Qwen: Qwen3.5-35B-A3B
Analysis Summary
Qwen: Qwen3.5-35B-A3B sits in the Specialist tier on our leaderboard, ranked #92 of 525 published models on overall intelligence. At $0.163 input and $1.30 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
Qwen3.5-35B-A3B is a multimodal MoE model with vision and video support, reasonable reasoning scores, and competitive pricing ā a cost-effective option for structured content and SEO tasks, though its coding and instruction-following benchmarks are below the top tier.
Assessed April 23, 2026
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
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 specialist models.
Model Information
| OpenRouter ID |
qwen/qwen3.5-35b-a3b
|
| Provider | qwen |
| Release Date | February 25, 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 | $0.16 | $0.000163 |
| Output | $1.30 | $0.001300 |
Live Performance
Live endpoint metrics ā refreshed every 30 minutes.
External Resources
Explore Related Models
Data sourced from OpenRouter API, Artificial Analysis and Hugging Face Open LLM Leaderboard. Scores are editorially curated by our team.
Last updated: April 25, 2026 8:38 pm