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Moonshot AI (Kimi)Kimi K3VSZ.ai (Zhipu AI)GLM-4.5

Analysis by:the whichllmmodel Editorial Team|Updated: June 2026

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-4.5 directly in their respective provider playgrounds to see which fits your specific prompt styles best.
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Model Specs

Kimi K3

Open SourceAPI Available

Benchmarks & Scores

Coding (swe-bench-pro)
N/A

excellent at multi-file repositories, autonomous agents, and industrial codebases

Reasoning (gpqa-diamond)Winner (+13.6%)
93.5%

graduate-level science QA

Cost & Context

Cost (per 1M tokens)
$1.71Input: $0.95 | Output: $4.00
Context WindowLarger
262.14k tokens
Model Specs

GLM-4.5

Open SourceAPI Available

Benchmarks & Scores

Coding (swe-bench-verified)
64.2%

good at editing existing code, cross-file updates, and multi-component systems

Reasoning (gpqa-diamond)
79.9%

graduate-level science QA

Cost & Context

Cost (per 1M tokens)1.7x cheaper
$1.00Input: $0.60 | Output: $2.20
Context Window
131.07k tokens

Frequently Asked Questions about Kimi K3 vs GLM-4.5

GLM-4.5 is cheaper than Kimi K3. GLM-4.5 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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