How do their growth rates compare?

Alpha Arena (Nof1) has a month-over-month growth rate of -53.8%; RAFA has +76%.

How does pricing compare?

Alpha Arena (Nof1): Contact for Pricing. Alpha Arena is a research benchmark rather than a subscription product, so there is no published consumer pricing. Access to related models, data or research collaboration is handled through direct contact with the Nof1 team. RAFA: Freemium. Freemium-style access: browsing the leaderboard, tape and methodology is free, and the Arena can be tried with free testnet USDC on Base Sepolia. Mainnet, real-money rounds are planned after activation and launch checks; consult RAFA's docs and terms for current availability and risks.

What are alternatives to Alpha Arena (Nof1) and RAFA?

Other tools in related categories include Code Arena, LuxAlgo, Design Arena, Aime, Surge AI.

Alpha Arena (Nof1) vs RAFA — Traffic (19.79K vs 14.42K), Pricing & Verdict

Open AI Tools

Alpha Arena (Nof1) vs RAFA — Traffic (19.79K vs 14.42K), Pricing & Verdict | Open AI Tools

Side-by-Side Traffic & Specification Matrix

Dimension / Metric	Alpha Arena (Nof1)	RAFA
Official Domain	nof1.ai	rafa.ai
Pricing Model	Contact for Pricing	Freemium
Monthly Visits	19.79K (19,788)	14.42K (14,415)
MoM Traffic Delta	-23.04K (-53.8%)	+6.23K (+76%)
Primary Market & Share	🇺🇸 United States (45.6%)	🇧🇩 Bangladesh (54.9%)
Direct Visits / mo	10.73K	6.05K
User Rating	4.2	4
Supported Platforms	Website	Website

Alpha Arena (Nof1)

A live-trading arena where frontier AI models trade real money in real markets

Real-money live trading

Participating AI models trade crypto perpetual futures with actual capital instead of simulated paper accounts, so results reflect real market friction.

Standardized model harness

Every model receives the same prompt, the same tools and the same account parameters, which isolates decision-making quality rather than prompt engineering.

Public leaderboard

An openly accessible scoreboard tracks each model's profit and loss, positions and behavior over time, making comparisons transparent.

Evolving, non-stationary benchmark

Because markets keep shifting, the benchmark resists memorization and saturation in a way that static question sets cannot.

Strengths & Pros

+Uses real capital and real markets, making results far harder to game than static tests
+Standardized prompts and tooling keep the comparison between models fair
+Public leaderboard makes performance claims verifiable and easy to follow
+Backed by a research team with deep experience across top AI labs and trading firms