Comprehensive side-by-side LLM comparison
Kimi K2 0905 leads with 5.2% higher average benchmark score. Kimi K2 0905 offers 260.3K more tokens in context window than Grok-4. Kimi K2 0905 is $14.90 cheaper per million tokens. Grok-4 supports multimodal inputs. Overall, Kimi K2 0905 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 0905 is a language model developed by Moonshot AI. This model demonstrates exceptional performance with an average score of 84.0% across 6 benchmarks. It excels particularly in HumanEval (94.5%), MMLU (90.2%), MATH (89.1%). It supports a 524K token context window for handling large documents. The model is available through 2 API providers. Released in 2025, it represents Moonshot AI's latest advancement in AI technology.
1 month newer
Grok-4
xAI
2025-07-09
Kimi K2 0905
Moonshot AI
2025-09-05
Cost per million tokens (USD)
Grok-4
Kimi K2 0905
Context window and performance specifications
Average performance across 12 common benchmarks
Grok-4
Kimi K2 0905
Grok-4
2024-12-31
Available providers and their performance metrics
Grok-4
xAI
ZeroEval
Grok-4
Kimi K2 0905
Grok-4
Kimi K2 0905
Kimi K2 0905
Novita
ZeroEval