| name | llm-inference |
| description | Use when wanting to interact with any LLM - Explains available inference endpoints so the agent selects suitable models. |
| metadata | {"author":"dave1010"} |
LLM Inference
The Cloudflare Pages function functions/cerebras-chat.ts provides OpenAI-compatible LLM inference. See tools/cerebras-llm-inference/index.html for a working example.
Available models
| Model | Max context tokens | Requests / minute | Tokens / minute |
|---|
| gpt-oss-120b | 65,536 | 30 | 64,000 |
| llama-3.3-70b | 65,536 | 30 | 64,000 |
| llama3.1-8b | 8,192 | 30 | 60,000 |
| qwen-3-235b-a22b-instruct-2507 | 65,536 | 30 | 64,000 |
| qwen-3-235b-a22b-thinking-2507 | 65,536 | 30 | 60,000 |
| qwen-3-32b | 65,536 | 30 | 64,000 |
| zai-glm-4.6 | 64,000 | 10 | 150,000 |
llama3.1-8b is the fastest option.zai-glm-4.6 is the most powerful option.gpt-oss-120b remains the best all rounder.
LLMs are not just for chat: they can be used to process any string in any arbitrary way. If making a tool that requires the LLM to respond in a specific way or format then be very clear and explicit in its system prompt; eg what to include/exclude, plain/markdown formatting, length, etc.
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