qwenmodel

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...

text vision multimodal reasoning instruct cheap long-context

Best for

Image UnderstandingVisual Q&AOCRMultimodal Tasks

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Context Window

128K tokens ≈ 284 pages of text

Input Cost

$0.20/1M

Output Cost

$0.60/1M

Latency p50

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Pricing Details

Standard Pricing

Input (per 1M tokens)

$0.20

Output (per 1M tokens)

$0.60

Price history

4/16/2026$0.20 in / $0.60 out

4/12/2026$0.20 in / $0.60 out

Hallucination Score™ (est.)

Community reliability estimate · not official

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Not yet rated

About this score: Community-estimated based on user reports and publicly available benchmark data (e.g. TruthfulQA). This is not an official score from the model provider. Scores may be inaccurate — always verify with the official leaderboard before making production decisions.

Price HistoryPro

Input & output cost per 1M tokens over time

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Provider

qwen

Usage & Examples

Learn how to use Qwen: Qwen2.5 VL 32B Instruct

✓Complex reasoning and analysis

✓Customer support automation

✓Content generation and editing

✓Code review and debugging

✓Research summarization

💡 Tip: Start with the sample prompts above to see how Qwen: Qwen2.5 VL 32B Instruct works best.

Community Prompts

Proven prompts shared by the community for this model

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