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

DeepSeek-V3.1
DeepSeek
DeepSeek-V3.1 is a language model developed by DeepSeek. The model shows competitive results across 16 benchmarks. It excels particularly in SimpleQA (93.4%), MMLU-Redux (91.8%), MMLU-Pro (83.7%). The model shows particular specialization in factuality tasks with an average performance of 92.6%. It supports a 328K token context window for handling large documents. The model is available through 2 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-V3.1
DeepSeek
2025-01-10

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

DeepSeek-V3.1

Kimi K2-Instruct-0905
Average performance across 11 common benchmarks

DeepSeek-V3.1

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

DeepSeek-V3.1

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

DeepSeek-V3.1
DeepInfra
Novita

Kimi K2-Instruct-0905

DeepSeek-V3.1

Kimi K2-Instruct-0905