentic Index191.30

    AA Agentic Index published 2026-09-18 → · Published board — Artificial Analysis publishes one Agentic Index per model, measured on its primary configuration and relayed by OpenRouter's Benchmarks API; the value is attached at family scope on the deterministic representative. Artificial Analysis publishes this board without a version number; we keep the date each result was retained.

Coding

  • SciCode (AA subproblems) v1.0.13041.4%

    SciCode (AA subproblems) v1.0.1 → · Published board — Tests scientific Python programming with scientist-annotated background information.

  • AA Coding Index v4.x · frozen 2026-10-272522.1

    AA Coding Index v4.x · frozen 2026-10-27 → · Published board — Artificial Analysis withdrew the Coding Index with Intelligence Index v5.0 (2026-10-28). These are the last v4.x values, frozen with their own date (2026-10-27).

Efficiency

Instruction-following

Knowledge

Long-context

  • GDP.pdf (AA)304.8%

    GDP.pdf (AA) published 2026-09-10 → · Published board — Tests professional reasoning over long PDFs with AA document preparation and grading.

  • AA-LCR v1.16972.0%

    AA-LCR v1.1 v1.1 → · Published board — Tests reasoning across multiple long documents with corrected answer keys and grading.

Math

  • AIME 2025 (AA)9291.0%

    AIME 2025 (AA) v2025 → · Published board — Advanced mathematical problem solving on AIME I and II 2025.

Science

Tool-use

  • AutomationBench-AA v1.0.6232.2%

    AutomationBench-AA v1.0.6 → · Published board — Tests multi-app SaaS workflows through REST tools on a held-out AutomationBench split.

  • τ²-Bench Telecom (AA)5453.2%

    τ²-Bench Telecom (AA) published 2026-09-10 → · Published board — Tests dual-control telecom agents that coordinate tool use with a simulated user.

  • τ³-Banking (AA) v1.0.1237.8%

    τ³-Banking (AA) v1.0.1 → · Published board — Tests banking support agents that retrieve policies and change account state through tools.

Uncensored

  • UGI Willingness422.80

    UGI Willingness published 2026-09-10 → · Published board — A private-question evaluation of how far a model follows challenging instructions before refusing or deviating.

  • UGI3728.8

    UGI published 2026-09-10 → · Published board — A private-question suite combining sensitive-topic knowledge with willingness to follow controversial instructions.

Writing

  • UGI Writing4232.4

    UGI Writing published 2026-09-10 → · Published board — A maintainer-owned writing evaluation considering intelligence, style, repetition and length adherence, informed by human preferences.

Missing coverage · 293 benchmark versions

No result does not mean a zero, or that the model was never tested. Collection failures and disputed versions retain their distinct status.

Token offers by platform · 1 offer (Adjusted $/task)

Click any underlined price to see how it is estimated and where each input comes from. How we calculate adjusted cost.

1 offer within the active global filters; “price n/a” means the provider serves the model but publishes no direct token price we could collect — no other channel's price is shown in its place.

OpenRouter (1)

Prices via OpenRouter — what OpenRouter charges for each provider's endpoint, not the provider's own direct price. Source: openrouter.ai/qwen/qwen3-235b-a22b-thinking-2507/providers, collected 2026-11-03.

Venice
Qwen3 235B A22B 2507 (Reasoning) — benchmarks & cost