Meta
Muse Glimmer
Part of Meta’s Muse family. Registry facts are limited to what Meta states on its own pages, each linked to where we found it. Benchmark results carry their own source and provenance label.
CurrentVerified against official sources
Verified facts
“source” links to the official page each value was confirmed on
- Organization
- Meta
- Family
- Muse
- Release date
- (announced)source for Release date (external site)
- Context window
- 131,072 tokensStated as “131,072+ (HF card); '128K tokens by default; longer contexts supported' (Meta dev docs)”source for Context window (external site)
- Max output tokens
- Not verified
- Knowledge cutoff
- January 4, 2026 (model card)source for Knowledge cutoff (external site)
- Input modalities
- Text, Imagesource for Input modalities (external site)
- Output modalities
- Textsource for Output modalities (external site)
- Weights
- Open weightssource for Weights (external site)
- API model ID
- Not verified
- Status
- Current
- Last verified
Reported benchmark results
4 results on file. Scores are copied exactly as published, with the settings the source stated. Rows are different measurements — compare a score only with others in the same benchmark variant, via the variant link.
| Benchmark | Variant | Model detail | Score | Settings (as stated) | Source | Evidence |
|---|---|---|---|---|---|---|
| AIME | 2026 — see all AIME results for this variant | High Reasoning | 94.7%No CI reported | High Reasoning | Show excerpt for Muse Glimmer (High Reasoning) on AIME, 2026“| AIME 2026 | **94.7** | 89.2 | 94.1 |” Retrieved | |
| GPQA Diamond | No variant stated — see all GPQA Diamond results for this variant | High Reasoning | 83.5%No CI reported | Full 198-question set; high reasoning; temperature 1.0, top_p 0.95, top_k 64. The model card marks the row “(AA)”; Meta’s linked methodology report states GPQA Diamond results are sourced from Artificial Analysis. | Third-partyArtificial Analysis (republished by Meta)Muse Glimmer model card (Meta, Hugging Face) — source for Muse Glimmer (High Reasoning) on GPQA Diamond, No variant stated (external site) | Show excerpt for Muse Glimmer (High Reasoning) on GPQA Diamond, No variant stated“| GPQA Diamond (AA) | 83.5 | **85.7** | 84.2 |” Retrieved |
| SWE-bench Verified | No variant stated — see all SWE-bench Verified results for this variant | High Reasoning | 76.0%No CI reported | High reasoning; scaffold with a bash tool and a file-operation tool; average pass rate over 500 tasks, averaged across 4 runs (Meta methodology report). | Show excerpt for Muse Glimmer (High Reasoning) on SWE-bench Verified, No variant stated“| SWE-Bench Verified | 76.0 | 66.6 | **77.2** |” Retrieved | |
| Terminal-Bench | 2.1 — see all Terminal-Bench results for this variant | High Reasoning | 51.7%No CI reported | with terminus2; High Reasoning. Meta’s linked methodology report states Terminal-Bench 2.1 results are sourced from Artificial Analysis (Terminus 2 harness in an E2B sandbox; 89 tasks). | Third-partyArtificial Analysis (republished by Meta)Muse Glimmer model card (Meta, Hugging Face) — source for Muse Glimmer (High Reasoning) on Terminal-Bench, 2.1 (external site) | Show excerpt for Muse Glimmer (High Reasoning) on Terminal-Bench, 2.1“| TerminalBench 2.1 (with terminus2) | 51.7 | 43.4 | **60.7** |” Retrieved |
- Vendor-reported:
- Published by the organisation that built the model. Not independently reproduced.
- Third-party:
- Measured and published by an independent evaluator.