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

DeepSeek-R1
DeepSeek
DeepSeek-R1 is a language model developed by DeepSeek. It achieves strong performance with an average score of 74.1% across 20 benchmarks. It excels particularly in MATH-500 (97.3%), MMLU-Redux (92.9%), CLUEWSC (92.8%). It supports a 262K token context window for handling large documents. The model is available through 4 API providers. Released in 2025, it represents DeepSeek's latest advancement in AI technology.

GPT-4.1
OpenAI
GPT-4.1 is a multimodal language model developed by OpenAI. The model shows competitive results across 30 benchmarks. It excels particularly in MMLU (90.2%), CharXiv-D (87.9%), IFEval (87.4%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 1 API provider. 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-R1
DeepSeek
2025-01-20

GPT-4.1
OpenAI
2025-04-14
2 months newer
Pricing Comparison
Cost per million tokens (USD)

DeepSeek-R1

GPT-4.1
Performance Metrics
Context window and performance specifications

DeepSeek-R1

GPT-4.1
Average performance across 6 common benchmarks

DeepSeek-R1

GPT-4.1
Performance comparison across key benchmark categories

DeepSeek-R1

GPT-4.1
GPT-4.1
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics

DeepSeek-R1
Together
DeepInfra
Fireworks
DeepSeek

GPT-4.1
OpenAI

DeepSeek-R1

GPT-4.1