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

DeepSeek R1 Distill Llama 70B
DeepSeek
DeepSeek R1 Distill Llama 70B is a language model developed by DeepSeek. It achieves strong performance with an average score of 76.0% across 4 benchmarks. It excels particularly in MATH-500 (94.5%), AIME 2024 (86.7%), GPQA (65.2%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. 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-4.1 nano
OpenAI
GPT-4.1 nano is a multimodal language model developed by OpenAI. The model shows competitive results across 25 benchmarks. It excels particularly in MMLU (80.1%), IFEval (74.5%), CharXiv-D (73.9%). 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 Distill Llama 70B
DeepSeek
2025-01-20

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

DeepSeek R1 Distill Llama 70B

GPT-4.1 nano
Performance Metrics
Context window and performance specifications

DeepSeek R1 Distill Llama 70B

GPT-4.1 nano
Average performance across 2 common benchmarks

DeepSeek R1 Distill Llama 70B

GPT-4.1 nano
Performance comparison across key benchmark categories

DeepSeek R1 Distill Llama 70B

GPT-4.1 nano
GPT-4.1 nano
2024-05-31
Provider Availability & Performance
Available providers and their performance metrics

DeepSeek R1 Distill Llama 70B
DeepInfra

GPT-4.1 nano
OpenAI

DeepSeek R1 Distill Llama 70B

GPT-4.1 nano