Model Comparison
Mistral Large 3 vs Qwen2.5 32B Instruct
Both models are evenly matched across the benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
Mistral Large 3 outperforms in 1 benchmarks (MATH), while Qwen2.5 32B Instruct is better at 1 benchmark (MMLU-Redux).
Both models are evenly matched across the 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 642.5B more parameters than Qwen2.5 32B Instruct, making it 1976.9% 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 Qwen2.5 32B 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
Qwen2.5 32B Instruct
License
Usage and distribution terms
Both models are licensed under Apache 2.0.
Both models share the same licensing terms, providing consistent usage rights.
Apache 2.0
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
Mistral Large 3 was released on 2025-09-01, while Qwen2.5 32B Instruct was released on 2024-09-19.
Mistral Large 3 is 12 months newer than Qwen2.5 32B Instruct.
Sep 1, 2025
7 months ago
11mo newerSep 19, 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
Qwen2.5 32B Instruct
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about Mistral Large 3 vs Qwen2.5 32B Instruct