Qwen: Qwen3 VL 235B A22B Instruct
Qwen3 VL 235B A22B Instruct offers vision capability and a 262K context window at a reasonable price, but benchmark scores are limited across the board, placing it in the lower-mid tier. UK business accessibility may be a consideration given the provider's regional footprint.
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-235B-A22B Instruct is an open-weight multimodal model that unifies strong text generation with visual understanding across images and video. The Instruct model targets general vision-language use (VQA, document parsing, chart/table..
Capabilities
Architecture
| Modality | Text + Image → Text |
| Tokenizer | Qwen3 |
| Parameters | 235B |
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does Qwen: Qwen3 VL 235B A22B Instruct stack up?
Compare side-by-side with other specialist models.
Model Information
| OpenRouter ID |
qwen/qwen3-vl-235b-a22b-instruct
|
| Provider | qwen |
| Release Date | September 23, 2025 |
| Context Length | 262,144 tokens |
| Status | Active |
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.20 | $0.000200 |
| Output | $0.88 | $0.000880 |
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