Qwen: Qwen3 VL 8B Instruct
Analysis Summary
Qwen3 VL 8B Instruct is a compact multimodal model from Qwen, supporting image and text inputs with tool use and function calling. At 8B parameters, it is designed for efficiency rather than depth, and its benchmark scores reflect that: reasoning and coding indices are low, and long-context reliability is limited.
The model is best positioned for simple visual question answering, image captioning, or structured data extraction from documents where cost and speed are the primary constraints. Its agentic score is marginally higher than its coding score, suggesting some basic tool-use capability, but it is not suited to multi-step autonomous workflows.
Pricing at $0.08 input and $0.50 output per million tokens is competitive for its class. Teams running high-volume, low-complexity vision tasks on a tight budget may find it adequate, but any task requiring reliable reasoning or code generation will need a more capable model.
Assessed June 17, 2026
Editorial notes
Qwen3 VL 8B is a small vision-language model with tool use and a 256K context window, but low reasoning and coding scores make it suitable only for lightweight multimodal extraction tasks.
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Performance Profile
How Qwen: Qwen3 VL 8B Instruct compares
Qwen: Qwen3 VL 8B Instruct ranks #258 of 380 AI models we track for overall intelligence, #215 of 292 for agentic tasks. Its 256K-token context window is larger than 70% of the models we list. At $0.08 per million input tokens it is cheaper than 69% of comparable models.
About Qwen: Qwen3 VL 8B Instruct
Qwen3-VL-8B-Instruct is a multimodal vision-language model from the Qwen3-VL series, built for high-fidelity understanding and reasoning across text, images, and video. It features improved multimodal fusion with Interleaved-MRoPE for long-horizon..
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 Instruct stack up?
Compare side-by-side with other efficient models.
Model Information
| OpenRouter ID |
qwen/qwen3-vl-8b-instruct
|
| 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 | $0.08 | $0.000080 |
| Output | $0.50 | $0.000500 |
Live Performance
Live endpoint metrics, refreshed every 30 minutes.
Leaderboard Categories
External Resources
Frequently asked questions about Qwen: Qwen3 VL 8B Instruct
How much does Qwen: Qwen3 VL 8B Instruct cost?
Qwen: Qwen3 VL 8B Instruct costs $0.08 per million input tokens and $0.50 per million output tokens.
What is the context window of Qwen: Qwen3 VL 8B Instruct?
Qwen: Qwen3 VL 8B Instruct has a context window of 256,000 tokens (256K).
What can Qwen: Qwen3 VL 8B Instruct do?
Qwen: Qwen3 VL 8B Instruct supports image/vision input, tool use, and function calling.
Who created Qwen: Qwen3 VL 8B Instruct?
Qwen: Qwen3 VL 8B Instruct is developed by Qwen and was released on October 14, 2025.
