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GLM-4.6 vs Kimi-k1.5
Comprehensive side-by-side LLM comparison
Kimi-k1.5 leads with 19.2% higher average benchmark score. GLM-4.6 is available on 2 providers. Overall, Kimi-k1.5 is the stronger choice for coding tasks.
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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.
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Moonshot AI
Kimi-k1.5 is a multimodal language model developed by Moonshot AI. This model demonstrates exceptional performance with an average score of 81.7% across 9 benchmarks. It excels particularly in MATH-500 (96.2%), CLUEWSC (91.4%), C-Eval (88.3%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Moonshot AI's latest advancement in AI technology.
8 months newer
Kimi-k1.5
Moonshot AI
2025-01-20
GLM-4.6
Zhipu AI
2025-09-30
Performance Metrics
Context window and performance specifications
Average performance across 16 common benchmarks
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GLM-4.6
Average Score:26.8%
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Kimi-k1.5
Average Score:46.0%(+19.2%)
Provider Availability & Performance
Available providers and their performance metrics
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GLM-4.6
2 providers
DeepInfra
Throughput: 85 tok/s
Latency: 0.7ms
ZeroEval
Throughput: 85 tok/s
Latency: 0.7ms
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Kimi-k1.5
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GLM-4.6
Avg Score:26.8%
Providers:2
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Kimi-k1.5
Avg Score:46.0%(+19.2%)
Providers:0