Qwen: Qwen3 VL 8B Instruct
Qwen's compact 8B vision-language model offers very affordable multimodal capability, but benchmark scores across reasoning, coding, and instruction-following are limited, making it suitable only for basic tasks.
Assessment date: April 16, 2026
Our methodology takes into account a range of factors including pricing, functionality, capabilities, benchmark performance, and real-world applicability. Rankings are reviewed and updated regularly as new models are released. Issues with our rankings? Contact us
Performance Profile
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
Architecture
| Modality | Text + Image → Text |
| Tokenizer | Qwen3 |
| Parameters | 8B |
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 | 131,072 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.
