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

GPT-4.1 nano
OpenAI
GPT-4.1 nano is a multimodal language model developed by OpenAI. The model shows competitive results across 25 benchmarks. It excels particularly in MMLU (80.1%), IFEval (74.5%), CharXiv-D (73.9%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 1 API provider. 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-3
xAI
Grok-3 is a multimodal language model developed by xAI. This model demonstrates exceptional performance with an average score of 85.7% across 5 benchmarks. It excels particularly in AIME 2024 (93.3%), AIME 2025 (93.3%), GPQA (84.6%). The model shows particular specialization in general tasks with an average performance of 90.4%. It supports a 136K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents xAI's latest advancement in AI technology.

Grok-3
xAI
2025-02-17

GPT-4.1 nano
OpenAI
2025-04-14
1 month newer
Pricing Comparison
Cost per million tokens (USD)

GPT-4.1 nano

Grok-3
Performance Metrics
Context window and performance specifications

GPT-4.1 nano

Grok-3
Average performance across 3 common benchmarks

GPT-4.1 nano

Grok-3
Performance comparison across key benchmark categories

GPT-4.1 nano

Grok-3
GPT-4.1 nano
2024-05-31
Grok-3
2024-11-17
Provider Availability & Performance
Available providers and their performance metrics

GPT-4.1 nano
OpenAI

Grok-3
xAI

GPT-4.1 nano

Grok-3