Model Comparison

Pixtral Large vs Qwen2.5 32B InstructWhich is better in 2026?

Comparing Pixtral Large and Qwen2.5 32B Instruct across benchmarks, pricing, and capabilities.

Verdict: Pixtral Large vs Qwen2.5 32B Instruct — which is better?

Pixtral Large (by Mistral AI) and Qwen2.5 32B Instruct (by Alibaba Cloud / Qwen Team) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Choose Pixtral Large if…

  • you want the most recent training data — it shipped Nov 2024

Choose Qwen2.5 32B Instruct if…

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

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Pixtral Large and Qwen2.5 32B Instructdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Model Size

Parameter count comparison

91.5B diff

Pixtral Large has 91.5B more parameters than Qwen2.5 32B Instruct, making it 281.5% larger.

Mistral AI
Pixtral Large
124.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5 32B Instruct
32.5Bparameters
124.0B
Pixtral Large
32.5B
Qwen2.5 32B Instruct

Context Window

Maximum input and output token capacity

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

Mistral AI
Pixtral Large
Input128,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen2.5 32B Instruct
Input- tokens
Output- tokens
Mon Jul 27 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

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

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

Pixtral Large

Text
Images
Audio
Video

Qwen2.5 32B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Pixtral Large is licensed under Mistral Research License (MRL) for research; Mistral Commercial License for commercial use, while Qwen2.5 32B Instruct uses Apache 2.0.

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

Pixtral Large

Mistral Research License (MRL) for research; Mistral Commercial License for commercial use

Open weights

Qwen2.5 32B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Pixtral Large was released on 2024-11-18, while Qwen2.5 32B Instruct was released on 2024-09-19.

Pixtral Large is 2 months newer than Qwen2.5 32B Instruct.

Pixtral Large

Nov 18, 2024

1.7 years ago

2mo newer
Qwen2.5 32B Instruct

Sep 19, 2024

1.8 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?Start an Issue discussion

Key Takeaways

Larger context window (128,000 tokens)
Supports multimodal inputs
Alibaba Cloud / Qwen Team

Qwen2.5 32B Instruct

View details

Alibaba Cloud / Qwen Team

No standout differentiators in the data we have for this pair.

Detailed Comparison

Interactive Arena

Judge for yourself.

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

Pixtral Large
✓ Preferred
Qwen2.5 32B Instruct
Open in Playground
AI Model Comparison Table
Feature
Mistral AI
Pixtral Large
Alibaba Cloud / Qwen Team
Qwen2.5 32B Instruct

FAQ

Common questions about Pixtral Large vs Qwen2.5 32B Instruct.

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

Pixtral Large (Mistral AI) and Qwen2.5 32B Instruct (Alibaba Cloud / Qwen Team) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Pixtral Large compare to Qwen2.5 32B Instruct in benchmarks?

Pixtral Large scores AI2D: 93.8%, DocVQA: 93.3%, ChartQA: 88.1%, VQAv2: 80.9%, MM-MT-Bench: 74.0%. 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 Pixtral Large and Qwen2.5 32B Instruct?

Pixtral Large 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 Pixtral Large and Qwen2.5 32B Instruct?

Key differences include multimodal support (yes vs no), licensing (Mistral Research License (MRL) for research; Mistral Commercial License for commercial use vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Pixtral Large and Qwen2.5 32B Instruct?

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