Pyyan / News / 3 September 2026

MoneyMeta

Meta will cut your bill by 95% if it can keep your prompts

21xcheaper output, for training rights

The same Meta model costs $4.25 per million output tokens, or $0.20. The difference is not the model. It is whether Meta may train on what you send it.

Muse Spark's Contributor tier prices input at $0.10 per million against $1.25 standard, and output at $0.20 against $4.25. That is 21 times cheaper on output and roughly 95% off overall, for a model that is identical by every published specification. The only thing that changes is permission: prompts and completions may be used to train future Meta models. It is aimed at people running coding agents, which is to say at the highest volume users of the thing.

Why this one is different

Free tiers that train on you are old. Pricing the permission explicitly, on the same model, at a published discount, is not. It turns a privacy question into a line item, and it does it for agentic coding, where the prompts are somebody's source code and the completions are the diff. There is a second price the headline does not mention: Contributor is capped at 100 requests a minute against Standard's 3,000, so the cheap tier is also thirty times slower to draw from.

The model is identical. The price is for the permission.

How we got here

  1. 14 Aug 2026Alibaba releases Qwen3.8-27B under Apache 2.0. Download the weights, run them, and nothing leaves the building.
  2. 26 Aug 2026Zhipu ships GLM-5.3-Flash under the MIT licence, on the same terms.
  3. 2 Sep 2026Meta ships Muse Spark 1.3, using about 25% fewer tokens than 1.2 for the same work.
  4. 3 Sep 2026The Contributor tier appears. Same model, 95% off, in exchange for the right to train on what you send.

What it does and does not mean

Nothing here is concealed. The terms are published, the discount is published, and a developer who does not want the trade can pay the standard rate for the identical model, which is more than most free tiers offer. It is also not evidence that Meta reads anybody's code: training on data and looking at it are different operations, and only the first is described. What it does establish is a price. Meta has now said in public what a developer's prompts and completions are worth to it, and the answer is about 95% of their inference bill. The rate limit says what it thinks of the people who take the offer.

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