Comment by LoganDark
15 hours ago
Please do not try to use gpt-oss-120b over Cerebras. It is broken, screws up tool calls most of the time, forgets to end thinking blocks and has all sorts of other issues. The speed is amazing but it is absolutely not worth it, especially at that quite incredible cost. Think: $5–10/minute levels of cost with a single agent, because Cerebras also offers no cache pricing for input tokens at all.
Not been my experience, I have it using tool calls in a video game I am building and it correctly adheres ~99% of the time.
I have it retry on failure, but you should do that with any LLM really.
I kept having experiences with gpt-oss-120b on Cerebras where it would get stuck in a thinking block and then start endlessly saying things like "Running the command now." or "Making the changes now." and then simply repeating similar sentences like that forever instead of actually making the tool call. It made tool calls other times, so it wasn't an issue with tool calls being impossible, but it just wasn't doing a good job of using them for real instead of simply saying it would. So this was not an issue of it starting a tool call and then putting invalid syntax inside of it, it just would not make the tool call it was supposed to whatsoever. There's no automatic way to retry that.
Which is wild because it does, in fact, do caching
> There is no additional fee for using prompt caching. Input tokens, whether served from the cache or processed fresh, are billed at the standard input token rate for the respective model.
So what he’s saying is correct, there is no separate cache pricing, which by normal standards should be 10% of the cost, which can become exceedingly expensive for anything other than single turn. The way they are stating this is of course strange..
Yea i had some pretty meh results using gpt-oss-120b it in my evals where it should have benefited speed alot but it really under performed what i was expecting.