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RankingOSWorld partial · 2.0 08.08

OSWorld partial · 2.0 08.08

Data updated 12 Sept 2026

Bucket: Agentic
Unit: percent
Direction: Higher is better
Version: 2.0 08.08
Display harness: Muse Spark1.3 evaluation methodology
Board: https://research.meta.ai/static/muse-spark-1-3-multimodal-evaluation-methodology

Compare published benchmark results with category weights →

Models

Model	Score	Harness	Evidence	Source-recorded date
Claude Opus 5Anthropic	68.3% Reported settings & source 108tasks; common internal GUI framework; execution-based checkers; partial metric; reasoning max Muse1.2 uses older06.24tasks; all others08.08. Do not compare these versions as identical. Muse Spark1.3 evaluation methodology · PDF page4 performance table · reviewed 2026-09-06	Muse Spark1.3 evaluation methodology	lab self-report	2026-09-06
Muse Spark 1.3Meta	66.9% Reported settings & source 108tasks; common internal GUI framework; execution-based checkers; partial metric; reasoning max Muse1.2 uses older06.24tasks; all others08.08. Do not compare these versions as identical. Muse Spark1.3 evaluation methodology · PDF page4 performance table · reviewed 2026-09-06	Muse Spark1.3 evaluation methodology	lab self-report	2026-09-06
GPT-5.6 SolOpenAI	62.7% Reported settings & source 108tasks; common internal GUI framework; execution-based checkers; partial metric; reasoning max Muse1.2 uses older06.24tasks; all others08.08. Do not compare these versions as identical. Muse Spark1.3 evaluation methodology · PDF page4 performance table · reviewed 2026-09-06	Muse Spark1.3 evaluation methodology	lab self-report	2026-09-06
Muse Spark 1.3Meta	59% Reported settings & source 108tasks; common internal GUI framework; execution-based checkers; partial metric; reasoning xhigh Muse1.2 uses older06.24tasks; all others08.08. Do not compare these versions as identical. Muse Spark1.3 evaluation methodology · PDF page4 performance table · reviewed 2026-09-06	Muse Spark1.3 evaluation methodology	lab self-report	2026-09-06