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

DeepSeek R1 Distill Qwen 32B
DeepSeek
DeepSeek R1 Distill Qwen 32B is a language model developed by DeepSeek. It achieves strong performance with an average score of 74.2% across 4 benchmarks. It excels particularly in MATH-500 (94.3%), AIME 2024 (83.3%), GPQA (62.1%). 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-5 mini
OpenAI
GPT-5 mini is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 60.0% across 5 benchmarks. It excels particularly in AIME 2025 (91.1%), HMMT 2025 (87.8%), GPQA (82.3%). 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 R1 Distill Qwen 32B
DeepSeek
2025-01-20

GPT-5 mini
OpenAI
2025-08-07
6 months newer
Pricing Comparison
Cost per million tokens (USD)

DeepSeek R1 Distill Qwen 32B

GPT-5 mini
Performance Metrics
Context window and performance specifications

DeepSeek R1 Distill Qwen 32B

GPT-5 mini
Average performance across 1 common benchmarks

DeepSeek R1 Distill Qwen 32B

GPT-5 mini
Performance comparison across key benchmark categories

DeepSeek R1 Distill Qwen 32B

GPT-5 mini
GPT-5 mini
2024-05-30
Provider Availability & Performance
Available providers and their performance metrics

DeepSeek R1 Distill Qwen 32B
DeepInfra

GPT-5 mini
ZeroEval
OpenAI

DeepSeek R1 Distill Qwen 32B

GPT-5 mini