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%). It supports a 262K token context window for handling large documents. The model is available through 4 API providers. Released in 2025, it represents DeepSeek's latest advancement in AI technology.

Kimi K2 Base
Moonshot AI
Kimi K2 Base is a language model developed by Moonshot AI. It achieves strong performance with an average score of 69.2% across 13 benchmarks. It excels particularly in C-Eval (92.5%), GSM8k (92.1%), MMLU-redux-2.0 (90.2%). The model shows particular specialization in math tasks with an average performance of 81.2%. Released in 2025, it represents Moonshot AI's latest advancement in AI technology.

Kimi K2 Base
Moonshot AI
2025-01-01

DeepSeek-R1
DeepSeek
2025-01-20
19 days newer
Performance Metrics
Context window and performance specifications

DeepSeek-R1

Kimi K2 Base
Average performance across 6 common benchmarks

DeepSeek-R1

Kimi K2 Base
Performance comparison across key benchmark categories

DeepSeek-R1

Kimi K2 Base
Provider Availability & Performance
Available providers and their performance metrics

DeepSeek-R1
Together
DeepInfra
Fireworks
DeepSeek

Kimi K2 Base

DeepSeek-R1

Kimi K2 Base