Name: zai-org/GLM-5.2
Author: zai-org

Question 1

What does this zai-org/GLM-5.2 vs Kimi K2.7 Code 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: zai-org/GLM-5.2 or Kimi K2.7 Code?

Accepted Answer

zai-org/GLM-5.2 lists $1.40 input and $4.40 output per 1M tokens. Kimi K2.7 Code lists $0.95 input and $4.00 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: zai-org/GLM-5.2 or Kimi K2.7 Code?

Accepted Answer

zai-org/GLM-5.2 lists 1M tokens and Kimi K2.7 Code lists 262.14K. zai-org/GLM-5.2 therefore has the larger recorded context window, but capacity alone is not a quality score.

Question 4

Which is faster: zai-org/GLM-5.2 or Kimi K2.7 Code?

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 zai-org/GLM-5.2 and Kimi K2.7 Code support?

Accepted Answer

zai-org/GLM-5.2 records text input and text output. Kimi K2.7 Code records text, image, video 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 zai-org/GLM-5.2 or Kimi K2.7 Code?

Accepted Answer

Consider zai-org/GLM-5.2 if you need larger context. Consider Kimi K2.7 Code if you need larger maximum output or a lower listed input rate or a lower listed output rate. Kimi K2.7 Code offers downloadable weights; zai-org/GLM-5.2 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	zai-org/GLM-5.2	Kimi K2.7 Code
Provider	zai-org	Moonshot AI
Listed pricing route	zai-org	Moonshot AI
Model family	—	kimi-k2
Accepted inputs	text	text, image, video
Produced outputs	text	text
Context window	1MHigher	262.14K
Max output	131.07K	262.14KHigher
Input price / 1M	$1.40	$0.95Lower
Output price / 1M	$4.40	$4.00Lower
Reasoning mode	Documented	Documented
Tool calling	Documented	Documented
Image input	Not documented	Documented
Audio input	Not documented	Not documented
Structured output	Not documented	Documented
License	Not documented	Open weights

zai-org/GLM-5.2 vs Kimi K2.7 Code

zai-org/GLM-5.2

Kimi K2.7 Code

Key differences

Pricing, limits and capabilities

Which model should you choose?

Documentation and model profiles

Questions people ask

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