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Benchmarks · composite

Vals RSI Index v1.1

Can a model do the research that builds the next model? Autonomous LLM R&D scored against frozen published, human, and frontier-model references. Overall score in percentage points.

21 models · 21 results · updated 2026-10-15 · vals.ai ↗

Leaderboard

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21 of 21 selected
Opus 5.5 max

More from this benchmark

6 published measures

Breakdown

darker is better within each column · click a column to sort
Model
Gemini 4 Argon max158.0M1.6M629k127.2M0
GPT-6 Sol max1622.0M1.4M592k1612.6M9.3M
GPT-6.1 Sol max202.6M1.9M1.5M192.2M9.8M
Grok 4.7 max191.6M926k542k170.6M0

All results

21 rows
#ModelEffortVals RSI Index v1.1
1Opus 5.5max37.3%
2Fable 5.1max36.1%
3Opus 5max33.0%
4Gemini 4 Argonmax30.6%
5GPT-6 Solmax28.1%
6GPT-6 Astramax27.1%
7GPT-6.1 Solmax26.6%
8Grok 4.6max25.5%
9Fable 5max24.3%
10Opus 4.8max24.0%
11GPT-5.6 Solmax23.9%
12GLM 5.3max22.9%
13Qwen 3.8 Maxmax21.8%
14Kimi K3max20.9%
15Grok 4.7max20.2%
16Gemini 3.8 Flashmax19.9%
17Muse Spark 1.3max19.6%
18Opus 4.7max19.1%
19Gemini 3.7 Flashmax18.3%
20GPT-5.5xhigh16.5%
21GPT-5.4xhigh15.5%