Comprehensive side-by-side LLM comparison
Qwen2.5-Coder 32B Instruct leads with 27.6% higher average benchmark score. Kimi K2 0905 offers 268.3K more tokens in context window than Qwen2.5-Coder 32B Instruct. Qwen2.5-Coder 32B Instruct is $2.92 cheaper per million tokens. Qwen2.5-Coder 32B Instruct is available on 4 providers. Overall, Qwen2.5-Coder 32B 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-Coder 32B Instruct is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 64.9% across 15 benchmarks. It excels particularly in HumanEval (92.7%), GSM8k (91.1%), MBPP (90.2%). It supports a 256K token context window for handling large documents. The model is available through 4 API providers. 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-Coder 32B 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-Coder 32B Instruct
Context window and performance specifications
Average performance across 17 common benchmarks
Kimi K2 0905
Qwen2.5-Coder 32B Instruct
Available providers and their performance metrics
Kimi K2 0905
Novita
ZeroEval
Qwen2.5-Coder 32B Instruct
Kimi K2 0905
Qwen2.5-Coder 32B Instruct
Kimi K2 0905
Qwen2.5-Coder 32B Instruct
DeepInfra
Fireworks
Hyperbolic
Lambda