Model Comparison
Mistral Small 3.1 24B Instruct vs Qwen2.5 32B Instruct
Qwen2.5 32B Instruct significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
Mistral Small 3.1 24B Instruct outperforms in 1 benchmarks (HumanEval), while Qwen2.5 32B Instruct is better at 5 benchmarks (GPQA, MATH, MBPP, MMLU, MMLU-Pro).
Qwen2.5 32B Instruct 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
Qwen2.5 32B Instruct has 8.5B more parameters than Mistral Small 3.1 24B Instruct, making it 35.4% larger.
Input Capabilities
Supported data types and modalities
Mistral Small 3.1 24B Instruct supports multimodal inputs, whereas Qwen2.5 32B Instruct does not.
Mistral Small 3.1 24B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.
Mistral Small 3.1 24B Instruct
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 Small 3.1 24B Instruct was released on 2025-03-17, while Qwen2.5 32B Instruct was released on 2024-09-19.
Mistral Small 3.1 24B Instruct is 6 months newer than Qwen2.5 32B Instruct.
Mar 17, 2025
1.1 years ago
5mo 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
Qwen2.5 32B Instruct
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about Mistral Small 3.1 24B Instruct vs Qwen2.5 32B Instruct