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

GPT-5 nano
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.

Grok-1.5V
xAI
Grok-1.5V is a multimodal language model developed by xAI. It achieves strong performance with an average score of 71.9% across 7 benchmarks. It excels particularly in AI2D (88.3%), DocVQA (85.6%), TextVQA (78.1%). The model shows particular specialization in general tasks with an average performance of 77.7%. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents xAI's latest advancement in AI technology.

Grok-1.5V
xAI
2024-04-12

GPT-5 nano
OpenAI
2025-08-07
1 year newer
Performance Metrics
Context window and performance specifications

GPT-5 nano

Grok-1.5V
Performance comparison across key benchmark categories

GPT-5 nano

Grok-1.5V
GPT-5 nano
2024-05-30
Provider Availability & Performance
Available providers and their performance metrics

GPT-5 nano
ZeroEval
OpenAI

Grok-1.5V

GPT-5 nano

Grok-1.5V