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GLM-4.5 vs Kimi-k1.5
Comprehensive side-by-side LLM comparison
GLM-4.5 leads with 7.6% higher average benchmark score. Kimi-k1.5 supports multimodal inputs. GLM-4.5 is available on 3 providers. Overall, GLM-4.5 is the stronger choice for coding tasks.
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Zhipu AI
GLM-4.5 is a language model developed by Zhipu AI. It achieves strong performance with an average score of 64.0% across 14 benchmarks. It excels particularly in MATH-500 (98.2%), AIME 2024 (91.0%), MMLU-Pro (84.6%). It supports a 262K token context window for handling large documents. The model is available through 3 API providers. 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.
6 months newer
Kimi-k1.5
Moonshot AI
2025-01-20
GLM-4.5
Zhipu AI
2025-07-28
Performance Metrics
Context window and performance specifications
Average performance across 21 common benchmarks
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GLM-4.5
Average Score:42.6%(+7.6%)
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Kimi-k1.5
Average Score:35.0%
Provider Availability & Performance
Available providers and their performance metrics
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GLM-4.5
3 providers
DeepInfra
Novita
ZeroEval
Throughput: 85 tok/s
Latency: 0.7ms
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Kimi-k1.5
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GLM-4.5
Avg Score:42.6%(+7.6%)
Providers:3
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Kimi-k1.5
Avg Score:35.0%
Providers:0