The lack of caching causes the price to increase for each message or tool call in a chat because you need to send the entire history back after every tool call. Because there isn’t any discount for cached tokens you’re looking at very expensive chat threads.

Yes, but the new "thing" now is "agentic" where the driver is "tool use". So at every point where the LLM decides to make a tool use, there is a new request that gets sent. So a simple task where the model needs to edit one function down the tree, there might be 10 calls - 1st with the task, 2-5 for "read_file", then the model starts writing code, 6-7 trying to run the code, 8 fixing something, and so on...

Yup. If you’ve ever watched a 60+ minute agent loop spawning sub agents, your “one message” prompt leaves you several hundred messages in the hole.

No it’s by token. The FAQ says this:

> Actual number of messages per day depends on token usage per request. Estimates based on average requests of ~8k tokens each for a median user.

https://cerebras-inference.help.usepylon.com/articles/346886...

How did you find that? Are you sure it applies to Cerebras Code Pro or Max?