Model Comparison

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

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.

o3-mini

OpenAI

o3-mini is a language model developed by OpenAI. The model shows competitive results across 26 benchmarks. It excels particularly in COLLIE (98.7%), MATH (97.9%), IFEval (93.9%). It supports a 300K token context window for handling large documents. The model is available through 2 API providers. Released in 2025, it represents OpenAI's latest advancement in AI technology.

DeepSeek R1 Zero

DeepSeek

2025-01-20

o3-mini

OpenAI

2025-01-30

10 days newer

Performance Metrics

Context window and performance specifications

DeepSeek R1 Zero

Max Context:-

Parameters:671.0B

o3-mini

Larger context

Max Context:300.0K

Average performance across 2 common benchmarks

DeepSeek R1 Zero

Average Score:80.0%

o3-mini

+2.3%

Average Score:82.3%

Performance comparison across key benchmark categories

DeepSeek R1 Zero

math

+29.5%

95.9%

code

50.0%

general

+24.8%

80.0%

o3-mini

math

66.4%

code

+43.9%

93.9%

general

55.2%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Knowledge Cutoff

Training data recency comparison

o3-mini

2023-09-30

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek R1 Zero

0 providers

o3-mini

2 providers

Azure

Throughput: 115 tok/s

Latency: 5.2ms

OpenAI

Throughput: 115 tok/s

Latency: 5.2ms

DeepSeek R1 Zero

Avg Score:80.0%

Providers:0

o3-mini

+2.3%

Avg Score:82.3%

Providers:2