Muse Spark 1.2 Contributor
Meta released 2026-08-21 proprietary
No independent quality score.
No benchmark we track has measured this model. That is not the same as measuring it and finding it wanting — we simply cannot rank it, so we do not.
Our take
editorial — not a measurementA deliberately cheap tier of Muse Spark 1.2 at $0.10/$0.20 with the same 1M context and full multimodal input, plus a $0.002 cache-read rate that is the lowest in the dataset. If the capability is anywhere near the flagship's, the price-per-capability is extraordinary. Meta describes it as aimed at developers starting out at low cost, which implies throughput or priority constraints that are not documented anywhere reachable. Worth a serious evaluation precisely because the published numbers look too good.
Strengths
- $0.10/$0.20 with a 1M context window
- $0.002 cache reads — lowest in the dataset
- Full multimodal input including audio and video
- Same nominal architecture as the 1498-Elo flagship
Weaknesses
- Undocumented constraints implied by the 'contributor' framing
- No benchmark score of its own
- No first-party pricing page
- Relationship to flagship quality is unverified
Reach for it when
- Cost-floor multimodal experimentation
- High-volume cache-heavy pipelines
Avoid it if
- You need documented SLAs or throughput guarantees
- Production work where undocumented limits are unacceptable
Sources: openrouter.ai
Every price dimension
| Input | $0.100/M |
|---|---|
| Output | $0.200/M |
| Cached input | $0.0020/M |
| Web search | $0.0025/call |
Independent scores
No independent benchmark has measured this model.
Capability
| Context window | 1.0M |
|---|---|
| Input modes | text, image, video, file, audio |
| Tool use | yes |
| Reasoning | always on |
| Open weights | no |
Provenance
| Price source | openrouter.ai |
|---|---|
| Fetched | 2026-08-24 |
| Quality data | unrated |
| Cross-checked | vendor page |
Muse Spark 1.2 contributor tier is a reasoning model from Meta designed for developers who want to start building at an even lower cost. It’s meaningfully cheaper than Muse Spark...