Comprehensive side-by-side LLM comparison
Kimi K2 Instruct leads with 49.8% higher average benchmark score. Grok-4 offers 1.9K more tokens in context window than Kimi K2 Instruct. Kimi K2 Instruct is $15.13 cheaper per million tokens. Grok-4 supports multimodal inputs. Overall, Kimi K2 Instruct is the stronger choice for coding tasks.
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.
Moonshot AI
Kimi K2 Instruct is a language model developed by Moonshot AI. It achieves strong performance with an average score of 66.7% across 38 benchmarks. It excels particularly in MATH-500 (97.4%), GSM8k (97.3%), CBNSL (95.6%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Moonshot AI's latest advancement in AI technology.
2 days newer
Grok-4
xAI
2025-07-09
Kimi K2 Instruct
Moonshot AI
2025-07-11
Cost per million tokens (USD)
Grok-4
Kimi K2 Instruct
Context window and performance specifications
Average performance across 42 common benchmarks
Grok-4
Kimi K2 Instruct
Grok-4
2024-12-31
Available providers and their performance metrics
Grok-4
xAI
ZeroEval
Grok-4
Kimi K2 Instruct
Grok-4
Kimi K2 Instruct
Kimi K2 Instruct
Novita