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-1.5

xAI

Grok-1.5 is a language model developed by xAI. It achieves strong performance with an average score of 63.9% across 9 benchmarks. It excels particularly in GSM8k (90.0%), DocVQA (85.6%), MMLU (81.3%). Released in 2024, it represents xAI's latest advancement in AI technology.

xAI

Grok-1.5

xAI

2024-03-28

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-1.5

Max Context:-

Average performance across 1 common benchmarks

OpenAI

GPT-5 nano

+35.3%
Average Score:71.2%
xAI

Grok-1.5

Average Score:35.9%

Performance comparison across key benchmark categories

OpenAI

GPT-5 nano

math
9.6%
general
+4.1%
60.2%
xAI

Grok-1.5

math
+54.9%
64.5%
general
56.1%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
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-1.5

0 providers
OpenAI

GPT-5 nano

+35.3%
Avg Score:71.2%
Providers:2
xAI

Grok-1.5

Avg Score:35.9%
Providers:0