Qwen: Qwen3.5-27B
Analysis Summary
Qwen3.5-27B is a full-parameter model from Alibaba's Qwen family with an intelligence index of 33.8 and a coding index of 34.9, placing it in the good-to-strong tier. Its agentic index of 63.2 is a standout, suggesting reliable multi-step tool use and task orchestration. Instruction following is strong at 0.756, and it supports text, image, and video inputs alongside tool use and function calling.
For businesses, it is a well-rounded mid-tier option suited to agentic workflows, content generation, document analysis, and structured output tasks. The 262K context window handles long documents comfortably. Its coding capability is competent for routine software tasks, though not at the level of frontier coding models. The combination of strong agentic performance and multimodal support makes it versatile across a range of business use cases.
At $0.195 input and $1.56 output per million tokens, it offers reasonable value for its capability level. A -4 point regional penalty applies. Teams looking for a capable, affordable model for agentic and content workflows will find it a strong fit within its tier.
Assessed June 17, 2026
Editorial notes
Qwen3.5-27B delivers good reasoning, strong agentic performance, vision and video support, and a 262K context window at a competitive price, making it a capable mid-tier option for tool-augmented business workflows.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
How Qwen: Qwen3.5-27B compares
Qwen: Qwen3.5-27B ranks #52 of 380 AI models we track for overall intelligence, #71 of 317 for coding, #52 of 292 for agentic tasks. Its 262K-token context window is larger than 81% of the models we list. At $0.20 per million input tokens it is cheaper than 53% of comparable models.
About Qwen: Qwen3.5-27B
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?
Compare side-by-side with other professional models.
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
Frequently asked questions about Qwen: Qwen3.5-27B
How much does Qwen: Qwen3.5-27B cost?
Qwen: Qwen3.5-27B costs $0.20 per million input tokens and $1.56 per million output tokens.
What is the context window of Qwen: Qwen3.5-27B?
Qwen: Qwen3.5-27B has a context window of 262,144 tokens (262K).
Is Qwen: Qwen3.5-27B good for coding?
On our coding benchmark index, Qwen: Qwen3.5-27B ranks #71 of 317 models, placing it in the top quartile of the field for code generation and debugging.
What can Qwen: Qwen3.5-27B do?
Qwen: Qwen3.5-27B supports image/vision input, tool use, and function calling.
Who created Qwen: Qwen3.5-27B?
Qwen: Qwen3.5-27B is developed by Qwen and was released on February 25, 2026.
