Qwen: Qwen3 VL 30B A3B Instruct
Qwen3 VL 30B A3B Instruct is a budget-friendly multimodal model with vision and tool use support, but benchmark scores are limited across all dimensions. Regional accessibility for UK businesses is a factor, and it is best suited to simple, cost-sensitive vision tasks.
Assessment date: April 4, 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-30B-A3B-Instruct is a multimodal model that unifies strong text generation with visual understanding for images and videos. Its Instruct variant optimizes instruction-following for general multimodal tasks. It excels in perception..
Capabilities
Architecture
| Modality | Text + Image → Text |
| Tokenizer | Qwen3 |
| Parameters | 30B |
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does Qwen: Qwen3 VL 30B A3B Instruct stack up?
Compare side-by-side with other efficient models.
Model Information
| OpenRouter ID |
qwen/qwen3-vl-30b-a3b-instruct
|
| Provider | qwen |
| Release Date | October 6, 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 | $0.13 | $0.000130 |
| Output | $0.52 | $0.000520 |
Live Performance
Live endpoint metrics — refreshed every 30 minutes.
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: April 15, 2026 8:53 pm