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Moonshot AI (Kimi)

Kimi K2.7 Code

VS
Z.ai (Zhipu AI)

GLM-4.6

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

Decision Recommendation

⚖️ Editorial Verdict: In our analysis, GLM-4.6 is the premium intelligence choice, scoring 48.9% higher on coding benchmarks. It also maintains strong cost efficiency. If you are building high-volume, simple chatbots or processing massive amounts of text where budget is critical, Kimi K2.7 Code offers excellent cost savings. For agentic reasoning, code refactoring, or complex logical tasks, the accuracy premium of GLM-4.6 fully justifies the cost.

Model Specs

Kimi K2.7 Code

Benchmarks & Scores

Coding (swe-bench-pro)Winner (+48.9%)
58.6%
Reasoning (gpqa-diamond)
N/A

Cost & Performance

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

GLM-4.6

Benchmarks & Scores

Coding (swe-bench-pro)
9.67%
Reasoning (gpqa-diamond)Winner (+)
82.9%

Cost & Performance

Cost (per 1M tokens)1.7x cheaper
$1.00Input: $0.60 | Output: $2.20
Context Window
204.8k tokens

Frequently Asked Questions

GLM-4.6 is cheaper than Kimi K2.7 Code. GLM-4.6 has a blended cost of $1.00/1M tokens, which is about 1.7x cheaper than Kimi K2.7 Code at $1.71/1M tokens.

Kimi K2.7 Code is better for coding tasks. It scores 58.6% on coding evaluations (swe-bench-pro) compared to GLM-4.6 which scores 9.67%.

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