Model Comparison
Mistral Large 2 vs Qwen2.5-Coder 7B Instruct
Mistral Large 2 significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
Mistral Large 2 outperforms in 3 benchmarks (GSM8k, HumanEval, MMLU), while Qwen2.5-Coder 7B Instruct is better at 0 benchmarks.
Mistral Large 2 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 2 has 116.0B more parameters than Qwen2.5-Coder 7B Instruct, making it 1657.1% 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-Coder 7B 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-Coder 7B Instruct was released on 2024-09-19.
Qwen2.5-Coder 7B 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-Coder 7B Instruct
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about Mistral Large 2 vs Qwen2.5-Coder 7B Instruct