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Mistral Large 3 vs Qwen2.5 32B Instruct

Mistral Large 3 and Qwen2.5 32B Instruct are closely matched at 10.4 and 7.7 on the LLM Stats Score.

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

Which is better?

Mistral Large 3 and Qwen2.5 32B Instruct are closely matched on the overall LLM Stats Score at 10.4 and 7.7.

The models split the 2 individual benchmarks reported for both models evenly.

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

Choose Mistral Large 3

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

Choose Qwen2.5 32B Instruct

  • you are already invested in the Alibaba Cloud / Qwen Team ecosystem

At a glance

The differences that matter most.

Core performance indexes
10.4
#279
7.7
#300
8.4
#289
7.1
#299
Cost, coverage & limits
Benchmark wins
1 of 2
1 of 2
Input price
$2.00 / M
— / M
Output price
$5.00 / M
— / M
Context window
128,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Mistral Large 3
Qwen2.5 32B Instruct
14.5#224
16.4#212
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

8 reported for Mistral Large 3 · 18 for Qwen2.5 32B Instruct

2 shared

Mistral Large 3 outperforms in 1 benchmarks (MATH), while Qwen2.5 32B Instruct is better at 1 benchmark (MMLU-Redux).

Both models are evenly matched across the benchmarks.

Fri Oct 09 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

642.5B diff

Mistral Large 3 has 642.5B more parameters than Qwen2.5 32B Instruct, making it 1976.9% larger.

Mistral AI
Mistral Large 3
675.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5 32B Instruct
32.5Bparameters
675.0B
Mistral Large 3
32.5B
Qwen2.5 32B Instruct

Context Window

Maximum input and output token capacity

Only Mistral Large 3 specifies input context (128,000 tokens). Only Mistral Large 3 specifies output context (8,192 tokens).

Mistral AI
Mistral Large 3
Input128,000 tokens
Output8,192 tokens
Alibaba Cloud / Qwen Team
Qwen2.5 32B Instruct
Input- tokens
Output- tokens
Fri Oct 09 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Mistral Large 3 supports multimodal inputs, whereas Qwen2.5 32B Instruct does not.

Mistral Large 3 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Mistral Large 3

Text
Images
Audio
Video

Qwen2.5 32B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under Apache 2.0.

Both models share the same licensing terms, providing consistent usage rights.

Mistral Large 3

Apache 2.0

Open weights

Qwen2.5 32B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Mistral Large 3 was released on 2025-09-01, while Qwen2.5 32B Instruct was released on 2024-09-19.

Mistral Large 3 is 12 months newer than Qwen2.5 32B Instruct.

Mistral Large 3

Sep 1, 2025

1.1 years ago

11mo newer
Qwen2.5 32B Instruct

Sep 19, 2024

2.1 years ago

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?

Judge for yourself.

Run your own prompts against Mistral Large 3 and Qwen2.5 32B Instruct side-by-side, then vote on the output you prefer.

Mistral Large 3
✓ Preferred
Qwen2.5 32B Instruct
Open in Playground

FAQ

Common questions about Mistral Large 3 vs Qwen2.5 32B Instruct.

Which is better, Mistral Large 3 or Qwen2.5 32B Instruct?

Mistral Large 3 and Qwen2.5 32B Instruct are closely matched on the LLM Stats Score at 10.4 and 7.7. Mistral Large 3 is made by Mistral AI and Qwen2.5 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 3 compare to Qwen2.5 32B Instruct in benchmarks?

Mistral Large 3 scores MATH: 90.4%, MM-MT-Bench: 84.9%, MMLU-Redux: 82.0%, TriviaQA: 74.9%, MMMLU: 74.2%. Qwen2.5 32B Instruct scores GSM8k: 95.9%, HumanEval: 88.4%, HellaSwag: 85.2%, BBH: 84.5%, MBPP: 84.0%.

What are the context window sizes for Mistral Large 3 and Qwen2.5 32B Instruct?

Mistral Large 3 supports 128K tokens and Qwen2.5 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 3 and Qwen2.5 32B Instruct?

Key differences include LLM Stats Score (10.4 vs 7.7), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.

Who makes Mistral Large 3 and Qwen2.5 32B Instruct?

Mistral Large 3 is developed by Mistral AI and Qwen2.5 32B Instruct is developed by Alibaba Cloud / Qwen Team.