Model Comparison

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

DeepSeek

DeepSeek-V3

DeepSeek

DeepSeek-V3 is a language model developed by DeepSeek. It achieves strong performance with an average score of 67.2% across 20 benchmarks. It excels particularly in DROP (91.6%), CLUEWSC (90.9%), MATH-500 (90.2%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. 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-V3

DeepSeek

2024-12-25

Moonshot AI

Kimi K2 Base

Moonshot AI

2025-01-01

7 days newer

Performance Metrics

Context window and performance specifications

DeepSeek

DeepSeek-V3

Larger context
Max Context:262.1K
Parameters:671.0B
Moonshot AI

Kimi K2 Base

Max Context:-
Parameters:1.0T

Average performance across 6 common benchmarks

DeepSeek

DeepSeek-V3

Average Score:66.6%
Moonshot AI

Kimi K2 Base

+1.8%
Average Score:68.4%

Performance comparison across key benchmark categories

DeepSeek

DeepSeek-V3

math
+9.0%
90.2%
code
+6.8%
73.2%
general
65.1%
Moonshot AI

Kimi K2 Base

math
81.2%
code
66.4%
general
+2.1%
67.3%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek

DeepSeek-V3

1 providers

DeepSeek

Throughput: 100 tok/s
Latency: 0.5ms
Moonshot AI

Kimi K2 Base

0 providers
DeepSeek

DeepSeek-V3

Avg Score:66.6%
Providers:1
Moonshot AI

Kimi K2 Base

+1.8%
Avg Score:68.4%
Providers:0