Alpha Arena
Stop guessing which LLM to use.
Compare models on your real n8n workflows and OpenClaw (Clawdbot) agents and see your estimated monthly savings—without changing your code.
Shadow testing
Baseline handles production. Shadow gets a copy.
Scoreboard savings
Monthly savings extrapolated from your last 20 runs.
Pay as you go
$2 buys 20 requests. Monthly plans after free.
Real savings
What builders are saving
Actual cost reductions from production workloads.
Support ticket classifier
$137/mo
GPT-4o → Haiku (same success rate)
Lead enrichment workflow
-61% cost
Baseline → shadow model swap after 20 runs
Customer reply drafting
-320ms
Faster responses with the cheaper model
RAG Q&A
$94/mo
Cheapest model that still passes guardrails
Content summarizer
30–70%
Typical savings discovered in the first few runs
Support ticket classifier
$137/mo
GPT-4o → Haiku (same success rate)
Lead enrichment workflow
-61% cost
Baseline → shadow model swap after 20 runs
Customer reply drafting
-320ms
Faster responses with the cheaper model
RAG Q&A
$94/mo
Cheapest model that still passes guardrails
Content summarizer
30–70%
Typical savings discovered in the first few runs
The problem
You tweak prompts. You switch models. You hope it's cheaper and still good enough.
But you never really know.
Most teams only realize they chose the wrong model after the bill arrives.
Whether you're running n8n workflows or OpenClaw agents, Alpha Arena gives you the data to make confident decisions.
Real-world impact
Support ticket classifier workflow
SAVINGS
GPT-4o → Claude 3.5 Haiku
Baseline (GPT-4o)
$0.031 / run
Shadow (Haiku)
$0.009 / run
Monthly savings: $137
No benchmarks. No assumptions. Based on production runs.