Comprehensive side-by-side LLM comparison
Qwen2.5 7B Instruct leads with 30.0% higher average benchmark score. Mistral Large 2 offers 116.7K more tokens in context window than Qwen2.5 7B Instruct. Qwen2.5 7B Instruct is $7.40 cheaper per million tokens. Overall, Qwen2.5 7B Instruct is the stronger choice for coding tasks.
Mistral AI
Mistral Large 2 is a language model developed by Mistral AI. This model demonstrates exceptional performance with an average score of 87.6% across 5 benchmarks. It excels particularly in GSM8k (93.0%), HumanEval (92.0%), MT-Bench (86.3%). It supports a 256K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, it represents Mistral AI's latest advancement in AI technology.
Alibaba Cloud / Qwen Team
Qwen2.5 7B Instruct is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 65.6% across 14 benchmarks. It excels particularly in GSM8k (91.6%), MT-Bench (87.5%), HumanEval (84.8%). It supports a 139K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
1 month newer
Mistral Large 2
Mistral AI
2024-07-24
Qwen2.5 7B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
Cost per million tokens (USD)
Mistral Large 2
Qwen2.5 7B Instruct
Context window and performance specifications
Average performance across 16 common benchmarks
Mistral Large 2
Qwen2.5 7B Instruct
Available providers and their performance metrics
Mistral Large 2
Mistral AI
Mistral Large 2
Qwen2.5 7B Instruct
Mistral Large 2
Qwen2.5 7B Instruct
Qwen2.5 7B Instruct
Together