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Moonshot AI (Kimi)Kimi K3VSZ.ai (Zhipu AI)GLM-5.1

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-5.1 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 (+7.3%)
93.5%

graduate-level science QA

Cost & Context

Cost (per 1M tokens)1.3x cheaper
$1.71Input: $0.95 | Output: $4.00
Context WindowLarger
262.14k tokens
Model Specs

GLM-5.1

Open SourceAPI Available

Benchmarks & Scores

Coding (swe-bench-pro)
58.4%

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

Reasoning (gpqa-diamond)
86.2%

graduate-level science QA

Cost & Context

Cost (per 1M tokens)
$2.15Input: $1.40 | Output: $4.40
Context Window
202.75k tokens

Frequently Asked Questions about Kimi K3 vs GLM-5.1

Kimi K3 is cheaper than GLM-5.1. Kimi K3 has a blended cost of $1.71/1M tokens, which is about 1.3x cheaper than GLM-5.1 at $2.15/1M tokens.

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