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

DeepSeek VL2
DeepSeek
DeepSeek VL2 is a multimodal language model developed by DeepSeek. It achieves strong performance with an average score of 70.9% across 14 benchmarks. It excels particularly in DocVQA (93.3%), ChartQA (86.0%), TextVQA (84.2%). The model shows particular specialization in vision tasks with an average performance of 76.7%. It supports a 259K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, 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.

DeepSeek VL2
DeepSeek
2024-12-13

Kimi K2 Base
Moonshot AI
2025-01-01
19 days newer
Performance Metrics
Context window and performance specifications

DeepSeek VL2

Kimi K2 Base
Performance comparison across key benchmark categories

DeepSeek VL2

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

DeepSeek VL2
Replicate

Kimi K2 Base

DeepSeek VL2

Kimi K2 Base