Qwen: Qwen3.5 397B A17B
Analysis Summary
Qwen: Qwen3.5 397B A17B comes from Qwen. Released in February 2026, it is one of the newest models we cover. We place it in the Professional tier, where it sits at #10 of 565 models overall. For raw reasoning ability it ranks #36 of 374, putting it in the top quartile for overall intelligence.
Qwen: Qwen3.5 397B A17B is particularly strong at software work, placing #37 of 311 for coding. It also ranks #20 of 286 for agentic, multi-step tasks ā the autonomous, tool-driven workflows that underpin business automation. Its 262K-token context window is larger than 81% of the models we list, suiting long documents, large codebases, and retrieval-heavy workloads. Crucially for business adoption, Qwen: Qwen3.5 397B A17B combines tool use, function calling, vision input, and step-by-step reasoning in a single model, letting teams consolidate several use cases instead of stitching together multiple services.
At $0.390 input and $2.34 output per 1M tokens, Qwen: Qwen3.5 397B A17B is cost-efficient for everyday workloads so it scales comfortably across routine production traffic. Qwen: Qwen3.5 397B A17B is a dependable pick for businesses that need strong, well-rounded performance without paying frontier prices.
Editorial notes
Qwen3.5 397B A17B delivers excellent reasoning, strong agentic and coding scores, vision support, and a 262K context window at competitive pricing, with top-tier instruction-following benchmarks.
Assessed May 31, 2026
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
How Qwen: Qwen3.5 397B A17B compares
Qwen: Qwen3.5 397B A17B ranks #36 of 374 AI models we track for overall intelligence, #37 of 311 for coding, #20 of 286 for agentic tasks. Its 262K-token context window is larger than 81% of the models we list. At $0.39 per million input tokens it is cheaper than 38% of comparable models.
About Qwen: Qwen3.5 397B A17B
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?
Compare side-by-side with other professional models.
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, refreshed every 30 minutes.
Leaderboard Categories
External Resources
Frequently asked questions about Qwen: Qwen3.5 397B A17B
How much does Qwen: Qwen3.5 397B A17B cost?
Qwen: Qwen3.5 397B A17B costs $0.39 per million input tokens and $2.34 per million output tokens.
What is the context window of Qwen: Qwen3.5 397B A17B?
Qwen: Qwen3.5 397B A17B has a context window of 262,144 tokens (262K).
Is Qwen: Qwen3.5 397B A17B good for coding?
On our coding benchmark index, Qwen: Qwen3.5 397B A17B ranks #37 of 311 models, placing it in the top quartile of the field for code generation and debugging.
What can Qwen: Qwen3.5 397B A17B do?
Qwen: Qwen3.5 397B A17B supports image/vision input, tool use, and function calling.
Who created Qwen: Qwen3.5 397B A17B?
Qwen: Qwen3.5 397B A17B is developed by Qwen and was released on February 16, 2026.
