Qwen3.5-397B-A17B
Qwen3.5-397B-A17B is an AI model published by 阿里巴巴, released on 2026-02-16, for Multimodal model, with 397.0B parameters, and 256K tokens context length, under the Apache 2.0 license.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
| Type | Condition | Input | Output |
|---|---|---|---|
| Text | - | $0.500/ 1M | $3.00/ 1M |
| Type | TTL | Write | Read |
|---|---|---|---|
| Text | 5m | $0.625/ 1M | $0.050/ 1M |
Qwen3.5-397B-A17B currently shows benchmark results led by MMLU Pro (10 / 126, score 87.80), Pinch Bench (3 / 37, score 89.10), IF Bench (3 / 29, score 76.50). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.
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Qwen3.5-397B-A17B is an AI model published by 阿里巴巴, released on 2026-02-16, for Multimodal model, with 397.0B parameters, and 256K tokens context length, under the Apache 2.0 license.
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