Muse Spark 1.2 Contributor
Meta · released Aug 21, 2026
- Type
- Closed
- Input
- $0.10
- Output
- $0.20
- Cached
- $0.002
List price · per 1M tokens · Meta at 1M context · source ↗
Our take
Written Sep 27, 2026Muse Spark 1.2 Contributor is a hosted-only model: we list no download for it, so using it means choosing a host. Nothing in our data measures how good its answers are, so the case for it rests on taking text, images, files, audio and video in one request, and on two hosts charging the same rate.
Reach for it when a single job mixes formats — a document, a screenshot, a recording and a clip can all go in beside the question — or when a long document would otherwise have to be split into chunks first. Both listed hosts charge the same rate, so pick between them on something other than price. Skip it if you need measured evidence of coding, reasoning or chat quality, or if you need to run the model on your own machine.
The case for it
- Text, images, files, audio and video all go into one request, so mixed material does not have to be converted before you ask about it.
- The request capacity takes long documents in one go, though whether it reliably uses material from the far end of a long input is unverified in our data.
- Meta and OpenRouter list the same rate, so the choice between them is not a price decision.
The case against it
- No benchmark scores are supplied, so chat, coding and reasoning ability all need a trial on work you can judge yourself.
- Neither host carries a measured speed, so nothing here says which one responds faster.
- No parameter count is published, so there is no size figure to weigh against the hardware you have.
How good is it?
We hold no score for this model.
So there is no figure here for everyday use, coding, agent work or writing. That is a gap in our data, not a low score.
Where to rent it
Prices checked 4 hours ago — each listing carries its own date.
Meta, through OpenRouter
The lab is also the cheapest we hold. The strip above and this offer are the same one, so nothing on this page undercuts Meta on 1M of context.
- per 1M tokens
- $0.10 in / $0.20 out
- Context served
- 1M
- Throughput
- ~144 tok/s
| Provider | In / out per 1M tokens | Context | Throughput | Trains on prompts | Logs prompts | Zero retention |
|---|---|---|---|---|---|---|
| OpenRouterOpenRouter's own listing | $0.10 / $0.20checked 4 hours ago | 1M | not measured | Unknown | Unknown | Unknown |
| MetaThrough OpenRouter | $0.10 / $0.20checked 4 hours ago | 1M944K max reply | 144 tok/s | No | Yes30 days | Unknown |
OpenRouterAcross the 2 listings we hold: 1 says it does not train on prompts, 0 say they do and 1 does not say. 0 appear in the zero-retention registry we check; the rest are unknown to us.
What each host's API supports
From the parameter list each endpoint publishes. Streaming is omitted: nothing we hold reports it, for any model.
| Provider | Tool calling | JSON output | Strict schema |
|---|---|---|---|
| OpenRouterOpenRouter's own listing | ✓ | ✓ | ✓ |
| MetaThrough OpenRouter | ✓ | ✓ | ✓ |
Tool calling: 2 of 2 listings say yes. JSON output: 2 of 2 listings say yes. Strict schema: 2 of 2 listings say yes.
Models people weigh against Muse Spark 1.2 Contributor
When we formed this view
Recent changes
What moved
first indexed by our pipelineEach date is the day we first saw the change, or the day the maker announced it.
What we do not know about this model yet
- No independent board has scored it, so we hold no quality figures at all.
- Nothing we hold says whether an endpoint streams, so we do not show it either way.
- 1 of 2 listings does not say whether it trains on prompts.
- We hold no batch or off-peak rate for any of its listings.
Licence and identifiers
What the licence allowsWe hold no licence record for this model. Inside are the identifiers you need to pull it — its Hugging Face repo where we have one, our slug and a machine-readable card.
Licence
We hold no licence record for this model, and no record of published weights either — so we can neither summarise its terms nor point you at the weights.
Identifiers
- Takes in, gives back
- Text, images, audio, video and documents in, text out
- Catalogue slug
- meta-muse-spark-1-2-contributor