Cerebras Code

Adding entire files into the context window and letting the AI sift through it is a very wasteful approach.

It was adopted because trying to generate diffs with AI opens a whole new can of worms, but there's a very efficient approach in between: slice the files on the symbol level.

So if the AI only needs the declaration of foo() and the definition of bar(), the entire file can be collapsed like this:

  class MyClass {
    void foo();
    
    void bar() {
        //code
    }
  }

I am currently working on an editor that combines this approach with the ability to step back-and-forth between the edits, and it works really well. I absolutely love the Cerebras platform (they have a free tier directly and pay-as-you-go offering via OpenRouter). It can get very annoying refactorings done in one or two seconds based on single-sentence prompts, and it usually costs about half a cent per refactoring in tokens. Also great for things like applying known algorithms to spread out data structures, where including all files would kill the context window, but pulling individual types works just fine with a fraction of tokens.

If you don't mind the shameless plug, there's a more explanation how it works here: https://sysprogs.com/CodeVROOM/documentation/concepts/symbol...

If they say it costs $50 per month, why do you need to make additional payments?

This seems to be rate limited by message not token so the lack of cache may matter less

Pretty sure this is there to prevent this[1] from happening to them

[1] https://www.viberank.app/

To put this into perspective, github copilot Business license is 300 "premium" requests a MONTH.

1,000 messages per day should be plenty as a daily development driver. I use claude code sonnet 4 exclusively and I do not send more than 1,000 messages per day. However, that is my current understanding. I am certainly not pressing enter 1,000 times! Maybe there are more messages being sent under the hood that I do not realize?

It’s a true statement - no weekly limits, just a daily limit. Easier to work with when you can only get locked out of your tool for 23h59m

the distinction is from weekly limits of claude code.

Bait and switched their FAQ after the fact too. Come on Cerebras, it’s only VC money you’re burning here in the first place, let’s see some commitment to winning market share. :money: :fire:

At full pace that means 62 mins until you hit the daily cap.

I really wish Qwen3 folks put up an Anthropic-compatible API like the Kimi and GLM/Zai folks cleverly did — this makes their models trivially usable in Claude Code, via this dead-simple setup:

https://github.com/pchalasani/claude-code-tools?tab=readme-o...

API Error: 422 {"error":{"message":"Error from provider: {\"message\":\"body.messages.0.system.content: Input should be a valid string\",\"type\":\"invalid_request_error\",\"param\":\"validation_error\",\"code\":\"wrong_api_format\"}

This model is super quantized and the quality isn't great, but that's necessary because just like everyone else except for Nvidia and AMD

They shat the bed. They went for super crazy fast compute and not much memory, assuming that models would plateu at a fee billion parameters.

Last year 70b parameters was considered huge, and a good place to standardize around.

Today we have 1t parameter models and we know it still scales linearly with parameters.

So next year we might have 10T parameter LLMs and these guys will still be playing catch up.

All that matters for inference right now is how many HBM chips you can stack and that's it

Contradictions do not exist. Whenever you think that you are facing a contradiction, check your premises. You will find that one of them is wrong.

Unless I'm misunderstanding something. Cerebras Code is not equivalent to Claude Code or Gemini CLI. It's a strange name for a subscription to access an API endpoint.

You take your Cerebras Code endpoint and configure XYZ CLI tool or IDE plugin to point at it.

This doesn’t feel like a competitor. Amp does tho.