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QwenQwen 2.5Open SourceMar 24, 2025

Qwen: Qwen2.5 VL 32B Instruct

Qwen2.5-VL-32B is a multimodal vision-language model fine-tuned through reinforcement learning for enhanced mathematical reasoning, structured outputs, and visual problem-solving capabilities. It excels at visual analysis tasks, including object recognition, textual interpretation within images, and precise event localization in extended videos. Qwen2.5-VL-32B demonstrates state-of-the-art performance across multimodal benchmarks such as MMMU, MathVista, and VideoMME, while maintaining strong reasoning and clarity in text-based tasks like MMLU, mathematical problem-solving, and code generation.

Context Window
16K
tokens
Max Output
16K
tokens
Released
Mar 24, 2025
Arena Rank
—

Capabilities

👁Vision
🧠Reasoning
🔧Tool Calling
⚡Prompt Caching
🖥Computer Use
🎨Image Generation

Supported Parameters

Frequency Penalty
Reduce repetition
Max Tokens
Output length limit
min_p
Presence Penalty
Encourage new topics
Repetition Penalty
Penalize repeated tokens
Response Format
JSON mode / structured output
Seed
Deterministic outputs
Stop Sequences
Custom stop tokens
structured_outputs
Temperature
Controls randomness
Top K
Top-K sampling
Top P
Nucleus sampling

Pricing Comparison

RouterInput / 1MOutput / 1MCached Input / 1M
OpenRouter$0.05$0.22$0.02
Martian$0.05$0.22$0.02
DeepInfra$0.20$0.60—

Model IDs

OpenRouterqwen/qwen2.5-vl-32b-instruct
Hugging FaceQwen/Qwen2.5-VL-32B-Instruct ↗

Tags

vision
Compare with another model

Compare with…

Qwen3 Embedding 8BQwen/Qwen2.5 Coder 32B InstructQwen3 30b A3b Instruct 2507

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