Model Comparison

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

OpenAI

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.

xAI

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.

xAI

Grok-1.5V

xAI

2024-04-12

OpenAI

GPT-5 nano

OpenAI

2025-08-07

1 year newer

Performance Metrics

Context window and performance specifications

OpenAI

GPT-5 nano

Larger context
Max Context:528.0K
xAI

Grok-1.5V

Max Context:-

Performance comparison across key benchmark categories

OpenAI

GPT-5 nano

general
60.2%
math
9.6%
xAI

Grok-1.5V

general
+17.5%
77.7%
math
+43.2%
52.8%
Knowledge Cutoff
Training data recency comparison

GPT-5 nano

2024-05-30

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

OpenAI

GPT-5 nano

2 providers

ZeroEval

Throughput: 500 tok/s
Latency: 0.3ms

OpenAI

Throughput: 500 tok/s
Latency: 0.3ms
xAI

Grok-1.5V

0 providers
OpenAI

GPT-5 nano

Avg Score:0.0%
Providers:2
xAI

Grok-1.5V

Avg Score:0.0%
Providers:0