Muse Spark · MMMU-Pro · AA implementation ↗
1 more reported result
87.4 % · Muse Spark · MMMU Pro · Accuracy · Vals AI · MMMU Pro ↗
Meta / MODEL EVIDENCE
31 benchmarks · 33 observations · 33 sources · released 2026-04-08
31 benchmarks · large dot: Muse Spark; small dots: closest models where reported
Muse Spark · MMMU-Pro · AA implementation ↗
87.4 % · Muse Spark · MMMU Pro · Accuracy · Vals AI · MMMU Pro ↗
Muse Spark · IFBench · AA implementation ↗
Muse Spark · Terminal-Bench Hard ↗
Muse Spark · GPQA diamond · Best score (across scorers) · % ↗
89.65 % · Muse Spark · GPQA Diamond · Accuracy · Vals AI · GPQA Diamond ↗
Muse Spark · FrontierMath-2025-02-28-Private · Best score (across scorers) · % ↗
Muse Spark · FrontierMath-Tier-4-2025-07-01-Private · Best score (across scorers) · % ↗
Muse Spark · OTIS Mock AIME 2024-2025 · Best score (across scorers) · % ↗
Muse Spark · HLE · Accuracy · % ↗
Muse Spark · CritPt · Accuracy · % ↗
Muse Spark · ProofBench · Accuracy · % ↗
Muse Spark · SciCode · Score · % ↗
Muse Spark · WebDev Arena · Elo ↗
Muse Spark · General ECI · 26 October 2026 fit ↗
Muse Spark · LegalBench · Accuracy ↗
Muse Spark · CaseLaw · Accuracy ↗
Muse Spark · CorpFin · Accuracy ↗
Muse Spark · TaxEval · Accuracy ↗
Muse Spark · MedCode · Accuracy ↗
Muse Spark · MedScribe · Accuracy ↗
Muse Spark · AIME · Accuracy ↗
Muse Spark · MMLU Pro · Accuracy ↗
Muse Spark (OpenHands) · Vibe Code Bench · original task set ↗
Muse Spark (Mini-SWE-agent) · SWE-bench Verified · Score ↗
Muse Spark · SWE Atlas - Test Writing · Score ↗
Muse Spark · Scale Labs · Score ↗
Muse Spark · Scale Labs · Score ↗
Muse Spark · Scale Labs · Score ↗
Muse Spark · Scale Labs · Score ↗
Muse Spark · Scale Labs · large ↗
Muse Spark · Scale Labs · Risk elicitation score ↗
Muse Spark · Scale Labs · Score ↗
Similar positions on shared benchmark leaderboards. Smaller gaps are closer.
17 of 25 shared benchmark comparisons
18 of 25 shared benchmark comparisons
Mean absolute gap in percentile positions on shared benchmark settings; lower is closer. At least 60% overlap is required, with a minimum of three when available. Independent evaluations are used when there are at least three; otherwise published report comparisons are used. Repeated model observations within one setting are averaged before ranking. Writing-style traits and composite indices are excluded. This describes similarity, not an overall quality ranking.
Every plotted observation links to its evaluation. Reported configurations, benchmark versions and task subsets can differ; similarity describes shared scores, not training lift.
Muse Spark · Muse Spark (Mini-SWE-agent) · Muse Spark (OpenHands)