That's almost half way to their stated 6X usage goal! Just from DeepSeek.

> With Go, you pay $10/month and we aim to give you 6x that in usage.

For most models, we make this work through bulk discounts and reserved GPU capacity. We then pass those savings on to you through the 6x multiplier.

https://opencode.ai/docs/go/#why-some-models-have-lower-usag...

I think it's back to 2X usage, meaning it's cheaper token-burn than usual to use. Which is lovely.

OpenCode Go has been so nice to have. I love having access to DeepSeek, Qwen and MiniMax M3 when doing design work, to see what different models cook up. I've been very surprised with MiniMax M3, not as a particularly good architect, but at it's very good ability to state the problem elegantly & to frame the different decision points very well. That's been a fun ongoing surprise.

Since the announcement of DeepSeek price hike, I have been using MiniMax M3 and I am really surprised by the quality this model spits out. Subjectively speaking, the bullshit MM3M produces is waaay less than DS0731. Could it be a result of less hallucinations than DS0731? https://artificialanalysis.ai/evaluations/omniscience#aa-omn...

Maybe hallucination is good for prototyping and creative work, but maintaining and debugging code might be better done by a boring model?

Don’t forgot a number of models they have offered to you will train on your data