Model Comparison

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

DeepSeek

DeepSeek R1 Zero

DeepSeek

DeepSeek R1 Zero is a language model developed by DeepSeek. It achieves strong performance with an average score of 76.5% across 4 benchmarks. It excels particularly in MATH-500 (95.9%), AIME 2024 (86.7%), GPQA (73.3%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.

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.

DeepSeek

DeepSeek-V3

DeepSeek

2024-12-25

DeepSeek

DeepSeek R1 Zero

DeepSeek

2025-01-20

26 days newer

Performance Metrics

Context window and performance specifications

DeepSeek

DeepSeek R1 Zero

Max Context:-
Parameters:671.0B
DeepSeek

DeepSeek-V3

Larger context
Max Context:262.1K
Parameters:671.0B

Average performance across 4 common benchmarks

DeepSeek

DeepSeek R1 Zero

+20.0%
Average Score:76.5%
DeepSeek

DeepSeek-V3

Average Score:56.5%

Performance comparison across key benchmark categories

DeepSeek

DeepSeek R1 Zero

math
+5.7%
95.9%
general
+14.9%
80.0%
code
50.0%
DeepSeek

DeepSeek-V3

math
90.2%
general
65.1%
code
+23.2%
73.2%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek

DeepSeek R1 Zero

0 providers
DeepSeek

DeepSeek-V3

1 providers

DeepSeek

Throughput: 100 tok/s
Latency: 0.5ms
DeepSeek

DeepSeek R1 Zero

+20.0%
Avg Score:76.5%
Providers:0
DeepSeek

DeepSeek-V3

Avg Score:56.5%
Providers:1