Qwen: Qwen3 VL 8B Thinking
Analysis Summary
Qwen: Qwen3 VL 8B Thinking sits in the Efficient tier on our leaderboard, ranked #177 of 561 published models on overall intelligence. At $0.117 input and $1.37 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 VL 8B Thinking adds reasoning mode and vision to the 8B form factor with tool use and a 256K context; output pricing is high relative to its intelligence tier, limiting cost efficiency.
Assessed May 17, 2026
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Performance Profile
Qwen3-VL-8B-Thinking is the reasoning-optimized variant of the Qwen3-VL-8B multimodal model, designed for advanced visual and textual reasoning across complex scenes, documents, and temporal sequences. It integrates enhanced multimodal alignment and..
Capabilities
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does Qwen: Qwen3 VL 8B Thinking stack up?
Compare side-by-side with other efficient models.
Model Information
| OpenRouter ID |
qwen/qwen3-vl-8b-thinking
|
| Provider | qwen |
| Release Date | October 14, 2025 |
| Context Length | 256,000 tokens |
| Max Completion | 32,768 tokens |
| Status | Active |
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.12 | $0.000117 |
| Output | $1.37 | $0.001365 |
Live Performance
Live endpoint metrics ā 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: May 23, 2026 8:38 pm