Model Comparison

Mistral Large 3 (675B Instruct 2512 NVFP4) vs Qwen2.5 VL 72B Instruct

Comparing Mistral Large 3 (675B Instruct 2512 NVFP4) and Qwen2.5 VL 72B Instruct across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Mistral Large 3 (675B Instruct 2512 NVFP4) and Qwen2.5 VL 72B Instruct don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Thu Apr 16 2026 • llm-stats.com
Mistral AI
Mistral Large 3 (675B Instruct 2512 NVFP4)
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Alibaba Cloud / Qwen Team
Qwen2.5 VL 72B Instruct
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
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Model Size

Parameter count comparison

603.0B diff

Mistral Large 3 (675B Instruct 2512 NVFP4) has 603.0B more parameters than Qwen2.5 VL 72B Instruct, making it 837.5% larger.

Mistral AI
Mistral Large 3 (675B Instruct 2512 NVFP4)
675.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5 VL 72B Instruct
72.0Bparameters
675.0B
Mistral Large 3 (675B Instruct 2512 NVFP4)
72.0B
Qwen2.5 VL 72B Instruct

Input Capabilities

Supported data types and modalities

Both Mistral Large 3 (675B Instruct 2512 NVFP4) and Qwen2.5 VL 72B Instruct support multimodal inputs.

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

Mistral Large 3 (675B Instruct 2512 NVFP4)

Text
Images
Audio
Video

Qwen2.5 VL 72B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Mistral Large 3 (675B Instruct 2512 NVFP4) is licensed under Apache 2.0, while Qwen2.5 VL 72B Instruct uses tongyi-qianwen.

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

Mistral Large 3 (675B Instruct 2512 NVFP4)

Apache 2.0

Open weights

Qwen2.5 VL 72B Instruct

tongyi-qianwen

Open weights

Release Timeline

When each model was launched

Mistral Large 3 (675B Instruct 2512 NVFP4) was released on 2025-12-04, while Qwen2.5 VL 72B Instruct was released on 2025-01-26.

Mistral Large 3 (675B Instruct 2512 NVFP4) is 10 months newer than Qwen2.5 VL 72B Instruct.

Mistral Large 3 (675B Instruct 2512 NVFP4)

Dec 4, 2025

4 months ago

10mo newer
Qwen2.5 VL 72B Instruct

Jan 26, 2025

1.2 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

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Key Takeaways

Detailed Comparison

FAQ

Common questions about Mistral Large 3 (675B Instruct 2512 NVFP4) vs Qwen2.5 VL 72B Instruct

Mistral Large 3 (675B Instruct 2512 NVFP4) (Mistral AI) and Qwen2.5 VL 72B 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.
Mistral Large 3 (675B Instruct 2512 NVFP4) scores MMMLU: 85.5%, AMC_2022_23: 52.0%, GPQA: 43.9%, LiveCodeBench: 34.4%, SimpleQA: 23.8%. Qwen2.5 VL 72B Instruct scores DocVQA: 96.4%, Android Control Low_EM: 93.7%, ChartQA: 89.5%, OCRBench: 88.5%, AI2D: 88.4%.
Key differences include licensing (Apache 2.0 vs tongyi-qianwen). See the full comparison above for benchmark-by-benchmark results.
Mistral Large 3 (675B Instruct 2512 NVFP4) is developed by Mistral AI and Qwen2.5 VL 72B Instruct is developed by Alibaba Cloud / Qwen Team.