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Vals RSI Index v1.1 (historical five tasks)

Agents · 2026-09-21

Historical mean of five autonomous AI research campaign scores on reference-anchored logarithmic scales. Zero is the starting baseline, 50 a selected published, human or model reference, and 100 the theoretical best. Each campaign uses a native coding agent, maximum reported effort, a persistent Marimo notebook and a fixed 12–30 hour resource budget. Preserved for comparison; excluded from the capability fit because the current four-task revision reuses these campaigns.

Top models (higher is better)

ModelScore
Claude Opus 5.537.1
Claude Fable 5.135.0
Claude Opus 532.1
GPT-6 Astra29.0
Claude Fable 524.5
Opus 4.823.2
GLM-5.323.1
GPT-5.6 Sol23.1
Kimi K321.7
Grok 4.621.5
Opus 4.720.1
Muse Spark 1.318.7
GPT-5.517.9
Gemini 3.8 Flash17.6
GPT-5.415.3
GPT-5.215.2
Kimi K2.55.2
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