Model Comparison

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

DeepSeek

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.

Moonshot AI

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

DeepSeek VL2

DeepSeek

2024-12-13

Moonshot AI

Kimi K2 Base

Moonshot AI

2025-01-01

19 days newer

Performance Metrics

Context window and performance specifications

DeepSeek

DeepSeek VL2

Larger context
Max Context:258.6K
Parameters:27.0B
Moonshot AI

Kimi K2 Base

Max Context:-
Parameters:1.0T

Performance comparison across key benchmark categories

DeepSeek

DeepSeek VL2

math
62.8%
general
+2.7%
69.9%
Moonshot AI

Kimi K2 Base

math
+18.4%
81.2%
general
67.3%

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek

DeepSeek VL2

1 providers

Replicate

Throughput: 22 tok/s
Latency: 0.5ms
Moonshot AI

Kimi K2 Base

0 providers
DeepSeek

DeepSeek VL2

Avg Score:0.0%
Providers:1
Moonshot AI

Kimi K2 Base

Avg Score:0.0%
Providers:0