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Qwen3 235B A22B Instruct 2507

Rank #70 qwen

qwen/qwen3-235b-a22b-07-25

Usage data date 2026-07-27 · updated daily

Usage and specs

Daily rank#70
Daily tokens78.5B
Daily requests21.4M
Daily change +12.2%
Context window262.1K
Released

What is Qwen3 235B A22B Instruct 2507

Qwen3-235B-A22B-Instruct-2507 is a multilingual, instruction-tuned mixture-of-experts language model based on the Qwen3-235B architecture, with 22B active parameters per forward pass. It is optimized for general-purpose text generation, including instruction following, logical reasoning, math, code, and tool usage. The model supports a native 262K context length and does not implement "thinking mode" (<think> blocks). Compared to its base variant, this version delivers significant gains in knowledge coverage, long-context reasoning, coding benchmarks, and alignment with open-ended tasks. It is particularly strong on multilingual understanding, math reasoning (e.g., AIME, HMMT), and alignment evaluations like Arena-Hard and WritingBench.

Qwen3 235B A22B Instruct 2507 capabilities

Input: Text   Output: Text

JSON output Structured outputs Tool choice Tool use Knowledge cutoff 2025-06-30

Qwen3 235B A22B Instruct 2507 API pricing

Input · per 1M tokens$0.09
Output · per 1M tokens$0.55

USD list-price snapshot, not independently verified; confirm current pricing and terms on the provider site before purchase.

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