Qwen3-VL-8B-Instruct
Meet Qwen3-VL — the most powerful vision-language model in the Qwen series to date.
Params
8.8 B
Context
—
Downloads 30d
7.1 M
Likes
1,248
Download history
daily snapshots · 106 days
▲ 1.9 M in the last 30 days (21.0%)
8.8 M4.8 M
Oct 12Oct 22Nov 1Nov 10
20.2 M4.5 M
Aug 13Sep 12Oct 12Nov 10
20.2 M4.5 M
Jul 28Sep 1Oct 6Nov 10
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 | 17.5 GB | 21.1 GB | ⚠️ Tight — reduce context |
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$0.25
input / 1M
$0.75
output / 1M
$0.12
cached input / 1M
$1.00
1M in + 1M out
- Context window
- 262,144 tokens
- Max output
- 235,929 tokens
- Providers
- 1
- Cheapest provider
- Parasail · $0.25 / $0.75
- Best throughput
- —
- AA Intelligence / Coding / Agentic
- — / — / —
✓ Tool calling
✗ Reasoning
✓ Structured outputs
✓ Image input
✗ File input
✗ Audio input
✓ Prompt caching
Specifications
- Architecture
- Qwen3VLForConditionalGeneration
- Parameters
- 8.8 B
- Tensor type
- BF16
- Licence
- apache-2.0
- First seen on the Hub
- 2025-10-11
- 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