Alibaba
Qwen3 VL 8B Instruct
Qwen3-VL-8B-Instruct is a multimodal vision-language model from the Qwen3-VL series, built for high-fidelity understanding and reasoning across text, images, and video. It features improved multimodal fusion with Interleaved-MRoPE for long-horizon...
Model facts
- Context window
- 262K tokens
- Maximum output
- 33K tokens
- Cheapest paid input
- $0.117 per 1M tokens
- Cheapest paid output
- $0.455 per 1M tokens
- Open weights
- yes
- Providers
- 2
Capabilities and modalities
tool calling, structured output, attachments, temperature control, open weights, text, image.
Local hardware estimate
At 4K context: Q4_K_M 6.3 GiB, Q8_0 10.4 GiB, F16 18.1 GiB working memory.
- Parameters
- 8.8 billion
- Architecture
- qwen3vl
- Model license
- apache-2.0
Planning estimate adapted from the MIT-licensed whichllm estimator using metadata from Hugging Face; not a vendor minimum requirement.
Artificial Analysis benchmarks
Compare this model on the full LLM benchmark leaderboard.
| Configuration | AAI | Coding | Math | Output tokens/s |
|---|---|---|---|---|
| default | 8.2 | not measured | 27.3 | not measured |
Observed price history
- 2026-08-24: $0.117 input / $0.455 output per 1M tokens
API providers
- OpenRouter — model id qwen/qwen3-vl-8b-instruct; $0.117 input / $0.455 output per 1M tokens; provider documentation
- Arena — model id qwen3-vl-8b-instruct; not published input / not published output per 1M tokens; provider documentation