Qwen: Qwen3 VL 30B A3B Instruct
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...
Anyone in the Space can @-mention Qwen: Qwen3 VL 30B A3B Instruct with the team's shared context - pooled credits, one chat, one memory.
Starter is free forever - 1 Space, 100 credits/month, 1 MCP. No card.
Verdict
Best for
- Budget-conscious image analysis workflows
- Document OCR and layout understanding
- Screenshot annotation and UI analysis
- Mixed text-image customer support
- Prototyping vision features before scaling
Strengths
The 131K context window handles long documents with embedded images without chunking. Pricing sits 60-70% below comparable vision models from OpenAI and Anthropic, making it viable for high-volume image processing. The Qwen family historically performs well on multilingual tasks, so expect decent non-English vision understanding. Quantization (A3B) means faster inference on standard hardware compared to full-precision alternatives.
Trade-offs
No public benchmark data yet, so performance relative to GPT-4V, Claude Sonnet, or Gemini Flash remains unverified in production scenarios. Quantization typically degrades fine-grained visual reasoning—expect weaker performance on complex charts, dense diagrams, or subtle visual distinctions. Proprietary license limits deployment flexibility. The 30B parameter count suggests it will lag behind 70B+ models on nuanced multimodal reasoning tasks.
Specifications
- Provider
- qwen
- Category
- llm
- Context length
- 131,072 tokens
- Max output
- 32,768 tokens
- Modalities
- text, image
- License
- proprietary
- Released
- 2025-10-06
Pricing
- Input
- $0.13/Mtok
- Output
- $0.52/Mtok
- Model ID
qwen/qwen3-vl-30b-a3b-instruct
Per-token prices show what the model costs upstream. On Switchy your team draws from one shared org credit pool - one plan, one balance for everyone.
Team cost calculator
5 seats · 80 msgs/day
Switchy meters this against your org's shared credit pool - one plan, one balance for everyone.
Providers
| Provider | Context | Input | Output | P50 latency | Throughput | 30d uptime |
|---|---|---|---|---|---|---|
| qwen | 131k | $0.13/Mtok | $0.52/Mtok | — | — | — |
Performance
Benchmarks
Works well with
Top MCPs
Compatibility data comes from first-party telemetry; once we have enough co-usage signal, top MCPs for this model will appear here.
How Switchy teams use it
Starter prompts
Extract Invoice Data
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Annotate UI Screenshot
List all buttons, input fields, and navigation elements visible in this screenshot. For each, provide the label text and approximate screen position (top-left, center, etc.).Open in a Space →
Describe Chart Trends
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Compare Product Images
Compare these two product images. List any visible differences in color, packaging, labeling, or condition. Be specific about location and severity.Open in a Space →
Translate Image Text
Extract all visible text from this image, then translate it to English. Preserve formatting where possible and note any text that's unclear or partially obscured.Open in a Space →