Model Comparison

Pixtral Large vs Qwen2-VL-72B-InstructWhich is better in 2026?

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

Verdict: Pixtral Large vs Qwen2-VL-72B-Instruct — which is better?

Pixtral Large (by Mistral AI) and Qwen2-VL-72B-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.

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

Choose Pixtral Large if…

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

Choose Qwen2-VL-72B-Instruct if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

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

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

Thu Jul 30 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

50.6B diff

Pixtral Large has 50.6B more parameters than Qwen2-VL-72B-Instruct, making it 68.9% larger.

Mistral AI
Pixtral Large
124.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2-VL-72B-Instruct
73.4Bparameters
124.0B
Pixtral Large
73.4B
Qwen2-VL-72B-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-VL-72B-Instruct
Input- tokens
Output- tokens
Thu Jul 30 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

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

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

Pixtral Large

Text
Images
Audio
Video

Qwen2-VL-72B-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-VL-72B-Instruct uses tongyi-qianwen.

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-VL-72B-Instruct

tongyi-qianwen

Open weights

Release Timeline

When each model was launched

Pixtral Large was released on 2024-11-18, while Qwen2-VL-72B-Instruct was released on 2024-08-29.

Pixtral Large is 3 months newer than Qwen2-VL-72B-Instruct.

Pixtral Large

Nov 18, 2024

1.7 years ago

2mo newer
Qwen2-VL-72B-Instruct

Aug 29, 2024

1.9 years ago

Knowledge Cutoff

When training data ends

Qwen2-VL-72B-Instruct has a documented knowledge cutoff of 2023-06-30, while Pixtral Large'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 Large's cutoff date.

Pixtral Large

Qwen2-VL-72B-Instruct

Jun 2023

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

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 88.1%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Pixtral Large and Qwen2-VL-72B-Instruct side-by-side, then vote on the output you prefer.

Pixtral Large
✓ Preferred
Qwen2-VL-72B-Instruct
Open in Playground
AI Model Comparison Table
Feature
Mistral AI
Pixtral Large
Alibaba Cloud / Qwen Team
Qwen2-VL-72B-Instruct

FAQ

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

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

Qwen2-VL-72B-Instruct significantly outperforms across most benchmarks. Pixtral Large 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 Large compare to Qwen2-VL-72B-Instruct in benchmarks?

Pixtral Large scores AI2D: 93.8%, DocVQA: 93.3%, ChartQA: 88.1%, VQAv2: 80.9%, MM-MT-Bench: 74.0%. 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 Large and Qwen2-VL-72B-Instruct?

Pixtral Large 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 Large and Qwen2-VL-72B-Instruct?

Key differences include licensing (Mistral Research License (MRL) for research; Mistral Commercial License for commercial use vs tongyi-qianwen). See the full comparison above for benchmark-by-benchmark results.

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

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