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

Gemini 1.5 Pro
Gemini 1.5 Pro is a multimodal language model developed by Google. It achieves strong performance with an average score of 72.6% across 23 benchmarks. It excels particularly in XSTest (98.8%), HellaSwag (93.3%), GSM8k (90.8%). With a 2.1M 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 2024, it represents Google's latest advancement in AI technology.

Grok-4
xAI
Grok-4 is a multimodal language model developed by xAI. It achieves strong performance with an average score of 63.1% across 7 benchmarks. It excels particularly in AIME 2025 (91.7%), HMMT25 (90.0%), GPQA (87.5%). It supports a 264K 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 xAI's latest advancement in AI technology.

Gemini 1.5 Pro
2024-05-01

Grok-4
xAI
2025-07-09
1 year newer
Pricing Comparison
Cost per million tokens (USD)

Gemini 1.5 Pro

Grok-4
Performance Metrics
Context window and performance specifications

Gemini 1.5 Pro

Grok-4
Average performance across 1 common benchmarks

Gemini 1.5 Pro

Grok-4
Performance comparison across key benchmark categories

Gemini 1.5 Pro

Grok-4
Gemini 1.5 Pro
2023-11-01
Grok-4
2024-12-31
Provider Availability & Performance
Available providers and their performance metrics

Gemini 1.5 Pro

Grok-4
xAI
ZeroEval

Gemini 1.5 Pro

Grok-4