Qwen: Qwen3.5 397B A17B
Analysis Summary
Qwen3.5 397B A17B is a large mixture-of-experts model from Qwen that punches well above its reasoning score on coding and agentic benchmarks. It handles tool use and function calling reliably, supports vision and video inputs, and manages a 262K context window, giving it broad multimodal utility.
For businesses, this profile suits automated coding tasks, agentic pipelines, and structured content work where instruction following matters, evidenced by its strong compliance score. General reasoning is good rather than exceptional, so it is better matched to well-defined technical tasks than open-ended strategic analysis.
Pricing is very competitive for the capability on offer, making it a strong value pick for teams running high-volume coding or agentic workloads on a budget.
Assessed July 17, 2026
Editorial notes
Qwen3.5 397B A17B pairs excellent coding performance with high agentic reliability, vision and video input, and aggressive pricing for a large 262K context window.
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 #63 of 392 AI models we track for overall intelligence, #44 of 161 for coding, #27 of 296 for agentic tasks. Its 262K-token context window is larger than 80% of the models we list. At $0.39 per million input tokens it is cheaper than 40% 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 #44 of 161 models, placing it in the broader range 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.
