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 0905
Moonshot AI
Kimi K2 0905 is a language model developed by Moonshot AI. This model demonstrates exceptional performance with an average score of 84.0% across 6 benchmarks. It excels particularly in HumanEval (94.5%), MMLU (90.2%), MATH (89.1%). It supports a 524K 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.

DeepSeek-V3.1
DeepSeek
2025-01-10

Kimi K2 0905
Moonshot AI
2025-09-05
7 months newer
Pricing Comparison
Cost per million tokens (USD)

DeepSeek-V3.1

Kimi K2 0905
Performance Metrics
Context window and performance specifications

DeepSeek-V3.1

Kimi K2 0905
Average performance across 2 common benchmarks

DeepSeek-V3.1

Kimi K2 0905
Performance comparison across key benchmark categories

DeepSeek-V3.1

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

DeepSeek-V3.1
DeepInfra
Novita

Kimi K2 0905
Novita

DeepSeek-V3.1

Kimi K2 0905