Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
Kimi K2 Instruct
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 144K token context window for handling large documents. The model is available through 1 API provider. Released in 2025, it represents Moonshot AI's latest advancement in AI technology.
QwQ-32B
Alibaba
QwQ-32B is a language model developed by Alibaba. It achieves strong performance with an average score of 74.6% across 7 benchmarks. It excels particularly in MATH-500 (90.6%), IFEval (83.9%), AIME 2024 (79.5%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba's latest advancement in AI technology.
Kimi K2 Instruct
Moonshot AI
2025-01-01
QwQ-32B
Alibaba
2025-03-05
2 months newer
Performance Metrics
Context window and performance specifications
Kimi K2 Instruct
QwQ-32B
Average performance across 5 common benchmarks
Kimi K2 Instruct
QwQ-32B
Performance comparison across key benchmark categories
Kimi K2 Instruct
QwQ-32B
QwQ-32B
2024-11-28
Provider Availability & Performance
Available providers and their performance metrics
Kimi K2 Instruct
Novita
QwQ-32B
Kimi K2 Instruct
QwQ-32B