Muse Ember vs GPT-6 Luna
There is no quality verdict yet: the AIGROW small-business benchmark has not run either model. On price they match: both cost $0.10 in and $0.50 out per million tokens.
AIGROW credit covers Claude Opus 5.5, Claude Fable 5.2, Claude Fable 5.1, GPT-6 Astra, Claude Sonnet 5.5, GPT-6.1 Sol, GPT-6.1 Terra, Grok 4.7 and Gemini 4 Argon. GPT-6.1 Sol below list price
$25 a month brings $110 of API credit and cancels any time; $25 once buys $100. US dollars, standard rate, shortest context band. Price only: the benchmark has not run both.
- Muse Ember
- $0.50
- GPT-6 Luna
- $0.50
- Muse Ember, per M tokens
- $0.10 / $0.50
- GPT-6 Luna, per M tokens
- $0.10 / $0.50
3,000 tokens in and 400 out each, at list price.
Meta's and OpenAI's small models at the same $0.10 / $0.50 list price, with Ember's cache reads cheaper. 1,000 support replies cost $0.50 on either. Muse Ember was released on 9 Nov 2026, GPT-6 Luna was released on 22 Sep 2026.
What each one costs
The API price per million tokens and the cheapest app plan with each model, from the makers’ own pages. Each name opens that model’s full price page.
- Muse Ember
- On the Meta API, Muse Ember costs $0.10 per million input tokens and $0.50 per million output tokens.
- GPT-6 Luna
- On the OpenAI API, GPT-6 Luna costs $0.10 per million input tokens and $0.50 per million output tokens. In ChatGPT, it comes with the free plan, and the cheapest paid plan with it is Go at $8/mo. Plan prices read 14 October 2026.
Side by side
Each maker’s published rate for its standard tier. Cached input is what a repeated prompt prefix costs once the provider has stored it.
| Fact | Muse Ember | GPT-6 Luna |
|---|---|---|
| Maker | Meta | OpenAI |
| Tier | Small and fast | Small and fast |
| Input, per M tokens | $0.10 | $0.10 |
| Output, per M tokens | $0.50 | $0.50 |
| Cached input | $0.004 | $0.01 |
| Context window | 1.05M | 1.05M |
| Released | 9 Nov 2026 | 22 Sep 2026 |
| Weights | Closed weights | Closed weights |
What a job costs on each
1,000 runs of each job at the two list prices. The gap moves from job to job because the models price input, output and cached context differently.
| Job | Muse Ember | GPT-6 Luna | Cheaper |
|---|---|---|---|
| Support reply3,000 in, 400 out. | $0.50 | $0.50 | Even |
| Document summary25,000 in, 1,000 out. | $3.00 | $3.00 | Even |
| Agent task80,000 in (70,000 cached), 3,000 out. | $2.78 | $3.20 | Muse Ember, 13% less |
The token counts are ours, chosen to look like real work; the prices are the makers’. A model with no published cache price bills the agent task’s repeated context at its full input rate.
The small print
What each base rate leaves out, from the makers’ own pages: surcharges, discounts, promotions and cache pricing.
- Muse Ember
- Prices are for requests up to 200K input tokens. A longer request bills $0.30 / $1.50, cached $0.012, on all its tokens. No Contributor tier. Max output 524,288. Release date is the Meta AI research blog post date. Meta’s pricing page
- GPT-6 Luna
- Requests above 272K input tokens bill 2x input and 1.5x output ($0.20 / $0.75, cached $0.02). Cache write $0.125. Batch and Flex 50% off, Fast mode 2x. Data residency adds 10%. OpenAI’s pricing page
Other comparisons
Every head to head on the list that involves Muse Ember or GPT-6 Luna.
Compare Muse Ember and GPT-6 Luna with 52 other models
The price list sets every model’s input and output price side by side, with what a support reply, a document summary and an agent task cost on each.
Prices checked 12 November 2026