Comprehensive side-by-side LLM comparison
Grok-4 leads with 1.4% higher average benchmark score. Grok-4 offers 128.0K more tokens in context window than Grok-3. Both models have similar pricing. Both models have their strengths depending on your specific coding needs.
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 2025 (93.3%), AIME 2024 (93.3%), GPQA (84.6%). 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.
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.
4 months newer
Grok-3
xAI
2025-02-17
Grok-4
xAI
2025-07-09
Cost per million tokens (USD)
Grok-3
Grok-4
Context window and performance specifications
Average performance across 9 common benchmarks
Grok-3
Grok-4
Grok-3
2024-11-17
Grok-4
2024-12-31
Available providers and their performance metrics
Grok-3
xAI
Grok-4
Grok-3
Grok-4
Grok-3
Grok-4
xAI
ZeroEval