Model Comparison

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

DeepSeek R1 Zero

DeepSeek

DeepSeek R1 Zero is a language model developed by DeepSeek. It achieves strong performance with an average score of 76.5% across 4 benchmarks. It excels particularly in MATH-500 (95.9%), AIME 2024 (86.7%), GPQA (73.3%). 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-k1.5

Moonshot AI

Kimi-k1.5 is a multimodal language model developed by Moonshot AI. This model demonstrates exceptional performance with an average score of 81.7% across 9 benchmarks. It excels particularly in MATH-500 (96.2%), CLUEWSC (91.4%), C-Eval (88.3%). The model shows particular specialization in math tasks with an average performance of 85.5%. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Moonshot AI's latest advancement in AI technology.

DeepSeek R1 Zero

DeepSeek

2025-01-20

Kimi-k1.5

Moonshot AI

2025-01-20

0 days newer

Average performance across 2 common benchmarks

DeepSeek R1 Zero

+4.4%

Average Score:91.3%

Kimi-k1.5

Average Score:86.9%

Performance comparison across key benchmark categories

DeepSeek R1 Zero

math

+10.3%

95.9%

general

80.0%

code

50.0%

Kimi-k1.5

math

85.5%

general

+5.4%

85.4%

code

+29.3%

79.3%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek R1 Zero

0 providers

Kimi-k1.5

0 providers

DeepSeek R1 Zero

+4.4%

Avg Score:91.3%

Providers:0

Kimi-k1.5

Avg Score:86.9%

Providers:0