RankingJobBench

JobBench

Data updated 12 Sept 2026

Bucket
Supporting evidence
Unit
percent
Direction
Higher is better
Version
Display harness
Muse Spark1.3 evaluation methodology
Board
https://research.meta.ai/static/muse-spark-1-3-multimodal-evaluation-methodology

The available records have no admitted matched comparison in the capability core. Raw results remain available below.

Compare published benchmark results with category weights →

Models

ModelScoreHarnessEvidenceSource-recorded date
Claude Opus 5Anthropic65.7%
Reported settings & source

65tasks; mean rubric score; official OpenCode harness and file-aware grader; reasoning max

Muse Spark1.3 evaluation methodology · PDF page4 performance table · reviewed 2026-09-06

Muse Spark1.3 evaluation methodologylab self-report2026-09-06
Muse Spark 1.3Meta64.9%
Reported settings & source

65tasks; mean rubric score; official OpenCode harness and file-aware grader; reasoning max

Muse Spark1.3 evaluation methodology · PDF page4 performance table · reviewed 2026-09-06

Muse Spark1.3 evaluation methodologylab self-report2026-09-06
GPT-5.6 SolOpenAI45.4%
Reported settings & source

65tasks; mean rubric score; official OpenCode harness and file-aware grader; reasoning max

Muse Spark1.3 evaluation methodology · PDF page4 performance table · reviewed 2026-09-06

Muse Spark1.3 evaluation methodologylab self-report2026-09-06
Muse Spark 1.2Meta61.6%
Reported settings & source

65tasks; mean rubric score; official OpenCode harness and file-aware grader; reasoning xhigh

Muse Spark1.3 evaluation methodology · PDF page4 performance table · reviewed 2026-09-06

Muse Spark1.3 evaluation methodologylab self-report2026-09-06
Muse Spark 1.3Meta61.2%
Reported settings & source

65tasks; mean rubric score; official OpenCode harness and file-aware grader; reasoning xhigh

Muse Spark1.3 evaluation methodology · PDF page4 performance table · reviewed 2026-09-06

Muse Spark1.3 evaluation methodologylab self-report2026-09-06