Moonshot AI (Kimi)Kimi K3VSZ.ai (Zhipu AI)GLM-4.7
Our Take
Standardized reasoning and coding benchmarks are currently pending verification for one or both of these models. We recommend testing Kimi K3 and GLM-4.7 directly in their respective provider playgrounds to see which fits your specific prompt styles best.
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Benchmarks & Scores
Coding (swe-bench-pro)
N/Aexcellent at multi-file repositories, autonomous agents, and industrial codebases
Reasoning (gpqa-diamond)Winner (+7.8%)
93.5%graduate-level science QA
Cost & Context
Cost (per 1M tokens)
$1.71Input: $0.95 | Output: $4.00Context WindowLarger
262.14k tokensBenchmarks & Scores
Coding (swe-bench-verified)
73.8%good at editing existing code, cross-file updates, and multi-component systems
Reasoning (gpqa-diamond)
85.7%graduate-level science QA
Cost & Context
Cost (per 1M tokens)1.7x cheaper
$1.00Input: $0.60 | Output: $2.20Context Window
202.75k tokensFrequently Asked Questions about Kimi K3 vs GLM-4.7
GLM-4.7 is cheaper than Kimi K3. GLM-4.7 has a blended cost of $1.00/1M tokens, which is about 1.7x cheaper than Kimi K3 at $1.71/1M tokens.
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