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Mistral Large 2 vs Qwen2.5 VL 32B Instruct

Mistral Large 2 and Qwen2.5 VL 32B Instruct are closely matched at 7.7 and 9.9 on the LLM Stats Score.

Mistral AI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Mistral Large 2 and Qwen2.5 VL 32B Instruct are closely matched on the overall LLM Stats Score at 7.7 and 9.9.

In the 2 individual benchmarks reported for both models, Mistral Large 2 wins 2; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Mistral Large 2

  • you value its reported benchmark strengths — it wins 2 of 2 exact shared results

Choose Qwen2.5 VL 32B Instruct

  • you want the most recent training data — it shipped Feb 2025

At a glance

The differences that matter most.

Core performance indexes
7.7
#275
9.9
#257
7.7
#268
8.6
#259
13.1
#130
12.5
#140
Cost, coverage & limits
Benchmark wins
2 of 2
0 of 2
Input price
$2.00 / M
— / M
Output price
$6.00 / M
— / M
Context window
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Mistral Large 2
Qwen2.5 VL 32B Instruct
11.8#230
11.8#231
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

5 reported for Mistral Large 2 · 28 for Qwen2.5 VL 32B Instruct

2 shared

Mistral Large 2 outperforms in 2 benchmarks (HumanEval, MMLU), while Qwen2.5 VL 32B Instruct is better at 0 benchmarks.

Mistral Large 2 significantly outperforms across most benchmarks.

Fri Sep 04 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

89.5B diff

Mistral Large 2 has 89.5B more parameters than Qwen2.5 VL 32B Instruct, making it 267.2% larger.

Mistral AI
Mistral Large 2
123.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5 VL 32B Instruct
33.5Bparameters
123.0B
Mistral Large 2
33.5B
Qwen2.5 VL 32B Instruct

Context Window

Maximum input and output token capacity

Only Mistral Large 2 specifies input context (128,000 tokens). Only Mistral Large 2 specifies output context (128,000 tokens).

Mistral AI
Mistral Large 2
Input128,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen2.5 VL 32B Instruct
Input- tokens
Output- tokens
Fri Sep 04 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Qwen2.5 VL 32B Instruct supports multimodal inputs, whereas Mistral Large 2 does not.

Qwen2.5 VL 32B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

Mistral Large 2

Text
Images
Audio
Video

Qwen2.5 VL 32B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Mistral Large 2 is licensed under Mistral Research License, while Qwen2.5 VL 32B Instruct uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

Mistral Large 2

Mistral Research License

Open weights

Qwen2.5 VL 32B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Mistral Large 2 was released on 2024-07-24, while Qwen2.5 VL 32B Instruct was released on 2025-02-28.

Qwen2.5 VL 32B Instruct is 7 months newer than Mistral Large 2.

Mistral Large 2

Jul 24, 2024

2.1 years ago

Qwen2.5 VL 32B Instruct

Feb 28, 2025

1.5 years ago

7mo newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Mistral Large 2 and Qwen2.5 VL 32B Instruct side-by-side, then vote on the output you prefer.

Mistral Large 2
✓ Preferred
Qwen2.5 VL 32B Instruct
Open in Playground

FAQ

Common questions about Mistral Large 2 vs Qwen2.5 VL 32B Instruct.

Which is better, Mistral Large 2 or Qwen2.5 VL 32B Instruct?

Mistral Large 2 and Qwen2.5 VL 32B Instruct are closely matched on the LLM Stats Score at 7.7 and 9.9. Mistral Large 2 is made by Mistral AI and Qwen2.5 VL 32B Instruct is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Mistral Large 2 compare to Qwen2.5 VL 32B Instruct in benchmarks?

Mistral Large 2 scores GSM8k: 93.0%, HumanEval: 92.0%, MT-Bench: 86.3%, MMLU: 84.0%, MMLU French: 82.8%. Qwen2.5 VL 32B Instruct scores DocVQA: 94.8%, Android Control Low_EM: 93.3%, HumanEval: 91.5%, ScreenSpot: 88.5%, MBPP: 84.0%.

What are the context window sizes for Mistral Large 2 and Qwen2.5 VL 32B Instruct?

Mistral Large 2 supports 128K tokens and Qwen2.5 VL 32B Instruct supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Mistral Large 2 and Qwen2.5 VL 32B Instruct?

Key differences include LLM Stats Score (7.7 vs 9.9), multimodal support (no vs yes), licensing (Mistral Research License vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Mistral Large 2 and Qwen2.5 VL 32B Instruct?

Mistral Large 2 is developed by Mistral AI and Qwen2.5 VL 32B Instruct is developed by Alibaba Cloud / Qwen Team.