Comprehensive side-by-side LLM comparison
Kimi K2 0905 leads with 31.0% higher average benchmark score. Kimi K2 0905 offers 458.8K more tokens in context window than QwQ-32B-Preview. QwQ-32B-Preview is $2.75 cheaper per million tokens. QwQ-32B-Preview is available on 4 providers. Overall, Kimi K2 0905 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
QwQ-32B-Preview is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 64.0% across 4 benchmarks. It excels particularly in MATH-500 (90.6%), GPQA (65.2%), AIME 2024 (50.0%). 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.
9 months newer
QwQ-32B-Preview
Alibaba Cloud / Qwen Team
2024-11-28
Kimi K2 0905
Moonshot AI
2025-09-05
Cost per million tokens (USD)
Kimi K2 0905
QwQ-32B-Preview
Context window and performance specifications
Average performance across 8 common benchmarks
Kimi K2 0905
QwQ-32B-Preview
QwQ-32B-Preview
2024-11-28
Available providers and their performance metrics
Kimi K2 0905
Novita
ZeroEval
QwQ-32B-Preview
Kimi K2 0905
QwQ-32B-Preview
Kimi K2 0905
QwQ-32B-Preview
DeepInfra
Fireworks
Hyperbolic
Together