Meta
partialShows if the model has enough results for an index.Muse Spark 1.3 Max
Muse Spark 1.3 Max is a model from Meta. 6 benchmarks count toward its score, in 2 categories.
IndexOverall score out of 100.Unranked
CoverageShare of the index weight with results.40%
SpeedOutput tokens per second.—
Input / 1MUS dollars per 1M input tokens.N/A
Output / 1MUS dollars per 1M output tokens.N/A
ContextMaximum tokens in one request.N/A
EloLMArena rating and rank.N/A
The index is a score out of 100. The ± range shows how much it can change.
CapabilitiesScore per category, out of 100.
Out of 100Results
6 counted| BenchmarkThe test name. | CategoryThe capability that the test measures. | ResultThe score from the publisher. | IndexThis result as a score out of 100. | RunThe settings of the run. | DateDate of the result. | Published byThe source of the result. |
|---|---|---|---|---|---|---|
| Vibe Code Bench v1.1 | Coding | 85.9% | 77.9 | OpenHands | 21 Sept 2026 | Vals AI |
| Terminal-Bench 2.1 | Agentic | 79.0% | 70.7 | — | 21 Sept 2026 | Vals AI |
| IOI | Coding | 56.6% | 70.3 | — | 21 Sept 2026 | Vals AI |
| Code Migration | Coding | 47.4% | 75.3 | — | 21 Sept 2026 | Vals AI |
| Terminal-Bench 4.0 | Agentic | 27.8% | 79.0 | — | 21 Sept 2026 | Vals AI |
| Vibe Code Bench 1-100 | Coding | 20.5% | 74.3 | OpenHands | 16 Sept 2026 | Vals AI |
6 benchmarks count, from 6 of 6 results. A grey row does not count. Too few models took that benchmark.