Qwen2.5 VL 32B Instruct

Name: Qwen2.5 VL 32B Instruct
Rating: 52.0 (503 reviews)
Author: Qwen

#672MultimodalOpen Weights

Qwen

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...

Running this yourself: likely needs a rented cloud gpu.

Model updates refreshed50m agoOct 3, 2026news + changelog

Website View Updates View Plan

Rates & subscription access

View full pricing details

Tracked access rates

Current rates are not verified. Missing pricing does not mean free usage.

Related provider subscriptions

No current subscription pricing is tracked for this model.

Confirm this specific model, usage limits, and billing terms with the provider. A subscription does not automatically include API credits.

No login needed to compare. Prices are in USD; provider charges are separate from AI Market Cap plans. Context length, caching, tools, taxes, and regional terms can change the final cost. Open weights do not mean free hosting.

52.0

Quality Score

1119

Arena ELO

33B

Parameters

128K

Context

Evidence profile

How complete is this record?

This measures the amount of verifiable public evidence we have, not how capable the model is. A missing field means it has not been verified yet, not that its value is zero.

86%

coverage

Strong evidence

19 of 22 public signals

Technical profile100%

Benchmarks and Competitive Signal

Structured

Use this section to answer one simple question first: how much outside evidence do we have that this model performs well? Structured benchmark scores appear first, then official provider evidence, then live arena signal.

This model has normalized benchmark rows, so scores here are directly comparable across benchmark sources.

MMMUmultimodal

68.9

Similar Models

Discussion (0)

Loading comments...

Official Benchmark Evidence

These are recent benchmark or leaderboard claims from official provider sources. They are useful for freshness and context, but they are not treated the same as normalized independent benchmark rows.

https://huggingface.co/Qwen/Qwen3-Coder-480B-A35B-Instruct - SWE-Bench Verified

Benchmarksswe-benchMar 27, 2026

SWE-Bench Verified resolved rate 69.6

View source

https://huggingface.co/Qwen/Qwen3-Coder-480B-A35B-Instruct - SWE-Bench Verified

Benchmarksswe-benchMar 24, 2026

SWE-Bench Verified resolved rate 69.6

View source

Qwen2.5-VL-32B - Open VLM Leaderboard #32

Benchmarksopen-vlm-leaderboardJul 2, 2025

View source

Qwen2.5-VL-32B - Open VLM Leaderboard #32