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Benchmarks · composite

Vals RSI Index v1.1: Harness Engineering: Judge

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

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

Leaderboard

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21 of 21 selected
GPT-6 Sol max

More from this benchmark

6 published measures

Breakdown

darker is better within each column · click a column to sort
Model
GPT-6 Sol max819.2M552k310k817.3M2.0M
GPT-6.1 Sol max93.3M906k747k87.7M5.2M
Gemini 4 Argon max170.0M1.5M776k146.1M0
Grok 4.7 max163.3M825k500k149.4M0

All results

21 rows
#ModelEffortScore
1GPT-6 Solmax22.8%
2Fable 5.1max22.6%
3Grok 4.6max21.8%
4GPT-6.1 Solmax20.1%
5GPT-5.6 Solmax18.5%
6Fable 5max18.1%
7GLM 5.3max17.4%
8Opus 4.8max16.8%
9Opus 5max14.8%
10Opus 5.5max14.5%
11Gemini 3.8 Flashmax14.5%
12Muse Spark 1.3max14.5%
13Gemini 4 Argonmax13.9%
14Qwen 3.8 Maxmax13.5%
15Grok 4.7max11.3%
16Kimi K3max9.9%
17GPT-6 Astramax9.5%
18GPT-5.4xhigh8.7%
19Gemini 3.7 Flashmax8.4%
20Opus 4.7max5.6%
21GPT-5.5xhigh5.6%