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Qwentext+image->text

Qwen: Qwen3 VL 8B Thinking

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.

Context Window

256K

Input Price

$0.1800/M tokens

Output Price

$2.10/M tokens

Modality

text+image->text

Pricing Breakdown
Cost per million tokens for input and output
Input$0.1800/M tokens
Output$2.10/M tokens

Cost Example: Processing 10,000 input tokens and generating 1,000 output tokens would cost approximately $0.003900

Context Window Size
Maximum tokens the model can process in a single request
Context Window256K tokens
26% of 1M max

~192K

Words Equivalent

~128

Pages of Text

~2560

Code Functions

Best Use Cases
What this model excels at
MathReasoningAnalysisVisionImage-analysisMultimodalData-analysisAnalyticsResearchAcademic

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