qwen3.5-122b-a10b by openrouter - AI Model Details, Pricing, and Performance Metrics
qwen3.5-122b-a10b
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The Qwen3.5 122B-A10B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. In terms of overall performance, this model is second only to Qwen3.5-397B-A17B. Its text capabilities significantly outperform those of Qwen3-235B-2507, and its visual capabilities surpass those of Qwen3-VL-235B.
The Qwen3.5 122B-A10B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. In terms of overall performance, this model is second only to Qwen3.5-397B-A17B. Its text capabilities significantly outperform those of Qwen3-235B-2507, and its visual capabilities surpass those of Qwen3-VL-235B.
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Category Scores
Benchmark Tests
| Metric | HLE | GPQA | MMMU | SciCode | MMLU-Pro | AA Coding Index | AAII |
|---|---|---|---|---|---|---|---|
| Score | 23.4 | 86.1 | 83.9 | 42.0 | 86.7 | 34.7 | 41.6 |
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