Qwen3 235B A22B 2507 (Reasoning)
Context 256K tokens
Top 1 cheapest providers (Adjusted $/task)
Within the active global provider, residency and confidentiality filters.
| # | Provider | Price channel | Raw input $/1M | Raw output $/1M | Adjusted $/task |
|---|---|---|---|---|---|
| 1 | Venicevia 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. | via 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. | $0.450 | $3.50 |
Composite
2 of 7 inputs6 radar axes: DesignArena's two boards share one10.5
Thin data · 2/7Based on only 2 of 7 Composite inputs — treat this rank as uncertainincludes −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.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.
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
GPQA Diamond (OpenRouter run) — measured cost per task48$0.029
GPQA Diamond (OpenRouter run) — measured cost per task published 2026-09-15 → · Published board — Mean USD OpenRouter actually spent per task while running GPQA Diamond for this configuration.
τ²-Bench Airline (OpenRouter run) — measured cost per task46$0.059
τ²-Bench Airline (OpenRouter run) — measured cost per task published 2026-09-15 → · Published board — Mean USD OpenRouter actually spent per task while running τ²-Bench Airline for this configuration.
Instruction-following
IFBench (AA single-turn)6151.2%
IFBench (AA single-turn) published 2026-09-10 → · Published board — Tests precise single-turn instructions with deterministic rule checks.
Knowledge
Humanity's Last Exam (AA text-only)6515.9%
Humanity's Last Exam (AA text-only) published 2026-09-10 → · Published board — Tests expert-level knowledge on AA's text-only Humanity's Last Exam subset.
AA-Omniscience Index38-46.5
AA-Omniscience Index published 2026-09-10 → · Published board — Tests factual reliability while rewarding correct answers and penalizing hallucinations.
UGI NatInt6334.6
UGI NatInt published 2026-09-10 → · Published board — A private-question evaluation of general knowledge and reasoning across textbook, popular-culture and world-model topics.
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
CritPt (AA)240.0%
CritPt (AA) published 2026-09-10 → · Published board — Tests research-level physics reasoning with Python, symbolic and numerical answers.
GPQA Diamond (AA)6679.0%
GPQA Diamond (AA) published 2026-09-10 → · Published board — Tests graduate-level biology, physics and chemistry knowledge on the Diamond subset.
GPQA Diamond (OpenRouter run)4680.0%
GPQA Diamond (OpenRouter run) published 2026-09-15 → · Published board — Graduate-level science questions that resist retrieval and reward careful reasoning. (OpenRouter's own reproducible run, as published on openrouter.ai/benchmarks.)
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 | globalvenice/fp8 | $0.450 raw in $/1M | $3.50 raw out $/1M |