Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance

DeepSeek-R1
DeepSeek
DeepSeek-R1 is a language model developed by DeepSeek. It achieves strong performance with an average score of 74.1% across 20 benchmarks. It excels particularly in MATH-500 (97.3%), MMLU-Redux (92.9%), CLUEWSC (92.8%). The model shows particular specialization in math tasks with an average performance of 88.1%. It supports a 262K 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 2025, it represents DeepSeek's latest advancement in AI technology.

Kimi K2-Instruct-0905
Moonshot AI
Kimi K2-Instruct-0905 is a language model developed by Moonshot AI. It achieves strong performance with an average score of 64.1% across 29 benchmarks. It excels particularly in MATH-500 (97.4%), MMLU-Redux (92.7%), IFEval (89.8%). 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.

DeepSeek-R1
DeepSeek
2025-01-20

Kimi K2-Instruct-0905
Moonshot AI
2025-09-05
7 months newer
Performance Metrics
Context window and performance specifications

DeepSeek-R1

Kimi K2-Instruct-0905
Average performance across 12 common benchmarks

DeepSeek-R1

Kimi K2-Instruct-0905
Performance comparison across key benchmark categories

DeepSeek-R1

Kimi K2-Instruct-0905
Provider Availability & Performance
Available providers and their performance metrics

DeepSeek-R1
Together
DeepInfra
Fireworks
DeepSeek

Kimi K2-Instruct-0905

DeepSeek-R1

Kimi K2-Instruct-0905