Qwen: Qwen3 VL 8B Instruct
Analysis Summary
Qwen3 VL 8B Instruct is a small multimodal model from Alibaba's Qwen team, supporting text and image inputs with tool use and function calling across a 256K context window. At 8B parameters it is designed for efficiency rather than frontier reasoning, and its benchmark scores reflect that positioning.
For businesses, it suits lightweight document processing, image captioning, and structured extraction tasks where cost matters more than depth. The 256K context window is a genuine advantage for long-document workflows at this price tier. Coding and agentic performance are limited, so it is not suited to autonomous agents or complex software engineering.
At $0.08 input and $0.50 output per million tokens it is competitively priced for a multimodal model. Teams needing a cheap, vision-capable model for high-volume, lower-complexity tasks will find it useful, but should step up to a larger model for anything requiring strong reasoning.
Assessed June 6, 2026
Editorial notes
Qwen3 VL 8B Instruct is a compact vision-language model with tool use, function calling, and a 256K context window, though its intelligence and coding scores are limited for demanding business tasks.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
How Qwen: Qwen3 VL 8B Instruct compares
Qwen: Qwen3 VL 8B Instruct ranks #249 of 377 AI models we track for overall intelligence, #262 of 314 for coding, #212 of 289 for agentic tasks. Its 256K-token context window is larger than 71% of the models we list. At $0.08 per million input tokens it is cheaper than 68% 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 professional 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).
Is Qwen: Qwen3 VL 8B Instruct good for coding?
On our coding benchmark index, Qwen: Qwen3 VL 8B Instruct ranks #262 of 314 models, placing it in the broader range of the field for code generation and debugging.
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.
