Qwen: Qwen3.5 397B A17B
Analysis Summary
Qwen: Qwen3.5 397B A17B sits in the Professional tier on our leaderboard, ranked #48 of 523 published models on overall intelligence. At $0.390 input and $2.34 output per 1M tokens, it is among the most expensive on the market. It offers a generous context window for extended reasoning and code review and supports tool use, function calling, vision, and reasoning.
Editorial notes
Qwen3.5 397B A17B is a large multimodal model supporting text, image, and video with strong reasoning and solid instruction-following at a competitive price. Its broad capability breadth and 262K context window make it a versatile option, though Western business support for Qwen/Alibaba models is a practical consideration.
Assessed April 24, 2026
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
The Qwen3.5 series 397B-A17B 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. It delivers..
Capabilities
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does Qwen: Qwen3.5 397B A17B stack up?
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Model Information
| OpenRouter ID |
qwen/qwen3.5-397b-a17b
|
| Provider | qwen |
| Release Date | February 16, 2026 |
| Context Length | 262,144 tokens |
| Max Completion | 65,536 tokens |
| Status | Active |
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.39 | $0.000390 |
| Output | $2.34 | $0.002340 |
Live Performance
Live endpoint metrics ā refreshed every 30 minutes.
Leaderboard Categories
External Resources
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Data sourced from OpenRouter API, Artificial Analysis and Hugging Face Open LLM Leaderboard. Scores are editorially curated by our team.
Last updated: April 24, 2026 12:17 pm