Comprehensive side-by-side LLM comparison
Kimi K2 0905 leads with 6.3% higher average benchmark score. Kimi K2 0905 offers 327.7K more tokens in context window than GLM-4.6. Both models have similar pricing. GLM-4.6 supports multimodal inputs. Overall, Kimi K2 0905 is the stronger choice for coding tasks.
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.
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.
25 days newer
Kimi K2 0905
Moonshot AI
2025-09-05
GLM-4.6
Zhipu AI
2025-09-30
Cost per million tokens (USD)
GLM-4.6
Kimi K2 0905
Context window and performance specifications
Average performance across 12 common benchmarks
GLM-4.6
Kimi K2 0905
Available providers and their performance metrics
GLM-4.6
DeepInfra
ZeroEval
Kimi K2 0905
GLM-4.6
Kimi K2 0905
GLM-4.6
Kimi K2 0905
Novita
ZeroEval