Qwen: Qwen3 VL 8B Thinking
qwen/qwen3-vl-8b-thinking
Description
Qwen3-VL-8B-Thinking is the reasoning-optimized variant of the Qwen3-VL-8B multimodal model, designed for advanced visual and textual reasoning across complex scenes, documents, and temporal sequences. It integrates enhanced multimodal alignment and long-context processing (native 256K, expandable to 1M tokens) for tasks such as scientific visual analysis, causal inference, and mathematical reasoning over image or video inputs.
Compared to the Instruct edition, the Thinking version introduces deeper visual-language fusion and deliberate reasoning pathways that improve performance on long-chain logic tasks, STEM problem-solving, and multi-step video understanding. It achieves stronger temporal grounding via Interleaved-MRoPE and timestamp-aware embeddings, while maintaining robust OCR, multilingual comprehension, and text generation on par with large text-only LLMs.
How this model compares
Overall covers the full catalog. By plan covers only models available on that tier (same rules as available models in your list). Position on min–average–max. Prices use the higher of prompt or completion per token, shown per 1M tokens.
Price (per 1M tokens)
Min
Max
This model
339 models in this groupPrice (per 1M tokens)
- Min
- $0.04
- Avg
- $12.395447
- Max
- $750.00
This model: $1.365 / 1M tokens
Context length (tokens)
Min
Max
This model
339 models in this groupContext length (tokens)
- Min
- 4,095 tokens
- Avg
- 379,884.782 tokens
- Max
- 10,000,000 tokens
This model: 256,000 tokens
Capabilities
Text + Image → TextContext: 131,072 tokens
Input:
ImageText
Output:
Text