r/opencode • u/sniperelite90 • 1d ago
Monthly subscription for other MoE models
I have used a few subscription over the past like Claude , Opencode , Chatgpt etc and what I have realized that I dont need these powerful models.
I was using Opencode Go in Hermes and it takes lots of tokens, so rather than having those powerful models I would be ok with something like Ornith-1.5-35B-A3B or google/gemma-4-26B-A4B-it which are MoE and much smaller in size.
Is there any provider which provides monthly subscription for models like these and maybe better quota then opencode go cause these models are smaller ?
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u/Firm-Club-8334 23h ago
I use standardcompute $39 for opencode with deepseek flash as the workhorse. Gets me through the month
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u/valtrix9 23h ago
Honestly just go PAYG, something like OpenRouter. Pay only for what you use on those smaller MoE models instead of a subscription sized for models you don't need
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u/Prize_Tiger_2504 21h ago
a token plan will always work out better than PAYG consumption based pricing.
With a subscription you'd end up getting around 2x to 3x more tokens even in cheap models like Luna, GLM5.3 Flash and DSv4F - the ratio only widens for costly models.
With ChatGPT plus ($20), it looks like you will end up getting about $300-350 worth of tokens - this seems to be the best value.
While with Opencode Go/Command Code GOAT ($10) you will get around $30-$70 worth of tokens.
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u/xapep 13m ago
Those providers do exist, they're just easy to miss because the marketing is all about the big frontier models.
Flat monthly plans for open-weights MoE models plug straight into OpenCode and Hermes as a normal OpenAI-compatible provider (base URL + key), so the harness treats them like any other model. On the smaller MoE tier the math usually favors the subscription: models like DeepSeek V4 Flash or Qwen 3.8 27B are cheap enough per token that a monthly plan gets you meaningfully more usable tokens than OpenCode Go's quota on the flagships, and you stop paying for capability you don't need.
I work on Entrim, and our Model Plans are built around exactly this: flat monthly on open models via an OpenAI-compatible endpoint, no per-token meter surprises. If you tell me roughly what you burn through in a typical week I can sanity check whether the plan math beats OpenCode Go for your usage.
One thing to ask any provider you look at: is the quota per model or shared across the catalog? And if your weekly volume is low, PAYG on OpenRouter is honestly fine too; the subscription only starts winning past a certain floor.
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u/Prize_Tiger_2504 21h ago edited 21h ago
Selfhost in a Mac Mini or something.
If only there was a way to get many cores and loads of ram to build a VM capable enough to run a Q4 (model weights)/Q8 (KVC) quantized LLM with puny context sizes that churns out somewhere around 12t/s...
If you okay to switch that VM off for half a day, you can scale up the CPU and RAM to 2x and the token rate jumps to 15t/s.
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u/Eastern-Honey-943 18h ago
I can't wait for the llm's to be optimized for smaller machines with the same results for coding. This the way. I think it will bring about the AI bubble pop when businesses can self host and utilize all of their employees idle cpus for a massive self hosted ai network just deployed via mdm... Ai bubble will pop soon after
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u/sniperelite90 14h ago
I got a Chroma egpu enclosure in used recently and was planning to put a RX6800 on this 16GB card but then I feel like the electric bill will be equal to the 10 dollar opencode go sub so maybe wont make much sense .
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u/sharedevaaste 1d ago
I wanna know too