Qwen3-VL-30B-A3B-Instruct
Meet Qwen3-VL — the most powerful vision-language model in the Qwen series to date.
Params
31.1 B
Context
—
Downloads 30d
860 K
Likes
590
Download history
daily snapshots · 106 days
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Can you run it?
Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.
| File | Quant | Size | Est. VRAM | Verdict on RTX 4090 · 24 GB |
|---|---|---|---|---|
| model.safetensors | bf16 | 62.1 GB | 73.5 GB | ❌ Won’t fit |
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.
Use via API
via OpenRouter · USD per 1M tokens · synced 2026-11-10$0.15
input / 1M
$0.60
output / 1M
—
cached input / 1M
$0.75
1M in + 1M out
- Context window
- 262,144 tokens
- Max output
- 16,384 tokens
- Providers
- 3
- Cheapest provider
- DeepInfra · $0.15 / $0.60
- Best throughput
- —
- AA Intelligence / Coding / Agentic
- — / — / —
✓ Tool calling
✗ Reasoning
✓ Structured outputs
✓ Image input
✗ File input
✗ Audio input
✗ Prompt caching
Specifications
- Architecture
- Qwen3VLMoeForConditionalGeneration
- Parameters
- 31.1 B
- Tensor type
- BF16
- Licence
- apache-2.0
- First seen on the Hub
- 2025-09-30
- Training datasets
- undisclosed
- Added to our catalog
- 2026-07-28
Family
Base model and the most-downloaded derivatives in the catalog.
Compare with any image-text-to-text model