Should you use GLM-5.2?
GLM-5.2 is listed for chat workloads and supports a 1.0M context window.
Use it when LLM7.io's free tier is enough for evaluation, demos, or light production traffic.
Open flagship GLM for long-horizon coding agents and million-token context work
https://api.llm7.io/v1 glm-5.2 | Benchmark | Score | Metric | Date |
|---|---|---|---|
| SWE-Bench Pro | 62.1 | resolve rate | 2026-06-16 |
| Terminal-Bench | 82.7 | success rate | 2026-06-16 |
| FrontierSWE | 74.4 | dominance | 2026-06-16 |
| Humanity's Last Exam | 40.5 | accuracy | 2026-06-16 |
GLM-5.2 is listed for chat workloads and supports a 1.0M context window.
Use it when LLM7.io's free tier is enough for evaluation, demos, or light production traffic.
We only found this GLM-5.2 listing on LLM7.io in the current catalog. Use the related models section for nearby alternatives.
View LLM7.io setup guide →| Model | Provider | Context | Access |
|---|---|---|---|
| gpt-oss:20b | LLM7.io | 128K | Check provider |
| mistral-Nemo-Instruct-2407 | LLM7.io | 128K | Free tier |
| minimax-m2.7 | LLM7.io | 180K | Free tier |
| DeepSeek-V4-Flash-0731 | LLM7.io | 400K | Free tier |
| deepseek-r1-0528 | LLM7.io | 131K | Check provider |
GLM-5.2 is tagged for chat in this catalog and works with OpenAI-compatible client libraries.
GLM-5.2 is listed with free API access on LLM7.io, subject to the provider's quota and account policy.
The model ID shown in this catalog is glm-5.2.
The listed context window is 1.0M tokens with up to 131K output tokens.
Free GLM-5.2 API.
For API keys, setup steps, and provider-level limits, see the LLM7.io provider page.