Model Comparison

Pixtral-12B vs Qwen2-VL-72B-Instruct

Qwen2-VL-72B-Instruct significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Pixtral-12B outperforms in 0 benchmarks, while Qwen2-VL-72B-Instruct is better at 1 benchmark (ChartQA).

Qwen2-VL-72B-Instruct significantly outperforms across most benchmarks.

Tue May 26 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

61.0B diff

Qwen2-VL-72B-Instruct has 61.0B more parameters than Pixtral-12B, making it 491.9% larger.

Mistral AI
Pixtral-12B
12.4Bparameters
Alibaba Cloud / Qwen Team
Qwen2-VL-72B-Instruct
73.4Bparameters
12.4B
Pixtral-12B
73.4B
Qwen2-VL-72B-Instruct

Context Window

Maximum input and output token capacity

Only Pixtral-12B specifies input context (128,000 tokens). Only Pixtral-12B specifies output context (8,192 tokens).

Mistral AI
Pixtral-12B
Input128,000 tokens
Output8,192 tokens
Alibaba Cloud / Qwen Team
Qwen2-VL-72B-Instruct
Input- tokens
Output- tokens
Tue May 26 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Pixtral-12B and Qwen2-VL-72B-Instruct support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Pixtral-12B

Text
Images
Audio
Video

Qwen2-VL-72B-Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Pixtral-12B is licensed under Apache 2.0, while Qwen2-VL-72B-Instruct uses tongyi-qianwen.

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

Pixtral-12B

Apache 2.0

Open weights

Qwen2-VL-72B-Instruct

tongyi-qianwen

Open weights

Release Timeline

When each model was launched

Pixtral-12B was released on 2024-09-17, while Qwen2-VL-72B-Instruct was released on 2024-08-29.

Pixtral-12B is 1 month newer than Qwen2-VL-72B-Instruct.

Pixtral-12B

Sep 17, 2024

1.7 years ago

2w newer
Qwen2-VL-72B-Instruct

Aug 29, 2024

1.7 years ago

Knowledge Cutoff

When training data ends

Qwen2-VL-72B-Instruct has a documented knowledge cutoff of 2023-06-30, while Pixtral-12B's cutoff date is not specified.

We can confirm Qwen2-VL-72B-Instruct's training data extends to 2023-06-30, but cannot make a direct comparison without Pixtral-12B's cutoff date.

Pixtral-12B

—

Qwen2-VL-72B-Instruct

Jun 2023

Outputs Comparison

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Key Takeaways

Mistral AI
Larger context window (128,000 tokens)
Alibaba Cloud / Qwen Team

Qwen2-VL-72B-Instruct

View details

Alibaba Cloud / Qwen Team

Higher ChartQA score (88.3% vs 81.8%)

Detailed Comparison

AI Model Comparison Table
Feature
Mistral AI
Pixtral-12B
Alibaba Cloud / Qwen Team
Qwen2-VL-72B-Instruct

FAQ

Common questions about Pixtral-12B vs Qwen2-VL-72B-Instruct.

Which is better, Pixtral-12B or Qwen2-VL-72B-Instruct?

Qwen2-VL-72B-Instruct significantly outperforms across most benchmarks. Pixtral-12B is made by Mistral AI and Qwen2-VL-72B-Instruct is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Pixtral-12B compare to Qwen2-VL-72B-Instruct in benchmarks?

Pixtral-12B scores DocVQA: 90.7%, ChartQA: 81.8%, VQAv2: 78.6%, MT-Bench: 76.8%, HumanEval: 72.0%. Qwen2-VL-72B-Instruct scores DocVQAtest: 96.5%, VCR_en_easy: 91.9%, ChartQA: 88.3%, OCRBench: 87.7%, MMBench: 86.5%.

What are the context window sizes for Pixtral-12B and Qwen2-VL-72B-Instruct?

Pixtral-12B supports 128K tokens and Qwen2-VL-72B-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-12B and Qwen2-VL-72B-Instruct?

Key differences include licensing (Apache 2.0 vs tongyi-qianwen). See the full comparison above for benchmark-by-benchmark results.

Who makes Pixtral-12B and Qwen2-VL-72B-Instruct?

Pixtral-12B is developed by Mistral AI and Qwen2-VL-72B-Instruct is developed by Alibaba Cloud / Qwen Team.