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Zhipu: glm-5.2:free

glm-5.2:free
1M context131.1K outReasoningToolsParallel toolsCacheStructured
Released Jun 16, 2026Updated Aug 27, 2026

GLM-5.2 is the flagship model for the era of long tasks. It supports truly usable 1M context and has been tested to be capable of handling project-level engineering contexts. Long-term tasks are executed more stably and engineering standards are followed more reliably, resulting in a further increase in the success rate of development scenarios. A single task can complete the entire development chain from requirements to multi-platform deployable products.

Mode chatTokenizer OtherQuantization fp8zai-org/GLM-5.2

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Inputs used for the providers' own purposes

At least one provider of this model uses your inputs for its own purposes, for example to train AI models. Do not enter personal data of third parties or sensitive data. You can object to this use at any time in your account settings or via "Manage consents" in the chat.

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Pricing

Input price
$0.00/ 1M tokens
Output price
$0.00/ 1M tokens
Context window 204.8K tokensCompatible endpoints openai, openai-response, anthropicVendor Zhipu

Uptime

Performance

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Usage & Ranking

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Supported parameters

All providers = every upstream serving this model supports it. Some providers = depends on which upstream handles the request. Default = the value sent when you leave the parameter unset.

ParameterProvidersDefault
frequency_penaltyAll providersNot sent by default
include_reasoningAll providers-
logit_biasSome providers-
logprobsAll providers-
max_tokensAll providers-
min_pSome providers-
parallel_tool_callsSome providers-
presence_penaltyAll providersNot sent by default
reasoningAll providers-
reasoning_effortAll providers-
repetition_penaltyAll providersNot sent by default
response_formatAll providers-
seedAll providers-
stopAll providers-
structured_outputsAll providers-
temperatureAll providers1
tool_choiceAll providers-
toolsAll providers-
top_kAll providersNot sent by default
top_logprobsAll providers-
top_pAll providers0.95

Frequently asked questions

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