Moamao

For the answers you can't afford to get wrong.

Claude88.6%GPT82.6%
Moamao94.8%your models, combined

Keep your Claude and GPT plans. Moamao is the second opinion for the prompts you can't afford to get wrong — a panel of frontier models you choose, one answer you can trust.

no signup, no install — runs on our servers in a few seconds

moamao cloud · mixture pipeline
you ask

live mixture
recorded run · real mixture output
free in beta · metered per token at GA

Name three failure modes to check in a database migration plan. Be brief.

The panel disagrees

Draft 1

Database downtime, data corruption, performance degradation.

Draft 2

1. Inconsistent foreign key relationships 2. Incorrect data types (e.g., numeric vs. string) 3. Incorrect or missing indexing requirements

Propose4.1s

Moamao Cloud

Critique1.3s

Moamao Cloud

Aggregate0.2s

Moamao Cloud

One model vs. the mixture

one member, alone

Data loss, incorrect data integrity, and performance issues.

Moamao Cloud — synthesized

Data Integrity Issues, Performance Degradation, Data Corruption

1304 tokens · recorded from a real run

Claude88.6%GPT82.6%Gemini63.8%GLM77.8%MiniMax80.2%DeepSeek80.6%Qwen80.4%Compatible with all modelsMoamao94.8%

You've become the aggregation layer.

Model roulette

The leaderboard flips every few months — and every flip means migrating your prompts and habits again.

Three tabs, one merge

You already ask Claude88.6%, GPT82.6%, and Gemini63.8% side by side — then reconcile all three answers by hand.

Context doesn't migrate

Your daily driver knows your codebase; the hot new model knows nothing. Switching costs you the context that made answers good.

How a run works: three layers, one trace.

01

Propose

Your prompt fans out to up to four models from different providers, answering in parallel.

panel: ["claude-*", "gpt-*", "gemini-*", "deepseek-*"]
02

Critique

Each model reads the others' drafts and revises — weak claims get challenged before they reach you.

layers: 2 // propose → critique
03

Aggregate

A judge synthesizes the strongest answer and marks where the panel disagreed.

aggregator: "auto"

Built for people who ship with LLMs.

Bring your own keys

Anthropic, OpenAI, Google, or any OpenAI-compatible endpoint — your keys, your accounts, your rates. No fixed internal roster to trust instead of your own.

ANTHROPIC_API_KEY · OPENAI_API_KEY · GOOGLE_API_KEY · openai-compatible

Smart routing

Easy prompts skip the panel and go to one fast model — a quarter of a run.

route: single-fast · usage.runs: 0.25

Metering that matches compute

BYOK bills per run; Moamao Cloud bills per token across the whole mixture.

usage.runs: 1 · usage.tokens: 8412

Full traces

Every draft, critique, and judge decision is stored — replay any run to see which model contributed what.

trace[3].role: "judge" · disagreements: 2 · replay: /runs/rn_8f3k

Streaming output

The aggregator streams as it synthesizes — mixture answers feel like chat, not a batch job.

"stream": true

Panel presets

Tuned panels for code review, research, and long-form — or pick your own models and how many run.

balanced-4 · code-review · research · longform

Your keys, or our servers.

Two ways to run — switch per request with one field.

BYOK — your keys

"compute": "byok"

Connect your Anthropic, OpenAI, Google, or OpenAI-compatible keys. Usage bills to your own accounts at your rates, for a flat orchestration fee per run.

from $0.02 / run · your provider rates apply

Moamao Cloud — our managed mixture

"compute": "moamao-cloud"

Our managed mixture endpoint — zero provider setup. Runs the full propose–critique–aggregate mixture on managed capacity, metered per token, with a matching monthly credit on every plan.

metered per token · plan credit matches your plan price

Watch every token.
Pay for the run.

Every call returns a trace: exactly how many tokens each model spent inside your mixture, model by model, priced into the one Moamao call automatically. And on BYOK, none of it changes what we charge — orchestration is a flat fee per run, with no markup on token usage, so a panel that thinks twice as hard costs you the same fee. On Moamao Cloud, the same trace is exactly what per-token metering bills against.

terminal
curl https://moamao.com/api/v1/runs \
  -H "Authorization: Bearer $MOAMAO_KEY" \
  -d '{
    "input": "Review this migration
              plan for failure modes."
  }'

// → "answer": "...",
// → "trace": [
//     { "stage": "propose" },
//     { "stage": "critique" },
//     { "stage": "aggregate" }
//   ]
// → "usage": { "total_tokens": 8412 }
// one auditable run · metered per token
// (BYOK over the API lands at GA —
//  run BYOK in Build today)

Two strong models. One stronger answer.

Claude88.6% and GPT82.6% are each strong on SWE-bench alone — as a mixture, the panel reaches higher than either. Neither model needed to get bigger; running them together closed the gap.

SWE-bench Verified · published single-model scores, Jul 2026

Claude · Claude Opus 4.888.6%
GPT · GPT-5.582.6%
the two, run as one Moamao mixture94.8%
+7% over the best single model

Questions, answered plainly.

No. A router picks one model and forwards your prompt. Moamao runs several models against each other — draft, cross-critique, synthesis — and returns one answer no single model produced alone. Routing is included, but it's the floor, not the product.

Ready when you are.

Free account, BYOK from day one, API key in under a minute.