Qwen: Qwen3.5-27B
Analysis Summary
Qwen: Qwen3.5-27B sits in the Professional tier on our leaderboard, ranked #43 of 523 published models on overall intelligence. At $0.195 input and $1.56 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
Qwen3.5-27B is a capable multimodal model supporting text, image, and video inputs with strong reasoning and good instruction-following at a competitive price point. Its agentic performance is solid and the 262K context window is workable, though Western business support for Qwen/Alibaba models may be a consideration.
Assessed April 24, 2026
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
The Qwen3.5 27B native vision-language Dense model incorporates a linear attention mechanism, delivering fast response times while balancing inference speed and performance. Its overall capabilities are comparable to those of..
Capabilities
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does Qwen: Qwen3.5-27B stack up?
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Model Information
| OpenRouter ID |
qwen/qwen3.5-27b
|
| 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 | $0.20 | $0.000195 |
| Output | $1.56 | $0.001560 |
Live Performance
Live endpoint metrics — refreshed every 30 minutes.
Leaderboard Categories
External Resources
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Data sourced from OpenRouter API, Artificial Analysis and Hugging Face Open LLM Leaderboard. Scores are editorially curated by our team.
Last updated: April 24, 2026 12:17 pm