Qwen: Qwen3.5-35B-A3B
Analysis Summary
Qwen3.5-35B-A3B is a mixture-of-experts model from Alibaba's Qwen team, with an intelligence index of 23.4 and an agentic index of 48.4. The agentic score is high relative to its intelligence index, suggesting it performs well on structured task execution. Vision, tool use, and function calling are all supported, and the 262K context window handles long documents comfortably.
For businesses, this model is best suited to cost-sensitive workflows requiring tool use and moderate reasoning: SEO automation, structured content generation, and lightweight agentic tasks. The absence of a coding index score limits confidence in software engineering use cases. Instruction following is weaker than peers at this tier (aa_ifbench 0.44), which may affect reliability on precise structured output tasks.
At $0.14 input and $1.00 output per million tokens, it is very affordable. Teams needing a capable, low-cost model for agentic or multimodal content workflows will find it a practical option, with the caveat that instruction precision may require prompt engineering effort.
Assessed June 30, 2026
Editorial notes
Qwen3.5-35B-A3B is a cost-efficient MoE model with a strong agentic index, vision, tool use, and a 262K context, though its intelligence index is mid-tier and coding data is absent.
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 #117 of 385 AI models we track for overall intelligence, #95 of 293 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
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 | 81,920 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).
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.
