Qwen: Qwen3.5-9B
Analysis Summary
Qwen: Qwen3.5-9B sits in the Specialist tier on our leaderboard, ranked #101 of 544 published models on overall intelligence. At $0.100 input and $0.150 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
Qwen3.5-9B is an ultra-cheap multimodal model at $0.10/$0.15 per million tokens with vision and video support, though reasoning and coding benchmarks are limited, best suited to cost-sensitive SEO and content tasks.
Assessed May 5, 2026
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
Qwen3.5-9B is a multimodal foundation model from the Qwen3.5 family, designed to deliver strong reasoning, coding, and visual understanding in an efficient 9B-parameter architecture. It uses a unified vision-language design..
Capabilities
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does Qwen: Qwen3.5-9B stack up?
Compare side-by-side with other specialist models.
Model Information
| OpenRouter ID |
qwen/qwen3.5-9b
|
| Provider | qwen |
| Release Date | March 10, 2026 |
| Context Length | 262,144 tokens |
| Status | Active |
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.10 | $0.000100 |
| Output | $0.15 | $0.000150 |
Live Performance
Live endpoint metrics — refreshed every 30 minutes.
Leaderboard Categories
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: May 5, 2026 11:06 am