Model record
Muse Spark 1.1 model overview
Muse Spark 1.1 is a api + app model from Meta. Its release date was unavailable during review. Its strongest case is managed million-token context, while buyers should account for exact release date and parameters are unavailable.
Muse Spark 1.1 benchmark snapshot
| Evaluation | Reported score | What it probes |
|---|---|---|
| MMLU-Pro | Not reported | Broad knowledge and multi-step reasoning |
| GPQA Diamond | Not reported | Graduate-level science reasoning |
| SWE-bench Verified | Not reported | Verified real-repository issue resolution |
| LiveCodeBench | Not reported | Contamination-aware competitive programming |
| SWE-Bench Pro | Not reported | Longer, harder professional software tasks |
| Artificial Analysis Intelligence Index | Not reported | Composite third-party capability index; version matters |
Scores are percentages reported by model creators or benchmark maintainers under varying settings. A blank is preferable to an inferred result. See our methodology.
Muse Spark 1.1 strengths
- Managed million-token context
- Multimodal reasoning and agent positioning
- API and app preview access
Muse Spark 1.1 limitations
- Exact release date and parameters are unavailable
- Pricing and complete API limits are unavailable
- No downloadable weights or weight license were verified
Editorial take: Benchmark rank should narrow a shortlist, not close a purchase. Run a private evaluation with representative prompts, failure cases, latency targets, and total token costs.
Source record
Specifications and scores are linked to the best source located during review. Provider-reported results are not presented as third-party lab reproductions.
Source limitation: Public-preview access was verified. The evidence does not establish downloadable weights, a weight license, exact pricing, or a complete API-directory contract.
Read Meta Muse Spark announcement ↗