Qwen: Qwen3.5-35B-A3B
Analysis Summary
Qwen: Qwen3.5-35B-A3B comes from Qwen. It launched in February 2026, making it a current-generation release. We place it in the Professional tier, where it sits at #10 of 565 models overall. For raw reasoning ability it ranks #107 of 374, putting it in the upper half for overall intelligence.
On coding it ranks #162 of 311, a reasonable fit for everyday development support. For agentic automation it sits at #92 of 286, handling the multi-step, tool-using tasks that power AI agents. 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: Qwen3.5-35B-A3B 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 $0.140 input and $1.00 output per 1M tokens, Qwen: Qwen3.5-35B-A3B is aggressively priced for high-volume use which makes it easy to justify for cost-sensitive, high-throughput deployments. Qwen: Qwen3.5-35B-A3B is a dependable pick for businesses that need strong, well-rounded performance without paying frontier prices.
Editorial notes
Qwen3.5-35B-A3B offers vision, video, and tool use with a 262K context at $0.14/1M input; coding capability is limited but agentic and reasoning scores are respectable for the price.
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: Qwen3.5-35B-A3B compares
Qwen: Qwen3.5-35B-A3B ranks #107 of 374 AI models we track for overall intelligence, #162 of 311 for coding, #92 of 286 for agentic tasks. Its 262K-token context window is larger than 81% of the models we list. At $0.14 per million input tokens it is cheaper than 58% of comparable models.
About Qwen: Qwen3.5-35B-A3B
The Qwen3.5 Series 35B-A3B is a native vision-language model designed with a hybrid architecture that integrates linear attention mechanisms and a sparse mixture-of-experts model, achieving higher inference efficiency. Its overall..
Capabilities
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does Qwen: Qwen3.5-35B-A3B stack up?
Compare side-by-side with other professional models.
Model Information
| OpenRouter ID |
qwen/qwen3.5-35b-a3b
|
| Provider | qwen |
| Release Date | February 25, 2026 |
| Context Length | 262,144 tokens |
| Max Completion | 262,144 tokens |
| Status | Active |
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.14 | $0.000140 |
| Output | $1.00 | $0.001000 |
Live Performance
Live endpoint metrics, refreshed every 30 minutes.
Leaderboard Categories
External Resources
Frequently asked questions about Qwen: Qwen3.5-35B-A3B
How much does Qwen: Qwen3.5-35B-A3B cost?
Qwen: Qwen3.5-35B-A3B costs $0.14 per million input tokens and $1.00 per million output tokens.
What is the context window of Qwen: Qwen3.5-35B-A3B?
Qwen: Qwen3.5-35B-A3B has a context window of 262,144 tokens (262K).
Is Qwen: Qwen3.5-35B-A3B good for coding?
On our coding benchmark index, Qwen: Qwen3.5-35B-A3B ranks #162 of 311 models, placing it in the broader range of the field for code generation and debugging.
What can Qwen: Qwen3.5-35B-A3B do?
Qwen: Qwen3.5-35B-A3B supports image/vision input, tool use, and function calling.
Who created Qwen: Qwen3.5-35B-A3B?
Qwen: Qwen3.5-35B-A3B is developed by Qwen and was released on February 25, 2026.
