Model Comparison

Mistral Large 3 (675B Instruct 2512) vs Qwen2-VL-72B-Instruct

Comparing Mistral Large 3 (675B Instruct 2512) and Qwen2-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) and Qwen2-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
Tue Apr 14 2026 • llm-stats.com
Mistral AI
Mistral Large 3 (675B Instruct 2512)
Input tokens$0.50
Output tokens$1.50
Best providerMistral
Alibaba Cloud / Qwen Team
Qwen2-VL-72B-Instruct
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
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Model Size

Parameter count comparison

601.6B diff

Mistral Large 3 (675B Instruct 2512) has 601.6B more parameters than Qwen2-VL-72B-Instruct, making it 819.6% larger.

Mistral AI
Mistral Large 3 (675B Instruct 2512)
675.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2-VL-72B-Instruct
73.4Bparameters
675.0B
Mistral Large 3 (675B Instruct 2512)
73.4B
Qwen2-VL-72B-Instruct

Context Window

Maximum input and output token capacity

Only Mistral Large 3 (675B Instruct 2512) specifies input context (262,100 tokens). Only Mistral Large 3 (675B Instruct 2512) specifies output context (262,100 tokens).

Mistral AI
Mistral Large 3 (675B Instruct 2512)
Input262,100 tokens
Output262,100 tokens
Alibaba Cloud / Qwen Team
Qwen2-VL-72B-Instruct
Input- tokens
Output- tokens
Tue Apr 14 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Mistral Large 3 (675B Instruct 2512) and Qwen2-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)

Text
Images
Audio
Video

Qwen2-VL-72B-Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Mistral Large 3 (675B Instruct 2512) 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.

Mistral Large 3 (675B Instruct 2512)

Apache 2.0

Open weights

Qwen2-VL-72B-Instruct

tongyi-qianwen

Open weights

Release Timeline

When each model was launched

Mistral Large 3 (675B Instruct 2512) was released on 2025-12-04, while Qwen2-VL-72B-Instruct was released on 2024-08-29.

Mistral Large 3 (675B Instruct 2512) is 15 months newer than Qwen2-VL-72B-Instruct.

Mistral Large 3 (675B Instruct 2512)

Dec 4, 2025

4 months ago

1.3yr newer
Qwen2-VL-72B-Instruct

Aug 29, 2024

1.6 years ago

Knowledge Cutoff

When training data ends

Qwen2-VL-72B-Instruct has a documented knowledge cutoff of 2023-06-30, while Mistral Large 3 (675B Instruct 2512)'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 Mistral Large 3 (675B Instruct 2512)'s cutoff date.

Mistral Large 3 (675B Instruct 2512)

Qwen2-VL-72B-Instruct

Jun 2023

Outputs Comparison

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Key Takeaways

Larger context window (262,100 tokens)
Alibaba Cloud / Qwen Team

Qwen2-VL-72B-Instruct

View details

Alibaba Cloud / Qwen Team

Detailed Comparison

FAQ

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

Mistral Large 3 (675B Instruct 2512) (Mistral AI) and Qwen2-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) scores MMMLU: 85.5%, AMC_2022_23: 52.0%, GPQA: 43.9%, LiveCodeBench: 34.4%, SimpleQA: 23.8%. Qwen2-VL-72B-Instruct scores DocVQAtest: 96.5%, VCR_en_easy: 91.9%, ChartQA: 88.3%, OCRBench: 87.7%, MMBench_test: 86.5%.
Mistral Large 3 (675B Instruct 2512) supports 262K 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.
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) is developed by Mistral AI and Qwen2-VL-72B-Instruct is developed by Alibaba Cloud / Qwen Team.