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.

GPT-3.5 Turbo

OpenAI

GPT-3.5 Turbo is a language model developed by OpenAI. The model shows competitive results across 8 benchmarks. Notable strengths include DROP (70.2%), MMLU (69.8%), HumanEval (68.0%). The model is available through 2 API providers.

GPT-3.5 Turbo

OpenAI

2023-03-21

DeepSeek R1 Zero

DeepSeek

2025-01-20

1 year newer

Performance Metrics

Context window and performance specifications

DeepSeek R1 Zero

Max Context:-

Parameters:671.0B

GPT-3.5 Turbo

Larger context

Max Context:20.5K

Average performance across 1 common benchmarks

DeepSeek R1 Zero

+42.5%

Average Score:73.3%

GPT-3.5 Turbo

Average Score:30.8%

Performance comparison across key benchmark categories

DeepSeek R1 Zero

math

+62.8%

95.9%

general

+23.1%

80.0%

code

50.0%

GPT-3.5 Turbo

math

33.1%

general

56.9%

code

+18.0%

68.0%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Knowledge Cutoff

Training data recency comparison

GPT-3.5 Turbo

2021-09-30

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

GPT-3.5 Turbo

2 providers

Azure

Throughput: 90 tok/s

Latency: 0.8ms

OpenAI

Throughput: 100 tok/s

Latency: 0.5ms

DeepSeek R1 Zero

+42.5%

Avg Score:73.3%

Providers:0

GPT-3.5 Turbo

Avg Score:30.8%

Providers:2