Comprehensive side-by-side LLM comparison
Qwen2.5 7B Instruct leads with 25.9% higher average benchmark score. Kimi K2 0905 offers 385.0K more tokens in context window than Qwen2.5 7B Instruct. Qwen2.5 7B Instruct is $2.50 cheaper per million tokens. Overall, Qwen2.5 7B Instruct is the stronger choice for coding tasks.
Moonshot AI
Kimi K2 0905 is a language model developed by Moonshot AI. This model demonstrates exceptional performance with an average score of 84.0% across 6 benchmarks. It excels particularly in HumanEval (94.5%), MMLU (90.2%), MATH (89.1%). It supports a 524K token context window for handling large documents. The model is available through 2 API providers. Released in 2025, it represents Moonshot 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.
11 months newer
Qwen2.5 7B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
Kimi K2 0905
Moonshot AI
2025-09-05
Cost per million tokens (USD)
Kimi K2 0905
Qwen2.5 7B Instruct
Context window and performance specifications
Average performance across 16 common benchmarks
Kimi K2 0905
Qwen2.5 7B Instruct
Available providers and their performance metrics
Kimi K2 0905
Novita
ZeroEval
Qwen2.5 7B Instruct
Kimi K2 0905
Qwen2.5 7B Instruct
Kimi K2 0905
Qwen2.5 7B Instruct
Together