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

DeepSeek R1 Distill Qwen 1.5B
DeepSeek
DeepSeek R1 Distill Qwen 1.5B is a language model developed by DeepSeek. The model shows competitive results across 4 benchmarks. It excels particularly in MATH-500 (83.9%), AIME 2024 (52.7%), GPQA (33.8%). 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 Qwen 1.5B
DeepSeek
2025-01-20

GPT-4.1 nano
OpenAI
2025-04-14
2 months newer
Performance Metrics
Context window and performance specifications

DeepSeek R1 Distill Qwen 1.5B

GPT-4.1 nano
Average performance across 2 common benchmarks

DeepSeek R1 Distill Qwen 1.5B

GPT-4.1 nano
Performance comparison across key benchmark categories

DeepSeek R1 Distill Qwen 1.5B

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

DeepSeek R1 Distill Qwen 1.5B

GPT-4.1 nano
OpenAI

DeepSeek R1 Distill Qwen 1.5B

GPT-4.1 nano