Comprehensive side-by-side LLM comparison
GPT-5 nano leads with 29.9% higher average benchmark score. GPT-5 nano offers 262.0K more tokens in context window than Grok Code Fast 1. GPT-5 nano is $1.25 cheaper per million tokens. GPT-5 nano supports multimodal inputs. Overall, GPT-5 nano is the stronger choice for coding tasks.
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.
xAI
Grok Code Fast 1 is a language model developed by xAI. It achieves strong performance with an average score of 70.8% across 1 benchmarks. Notable strengths include SWE-Bench Verified (70.8%). It supports a 266K token context window for handling large documents. The model is available through 1 API provider. Released in 2025, it represents xAI's latest advancement in AI technology.
21 days newer
GPT-5 nano
OpenAI
2025-08-07
Grok Code Fast 1
xAI
2025-08-28
Cost per million tokens (USD)
GPT-5 nano
Grok Code Fast 1
Context window and performance specifications
Average performance across 6 common benchmarks
GPT-5 nano
Grok Code Fast 1
GPT-5 nano
2024-05-30
Available providers and their performance metrics
GPT-5 nano
OpenAI
ZeroEval
GPT-5 nano
Grok Code Fast 1
GPT-5 nano
Grok Code Fast 1
Grok Code Fast 1
xAI