Qwen: Qwen2.5 VL 32B Instruct

By Qwen

Released: 2025-03-24

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API

LLM

General

Qwen

Paid

New

Qwen Qwen2 5 Vl 32B Instruct, developed by Alibaba Qwen, features 32B parameters. 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. Priced affordably at $0.05/1M tokens.

Visit Qwen: Qwen2.5 VL 32B Instruct

AI-Powered

Leverages advanced AI technology to deliver cutting-edge capabilities and results.

Fast & Efficient

Optimized performance ensures quick results without compromising on quality.

Purpose-Built

Specifically designed for llms tasks and workflows.

Qwen Model Timeline

23 Oct 2025Qwen: Qwen3 VL 32B Instruct

262k tokens context

14 Oct 2025Qwen: Qwen3 VL 8B Thinking

256k tokens context

14 Oct 2025Qwen: Qwen3 VL 8B Instruct

131k tokens context

6 Oct 2025Qwen: Qwen3 VL 30B A3B Thinking

131k tokens context

6 Oct 2025Qwen: Qwen3 VL 30B A3B Instruct

262k tokens context

23 Sept 2025Qwen: Qwen3 VL 235B A22B Thinking

262k tokens context

23 Sept 2025Qwen: Qwen3 VL 235B A22B Instruct

262k tokens context

23 Sept 2025Qwen: Qwen3 Max

256k tokens context

23 Sept 2025Qwen: Qwen3 Coder Plus

128k tokens context

17 Sept 2025Qwen: Qwen3 Coder Flash

128k tokens context

11 Sept 2025Qwen: Qwen3 Next 80B A3B Thinking

128k tokens context

11 Sept 2025Qwen: Qwen3 Next 80B A3B Instruct (free)

262k tokens context

11 Sept 2025Qwen: Qwen3 Next 80B A3B Instruct

262k tokens context

8 Sept 2025Qwen: Qwen Plus 0728

1,000k tokens context

8 Sept 2025Qwen: Qwen Plus 0728 (thinking)

1,000k tokens context

28 Aug 2025Qwen: Qwen3 30B A3B Thinking 2507

33k tokens context

31 Jul 2025Qwen: Qwen3 Coder 30B A3B Instruct

160k tokens context

29 Jul 2025Qwen: Qwen3 30B A3B Instruct 2507

262k tokens context

25 Jul 2025Qwen: Qwen3 235B A22B Thinking 2507

262k tokens context

23 Jul 2025Qwen: Qwen3 Coder 480B A35B (free)

262k tokens context

23 Jul 2025Qwen: Qwen3 Coder 480B A35B

262k tokens context

23 Jul 2025Qwen: Qwen3 Coder 480B A35B (exacto)

262k tokens context

21 Jul 2025Qwen: Qwen3 235B A22B Instruct 2507

262k tokens context

30 Apr 2025Qwen: Qwen3 4B (free)

41k tokens context

28 Apr 2025Qwen: Qwen3 30B A3B

41k tokens context

28 Apr 2025Qwen: Qwen3 8B

32k tokens context

28 Apr 2025Qwen: Qwen3 14B

41k tokens context

28 Apr 2025Qwen: Qwen3 32B

41k tokens context

28 Apr 2025Qwen: Qwen3 235B A22B

41k tokens context

15 Apr 2025Qwen: Qwen2.5 Coder 7B Instruct

33k tokens context

24 Mar 2025

Qwen: Qwen2.5 VL 32B InstructCurrent

16k tokens context

5 Mar 2025Qwen: QwQ 32B

33k tokens context

5 Feb 2025Qwen: Qwen VL Plus

8k tokens context

1 Feb 2025Qwen: Qwen VL Max

131k tokens context

1 Feb 2025Qwen: Qwen-Turbo

1,000k tokens context

1 Feb 2025Qwen: Qwen2.5 VL 72B Instruct

33k tokens context

1 Feb 2025Qwen: Qwen-Plus

131k tokens context

1 Feb 2025Qwen: Qwen-Max

33k tokens context

11 Nov 2024Qwen2.5 Coder 32B Instruct

33k tokens context

16 Oct 2024Qwen: Qwen2.5 7B Instruct

33k tokens context

19 Sept 2024Qwen2.5 72B Instruct

33k tokens context

28 Aug 2024Qwen: Qwen2.5-VL 7B Instruct (free)

33k tokens context

28 Aug 2024Qwen: Qwen2.5-VL 7B Instruct

33k tokens context

Specifications

pricing$0.05 / $0.22 (per 1M)

context Window16k tokens

AI Evaluation

4.2

Expert Rating

Text4.5/5

Coding3.5/5

Built for deep analytical thinking and multi-step problem solving. Excels at tasks requiring careful logical reasoning and systematic analysis.

Pros

Budget-friendly at $0.05/1M tokens
Advanced logical reasoning
Image and visual analysis
Video content understanding

Cons

API integration required
May need prompt tuning

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