Atlas

Benchmarks

← All benchmarks

RSI Arena Stage 1 human rating

Agents · 2026-10-24

Whether an AI agent can train a model people prefer. Ten agents each train the same base model, Nemotron 3.5 Lightning, for up to 144 hours with $300 of API credit and 1,000 GPU-hours, and people then compare the resulting models in blind side-by-side battles. The score is the trained model's style-controlled human rating, credited to the agent that trained it. Unrelated to Vals' RSI Index.

Benchmark source: Rsiarena

Top models (higher is better)

ModelScoreSource
GPT-6 Astra1095RSI Arena paper Table 3 (GPT-6 Astra, rating) · Bake AI
Grok 4.71038RSI Arena paper Table 3 (Grok 4.7, rating) · Bake AI
MiMo-V2.6-Pro1025RSI Arena paper Table 3 (MiMo-V2.6-Pro, rating) · Bake AI
GLM-5.31024RSI Arena paper Table 3 (GLM-5.3, rating) · Bake AI
MiniMax M3.1 Flash1002RSI Arena paper Table 3 (MiniMax M3.1 Flash, rating) · Bake AI
Kimi K3982RSI Arena paper Table 3 (Kimi K3, rating) · Bake AI
Gemini 3.8 Flash981RSI Arena paper Table 3 (Gemini 3.8 Flash, rating) · Bake AI
Muse Spark 1.3938RSI Arena paper Table 3 (Muse Spark 1.3, rating) · Bake AI
Step 5 Preview934RSI Arena paper Table 3 (Step 5 Preview, rating) · Bake AI
DeepSeek V4.1 Flash887RSI Arena paper Table 3 (DeepSeek V4.1 Flash, rating) · Bake AI
Loading Atlas data…