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Qwen: Qwen3 235B A22B Thinking 2507Sunset

qwen/qwen3-235b-a22b-thinking-2507
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Qwen3-235B-A22B-Thinking-2507 is a high-performance, open-weight Mixture-of-Experts (MoE) language model optimized for complex reasoning tasks. It activates 22B of its 235B parameters per forward pass and natively supports up to 262,144 tokens of context. This "thinking-only" variant enhances structured logical reasoning, mathematics, science, and long-form generation, showing strong benchmark performance across AIME, SuperGPQA, LiveCodeBench, and MMLU-Redux. It enforces a special reasoning mode () and is designed for high-token outputs (up to 81,920 tokens) in challenging domains.

The model is instruction-tuned and excels at step-by-step reasoning, tool use, agentic workflows, and multilingual tasks. This release represents the most capable open-source variant in the Qwen3-235B series, surpassing many closed models in structured reasoning use cases.

By:QwenInput Type:Output Type:Publish time:2025-07-21

Providers

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ProviderCache Hit RateContext
TboxSunset
theta
-$0.28/ M tokens$2.78/ M tokensRead:0.056/ M tokensWrite:-/ M tokens256K--

Uptime

Direct request success rate on AI Gateway and per-provider.

Sep 30, 07:59
Tbox100.00%

Throughput

P50 throughput on live AI Gateway traffic, in tokens per second (TPS).

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Latency

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Activity

Token volume and request traffic to this model over time.

Token Consumption
Sep 29
Tbox5.2K

Token volume broken down by the provider that served each request. Larger segments indicate providers handling more of this model's traffic.

Benchmarks

Scores on standardized evaluations. Higher percentages are better — and rank percentile shows

Metrics sourced fromArtificial Analysis

Apps

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Token Ranking
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