Comprehensive side-by-side LLM comparison
Kimi K2 Instruct leads with 58.4% higher average benchmark score. Kimi K2 Instruct offers 196.6K more tokens in context window than QwQ-32B-Preview. QwQ-32B-Preview is $2.52 cheaper per million tokens. QwQ-32B-Preview is available on 4 providers. Overall, Kimi K2 Instruct is the stronger choice for coding tasks.
Moonshot AI
Kimi K2 Instruct is a language model developed by Moonshot AI. It achieves strong performance with an average score of 66.7% across 38 benchmarks. It excels particularly in MATH-500 (97.4%), GSM8k (97.3%), CBNSL (95.6%). It supports a 262K 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 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.
7 months newer
QwQ-32B-Preview
Alibaba Cloud / Qwen Team
2024-11-28
Kimi K2 Instruct
Moonshot AI
2025-07-11
Cost per million tokens (USD)
Kimi K2 Instruct
QwQ-32B-Preview
Context window and performance specifications
Average performance across 39 common benchmarks
Kimi K2 Instruct
QwQ-32B-Preview
QwQ-32B-Preview
2024-11-28
Available providers and their performance metrics
Kimi K2 Instruct
Novita
QwQ-32B-Preview
Kimi K2 Instruct
QwQ-32B-Preview
Kimi K2 Instruct
QwQ-32B-Preview
DeepInfra
Fireworks
Hyperbolic
Together