Mistral Large 3 vs Qwen2 72B Instruct Comparison
Comparing Mistral Large 3 and Qwen2 72B Instruct across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
Mistral Large 3 outperforms in 1 benchmarks (MATH), while Qwen2 72B Instruct is better at 0 benchmarks.
Mistral Large 3 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
Model Size
Parameter count comparison
Mistral Large 3 has 603.0B more parameters than Qwen2 72B Instruct, making it 837.5% larger.
Context Window
Maximum input and output token capacity
Only Mistral Large 3 specifies input context (128,000 tokens). Only Mistral Large 3 specifies output context (8,192 tokens).
Input Capabilities
Supported data types and modalities
Mistral Large 3 supports multimodal inputs, whereas Qwen2 72B Instruct does not.
Mistral Large 3 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Mistral Large 3
Qwen2 72B Instruct
License
Usage and distribution terms
Mistral Large 3 is licensed under Apache 2.0, while Qwen2 72B Instruct uses tongyi-qianwen.
License differences may affect how you can use these models in commercial or open-source projects.
Apache 2.0
Open weights
tongyi-qianwen
Open weights
Release Timeline
When each model was launched
Mistral Large 3 was released on 2025-09-01, while Qwen2 72B Instruct was released on 2024-07-23.
Mistral Large 3 is 14 months newer than Qwen2 72B Instruct.
Sep 1, 2025
6 months ago
1.1yr newerJul 23, 2024
1.6 years ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Key Takeaways
Mistral Large 3
View detailsMistral AI
Qwen2 72B Instruct
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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