Question 1

What does this Kimi K2.7 Code vs GLM-5-Turbo comparison cover?

Accepted Answer

It brings together documented inputs and outputs, token limits, deployment terms and available pricing. When both models have source-linked, verified results on a shared benchmark, those results are shown with their individual sources. The comparison is a starting point for evaluating your own workload.

Question 2

Which is cheaper: Kimi K2.7 Code or GLM-5-Turbo?

Accepted Answer

Kimi K2.7 Code lists $0.95 input and $4.00 output per 1M tokens. GLM-5-Turbo lists $0.00 input and $0.00 output. The cheaper workload depends on the mix of input and output. Long-context tiers, caching, batch processing and retries can change the bill.

Question 3

Which has the larger context window: Kimi K2.7 Code or GLM-5-Turbo?

Accepted Answer

Kimi K2.7 Code lists 262.14K tokens and GLM-5-Turbo lists 200K. Kimi K2.7 Code therefore has the larger recorded context window, but capacity alone is not a quality score.

Question 4

Which is faster: Kimi K2.7 Code or GLM-5-Turbo?

Accepted Answer

There is no matched speed measurement for both models with the same source, host, region and date. Test the same prompts at your expected concurrency and measure time to the first useful response as well as complete task time.

Question 5

What input and output types do Kimi K2.7 Code and GLM-5-Turbo support?

Accepted Answer

Kimi K2.7 Code records text, image, video input and text output. GLM-5-Turbo records text input and text output. “Not documented” means the current source record is incomplete; it does not prove that a modality is unsupported.

Question 6

Should I choose Kimi K2.7 Code or GLM-5-Turbo?

Accepted Answer

Consider Kimi K2.7 Code if you need larger context or larger maximum output. Consider GLM-5-Turbo if you need a lower listed input rate or a lower listed output rate. Kimi K2.7 Code offers downloadable weights; GLM-5-Turbo is listed as a proprietary model. Compare licence terms and operating costs before choosing a deployment. Test both on the same representative examples and judge the output against your acceptance criteria. Include tool failures, retries and the time to a completed task.

Specification	Kimi K2.7 Code	GLM-5-Turbo
Provider	Moonshot AI	Z.ai / Zhipu AI
Listed pricing route	Moonshot AI	Z.ai / Zhipu AI
Model family	kimi-k2	glm
Accepted inputs	text, image, video	text
Produced outputs	text	text
Context window	262.14KHigher	200K
Max output	262.14KHigher	131.07K
Input price / 1M	$0.95	$0.00Lower
Output price / 1M	$4.00	$0.00Lower
Reasoning mode	Documented	Documented
Tool calling	Documented	Documented
Image input	Documented	Not documented
Audio input	Not documented	Not documented
Structured output	Documented	Documented
License	Open weights	Proprietary

Kimi K2.7 Code vs GLM-5-Turbo

Kimi K2.7 Code

GLM-5-Turbo

Key differences

Pricing, limits and capabilities

Which model should you choose?

Documentation and model profiles

Questions people ask

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