Muse Spark 1.1
Meta · released Jul 16, 2026
- Type
- Closed
- Input
- $1.25
- Output
- $4.25
- Cached
- $0.15
List price · per 1M tokens · Meta at 1M context · source ↗
Our take
Written Sep 2, 2026Muse Spark 1.1 is Meta's hosted-only multimodal model that can handle up to one million tokens in a single request. It scores strongly on mathematics and reasoning benchmarks, and carries identical pricing across its two providers.
Pick this for long-document or multimodal analysis at million-token scale, or for mathematics and reasoning workloads where its benchmark scores lead. Use it for coding and web development given its strong arena scores, or if you are already in Meta's ecosystem with direct API access. Skip it if you need open weights, strong autonomous agent behaviour, or above-average steerability in live sessions.
The case for it
- Exceptional mathematics performance on refreshed benchmark: 87.14% on LiveBench.
- Strong reasoning on monthly-refreshed tasks: 87.73% on LiveBench.
- One-million-token request limit for document and multimodal analysis.
- Competitive coding scores in human preference arena: 1530.86 and 1539.69.
The case against it
- Weak agentic coding in autonomous harness: 18.62 points below its standard coding score.
- Below-average steerability in live agent sessions, with a negative inverse-propensity score.
- Proprietary weights with no permissive licence available.
How good is it?
A general chat model for everyday questions, drafting and coding, though it can be slow to change course when you give new instructions.
- getting answers to everyday questionsArena Text (overall) · 10th of 168
- drafts, rewrites and editingArena Creative Writing · 14th of 168
- writing and completing codeArena Coding · 10th of 168
- changing course when you give new instructionsArena Agent · Steerability · 42nd of 55
EverydayGeneral questions and everyday reasoning
Arena Text (overall)10th of 168 · 1491
CodingWriting and fixing code on its own
Arena Coding10th of 168 · 1532
AgenticPlanning, calling tools, staying on task
Arena Agent39th of 55 · −0.039
WritingDrafting and rewriting prose
Arena Creative Writing14th of 168 · 1465
Placings on Arena's agent boards, from live sessions people ran themselves. A model can lead on one of these and sit mid-field on the others.
Boards this model appears on that none of the ratings above are built on.
Every published score for this model20 scoresEvery figure we hold, from 20 boards, with who ran it and a link to the source — including the boards no rating above is built on.
Where to rent it
Prices checked 1 hour 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
- $1.25 in / $4.25 out
- Context served
- 1M
- Throughput
- ~301 tok/s
| Provider | In / out per 1M tokens | Context | Throughput | Trains on prompts | Logs prompts | Zero retention |
|---|---|---|---|---|---|---|
| OpenRouterOpenRouter's own listing | $1.25 / $4.25checked 1 hour ago | 1M | not measured | Unknown | Unknown | Unknown |
| MetaThrough OpenRouter | $1.25 / $4.25checked 1 hour ago | 1M944K max reply | 301 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 1.1
When we formed this view
Recent changes
Each 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
- 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-1-1