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Qwen Released July 25, 2025 Synced Apr 19, 2026

Qwen: Qwen3 235B A22B Thinking 2507

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...

Tool useReasoning

Why it stands out

262K-token context window handles longer documents and multi-turn conversations without truncation.
Combines tool use with reasoning — a strong baseline for agentic and multi-step workflows.
$0.11/M input makes it practical for always-on agents, batch processing, or high-volume classification.

What to watch

Text-only input — image or audio workflows require a separate model in the pipeline.
No benchmark score currently tracked — evaluate using task-specific testing alongside pricing and capability data.

Release timeline

Tracked events for Qwen: Qwen3 235B A22B Thinking 2507.

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release

Qwen: Qwen3 235B A22B Thinking 2507 entered the tracked catalog

July 25, 2025

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 (</think>) 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.

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Recent changes

LaunchJul 25

Qwen launched Qwen: Qwen3 235B A22B Thinking 2507

PricingApr 17

Output price changed

$1.495/M → $0.6/M

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