aiaimodel.cards
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OSWorld

Operating a real desktop through screenshots, mouse and keyboard to finish tasks across common apps.

Your workloadRAG over docs · 12K in · 600 out · 50K requests/mo · 30% cached
  1. 1Claude Opus 4.7 · Anthropicbest value
    78.0%
  2. 2Claude Opus 4.5 · Anthropicbest value
    66.3%

“Best value”: no other model here reports a higher score at a lower cost for your workload. Scores are self-reported by each maker with different settings, so treat close calls as ties.

How each maker reported it

  • Claude Opus 4.7 Table 8.1.A, p.191–192

    Opus 4.7 uses adaptive thinking at max effort with default sampling, averaged over 5 trials (Terminal-Bench 2.0 with thinking disabled; Finance Agent at high effort). Competitor figures come from the developers' own published cards or leaderboards.

  • Claude Opus 4.5 Table 2.3.A, p.19

    Average of 5 trials with a 64k thinking budget, 200k context, default (high) effort and default sampling. SWE-bench, τ²-bench and MCP Atlas are without extended thinking; Terminal-bench uses a 128k budget (57.8% at 64k). GPT-5.1 MMMU is from the MMMU leaderboard.

Only each model's own maker's number is shown; scores a maker reports for rival models are left out.