by Alibaba
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.
| Signal | Strength | Weight | Impact |
|---|---|---|---|
| Capabilities2026-03-03T20:29:51.433Z | 57 | 25% | +14.3 |
| Recency2026-03-03T20:29:51.433Z | 92 | 15% | +13.8 |
| Context Window2026-03-03T20:29:51.433Z | 86 | 15% | +12.9 |
| Versatility2026-03-03T20:29:51.433Z | 33 | 10% | +3.3 |
| Output Capacity2026-03-03T20:29:51.433Z | 20 | 10% | +2.0 |
| Pricing Tier2026-03-03T20:29:51.433Z | 0 | 25% | +0.0 |
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