Model card
Muse Spark.
Meta
§ 02 · Benchmarks
Every benchmark Muse Spark has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | HLE | Reasoning · Multi-step Reasoning | accuracy | 40.6% | #5 | — | source ↗ |
| 02 | SWE-bench Verified | Agentic AI · SWE-bench | resolve-rate | 77.4% | #12 | — | source ↗ |
Rank column shows this model’s position vs all other models scored on the same benchmark + metric (competitors after the slash). #1 in red means current SOTA. Sorted by rank, then newest result.
§ 03 · Strengths by area
Where Muse Spark actually performs.
§ 05 · Related models
Other Meta models scored on Codesota.
§ 06 · Sources & freshness
Where these numbers come from.
scale-hle-official
1
result
editorial
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result
2 of 2 rows marked verified.