34
Intelligence Index
Above 91% of 112 other free models
Z.
Z.ai: GLM 5.2
GLM 5.2 is a large-scale reasoning model from Z.ai. It supports text input and output with a 1M-token context window, and is suited for long-horizon agent workflows, project-level software engineering, and complex multi-step automation. Reasoning efforts `high` and `xhigh` are supported; `xhigh` maps to max reasoning. It is particularly strong at coding and tool use across long-running tasks, able to maintain engineering context and follow standards consistently through a full development workflow, from requirements to multi-platform deployment, in a single task.
- Input
- text
- Output
- text
- Joint #10 for intelligence
- 1M context
Providers
Available through 1 free provider. Use the model ID and API settings below to connect.
* The provider match may differ from this model. Check its docs for details.
Benchmarks
Compare scores and explore results by category.
68.8
Coding Index
Above 89% of 64 other free models
39.4
Agentic Index
Above 86% of 45 other free models
Bars show scores from other free models on this site. The marker shows this model’s score. Comparisons include only models with a score for that index.
Scores from Artificial AnalysisFrequently asked questions
Free access, setup, and what to expect.
GLM 5.2 is available with up to 12 requests / minute free through Onomeo. Free allowances can change. Check the GLM 5.2 provider limits before you start.
To use GLM 5.2, choose one of the listed GLM 5.2 API providers and follow the provider’s account and API-key setup guide. Copy the GLM 5.2 model ID and connection settings for your chosen provider into your app or API client. Model IDs can differ between providers. API requests go directly to the provider; Free Models is a comparison site.
GLM 5.2 accepts text as listed input formats. Listed output formats include text. Image or audio input support does not imply image or audio generation. Check the chosen provider’s GLM 5.2 documentation for supported file types and request formats.
GLM 5.2 has a listed context window of 1M tokens. Tokens are small pieces of content rather than a word count. Instructions, conversation history, and other inputs use context space, and the response also needs room. The maximum output length for GLM 5.2 may be smaller than the context window and can vary by provider.
GLM 5.2 has both reasoning and tool calling listed as supported capabilities. Reasoning enables additional processing for complex problems. Tool calling allows a model to request functions that your app executes. Check the chosen provider’s documentation for capability availability and setup.
Review the listed GLM 5.2 benchmark results to compare performance on measured tasks. Compare scores within the same benchmark: coding indexes, Elo ratings, and win rates measure different things. The index comparison charts include only scored free models listed on Free Models. Evaluate GLM 5.2 on examples from your own task alongside context size and provider limits.