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Benchmarks · composite

Vals RSI Index v1.1: Post-training: Finance Agent

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 Post-training: Finance Agent score in percentage points.

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

Leaderboard

Chart settings
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
GPT-6 Sol max3205.7M3.1M991k3189.8M15.8M
Gemini 4 Argon max250.0M2.3M627k188.7M0
GPT-6.1 Sol max285.1M3.0M2.2M270.6M14.1M
Grok 4.7 max230.8M692k271k195.7M0

All results

21 rows
#ModelEffortScore
1Opus 5.5max35.1%
2Opus 5max31.8%
3Fable 5.1max28.0%
4GPT-6 Solmax16.3%
5Gemini 4 Argonmax15.4%
6GPT-6 Astramax7.8%
7Fable 5max0.0%
8Opus 4.7max0.0%
9Opus 4.8max0.0%
10Gemini 3.7 Flashmax0.0%
11Gemini 3.8 Flashmax0.0%
12GLM 5.3max0.0%
13GPT-5.4xhigh0.0%
14GPT-5.5xhigh0.0%
15GPT-5.6 Solmax0.0%
16GPT-6.1 Solmax0.0%
17Grok 4.6max0.0%
18Grok 4.7max0.0%
19Kimi K3max0.0%
20Muse Spark 1.3max0.0%
21Qwen 3.8 Maxmax0.0%