Model Comparison
Mistral Large 2 vs Qwen2.5 32B Instruct
Mistral Large 2 shows notably better performance in the majority of benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
Mistral Large 2 outperforms in 2 benchmarks (HumanEval, MMLU), while Qwen2.5 32B Instruct is better at 1 benchmark (GSM8k).
Mistral Large 2 shows notably better performance in the majority of benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
Model Size
Parameter count comparison
Mistral Large 2 has 90.5B more parameters than Qwen2.5 32B Instruct, making it 278.5% larger.
Context Window
Maximum input and output token capacity
Only Mistral Large 2 specifies input context (128,000 tokens). Only Mistral Large 2 specifies output context (128,000 tokens).
License
Usage and distribution terms
Mistral Large 2 is licensed under Mistral Research License, while Qwen2.5 32B Instruct uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Mistral Research License
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
Mistral Large 2 was released on 2024-07-24, while Qwen2.5 32B Instruct was released on 2024-09-19.
Qwen2.5 32B Instruct is 2 months newer than Mistral Large 2.
Jul 24, 2024
1.7 years ago
Sep 19, 2024
1.6 years ago
1mo newerKnowledge 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 2
View detailsMistral AI
Qwen2.5 32B Instruct
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about Mistral Large 2 vs Qwen2.5 32B Instruct