Comprehensive side-by-side LLM comparison
Grok-4 leads with 1.1% higher average benchmark score. Grok-4 offers 67.4K more tokens in context window than GLM-4.6. GLM-4.6 is $15.40 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
Zhipu AI
GLM-4.6 is a multimodal language model developed by Zhipu AI. It achieves strong performance with an average score of 61.2% across 7 benchmarks. It excels particularly in AIME 2025 (93.9%), LiveCodeBench v6 (82.8%), GPQA (81.0%). It supports a 197K 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. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Zhipu AI'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.
2 months newer
Grok-4
xAI
2025-07-09
GLM-4.6
Zhipu AI
2025-09-30
Cost per million tokens (USD)
GLM-4.6
Grok-4
Context window and performance specifications
Average performance across 12 common benchmarks
GLM-4.6
Grok-4
Grok-4
2024-12-31
Available providers and their performance metrics
GLM-4.6
DeepInfra
ZeroEval
Grok-4
GLM-4.6
Grok-4
GLM-4.6
Grok-4
xAI
ZeroEval