Model Comparison

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

DeepSeek

DeepSeek-R1-0528

DeepSeek

DeepSeek-R1-0528 is a language model developed by DeepSeek. It achieves strong performance with an average score of 68.1% across 16 benchmarks. It excels particularly in MMLU-Redux (93.4%), AIME 2024 (91.4%), AIME 2025 (87.5%). It supports a 262K token context window for handling large documents. The model is available through 3 API providers. Released in 2025, it represents DeepSeek's latest advancement in AI technology.

OpenAI

GPT-5 nano

OpenAI

GPT-5 nano is a multimodal language model developed by OpenAI. The model shows competitive results across 5 benchmarks. It excels particularly in AIME 2025 (85.2%), HMMT 2025 (75.6%), GPQA (71.2%). It supports a 528K token context window for handling large documents. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents OpenAI's latest advancement in AI technology.

DeepSeek

DeepSeek-R1-0528

DeepSeek

2025-05-28

OpenAI

GPT-5 nano

OpenAI

2025-08-07

2 months newer

Pricing Comparison

Cost per million tokens (USD)

DeepSeek

DeepSeek-R1-0528

Input:$0.50
Output:$2.15
OpenAI

GPT-5 nano

$2.20 cheaper
Input:$0.05
Output:$0.40

Performance Metrics

Context window and performance specifications

DeepSeek

DeepSeek-R1-0528

Max Context:262.1K
Parameters:671.0B
OpenAI

GPT-5 nano

Larger context
Max Context:528.0K

Average performance across 4 common benchmarks

DeepSeek

DeepSeek-R1-0528

+6.2%
Average Score:66.4%
OpenAI

GPT-5 nano

Average Score:60.2%

Performance comparison across key benchmark categories

DeepSeek

DeepSeek-R1-0528

general
+9.0%
69.2%
OpenAI

GPT-5 nano

general
60.2%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

GPT-5 nano

2024-05-30

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek

DeepSeek-R1-0528

3 providers

DeepInfra

Throughput: 45.04 tok/s
Latency: 0.61ms

Novita

Throughput: 37.96 tok/s
Latency: 1.18ms

DeepSeek

Throughput: 9 tok/s
Latency: 0.3ms
OpenAI

GPT-5 nano

2 providers

ZeroEval

Throughput: 500 tok/s
Latency: 0.3ms

OpenAI

Throughput: 500 tok/s
Latency: 0.3ms
DeepSeek

DeepSeek-R1-0528

+6.2%
Avg Score:66.4%
Providers:3
OpenAI

GPT-5 nano

Avg Score:60.2%
Providers:2