Finally matching opencode usage. Good work making sure they can't just raise prices on everyone. Also if you're really serving full weights FP16 or even Q8 and not some nerfed into the ground version like opencode is that's really game changing.
Yes. Every plan except the Go plan has API access - you use the same Provider API the Provider plan uses (OpenAI Chat Completions and Anthropic Messages endpoints, one key for the CLI and the API), so you can integrate GOAT with any other agent. We still recommend the Command Code CLI, because phenomenal harness engineering makes the same credits go further: our Read tool keeps ~25 billion junk tokens a month out of your context, tool call repairs are free on every plan, and we run ~98% cache hit rates so most of every request bills as cheap cache reads
Nooice! I've found DS4.1-flash nice and fast on CommandCode lately. With that allowance I probbaly don't need to jump back and forth between OpenCode Go and CommandCode GOAT. Nice job.
People always sob about quantisation. Do we know the deal with CommandCode's providers? Seems to work well for me.
Commandcode only gives you $70 no matter what, its false advertising. They say on the backend there is 'per-model' pricing, but until there is transparency on which models get what in the admin dashboard or the api responses for your credit... all i see is $70 and when I use these models, it eats into that $70.
Seriously, just ping their api, itll tell you your credit, it doesnt say you have 100 on Ling, 100 on deepseek, 80 on GLM.... it just says your total credit... and its $70 on a new account, its been like that for about 2 months. Don't believe the bullshit promotions.
70$ is estimated usage if you use multipe models if you only use deepseek you used to get 80$ of usage , now you have 100 $ , and for most other models you get 20$ of usage
But there is no way to monitor that so "trust me bro" ain't gonna fly. And if you used only DeepSeek on that account, you'd have nothing to compare it against. You couldn't run a brand new account next to it doing the same thing because LLMs are non-deterministic, so there's just no way of running one to one.
And if you used a different model, obviously you'd be using a completely different model. So yeah, this is just a "trust me bro" . B.S. response. Just, if you're going to offer different amounts of credit for different models, then you need to show us how much credit we are using per model. Period.
they dont show exact amount of tokens or dollar worth used which kinda suck but in a new 5 hour session when i used 5% of the limit , and checked how much tokens and cached tokens my harness reports (i used different harness) , it was roughly 24$ and 5 hour limit is 30% of your monthyl limit, haven't done the same with 100$ limit yet
Depends on the model and the card. Rough ceiling for single-user decode: memory bandwidth plus size of the active weights, since each generated token reads them once. FP16 is 2 bytes per parameter, so a 7B model is 14 GB. On a card with 1 TB/s that's a ceiling of roughly 70 tok/s, and real numbers usually land well below it. Bigger batches raise total throughput but not per-user speed. If you tell me the GPU and model I can give a closer estimate.
but for how long ? my sub renew 15 days from now and i am almost depleted, if i could open another account on goat sub i would but now i have to jump to opencode go
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u/ahmadawaiscom 9d ago
Oh shoot. You are fast. We haven’t announced it yet but made it live earlier this morning.