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

Grok-2
xAI
Grok-2 is a multimodal language model developed by xAI. It achieves strong performance with an average score of 76.5% across 8 benchmarks. It excels particularly in DocVQA (93.6%), HumanEval (88.4%), MMLU (87.5%). 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 2024, it represents xAI'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-2
xAI
2024-08-13

Grok-3
xAI
2025-02-17
6 months newer
Pricing Comparison
Cost per million tokens (USD)

Grok-2

Grok-3
Performance Metrics
Context window and performance specifications

Grok-2

Grok-3
Average performance across 2 common benchmarks

Grok-2

Grok-3
Performance comparison across key benchmark categories

Grok-2

Grok-3
Grok-3
2024-11-17
Provider Availability & Performance
Available providers and their performance metrics

Grok-2
xAI

Grok-3
xAI

Grok-2

Grok-3