Council AI vs LLM Council

Council AI vs LLM Council: synthesis depth vs peer-review rigour

LLM Council runs a strict three-stage pipeline — independent answers, then anonymous peer review where every model ranks the others as "Response A/B/C", then a chairman model that synthesizes the ranked set. It is the most methodologically explicit product in the category, and it publishes its own production evidence on model self-preference bias. Council AI runs a comparable parallel fan-out with moderator synthesis and a numeric consensus score, then adds the two things LLM Council does not ship: a personal RAG library so every model reads your own documents, and an MCP server so the whole council is callable from Claude Desktop, Cursor, Windsurf, and Claude Code. Pick LLM Council if blind peer-ranking is the feature you care about most. Pick Council AI if you want the council to reason over your own corpus and to live inside your existing tools.

Try Council AI — 3 days from $1 See pricing

Where Council AI wins

Personal RAG library on Ultra — every model in the fan-out retrieves from your own PDFs, Word docs, and notes before answering
MCP server (Ultra) — invoke the council from Claude Desktop, Cursor, Windsurf, and Claude Code instead of a web app
39+ models across 9 labs in one subscription, with a hard monthly budget cap rather than per-run effort tiers
Persistent memory, plus one-click import of your existing ChatGPT or Claude memory
Native web search across the providers that support it, inside the same chat
council_review — send a diff and get a verdict-first, multi-model code review (SHIP/NO-SHIP with attributed dissents)

Where LLM Council wins

Anonymous peer review is a first-class, explicitly documented stage — models rank each other blind before synthesis
Publishes production evidence from its own platform (including measured model self-preference across tens of thousands of paired judgments), which is rare transparency in this category
Clear, well-written explainer content on what an LLM council is and when the pattern is worth the cost
Free tier lets you try the full workflow daily without paying
Chairman-synthesis framing is closer to Karpathy's original llm-council design if that lineage matters to you

Head-to-head: Council AI vs LLM Council

Feature	Council AI	LLM Council
Core pipeline	Parallel fan-out → moderator synthesis → numeric consensus score	Independent answers → anonymous peer ranking → chairman synthesis
Anonymous peer review	Moderator sees responses anonymized during synthesis	Explicit dedicated ranking stage
Personal RAG library	Yes — Ultra tier, retrieval into every model	Not offered
MCP server	Yes — Ultra tier, hosted at mcp.council-ai.app	Not offered
Persistent memory	Yes, plus ChatGPT/Claude memory import	Not advertised
Free tier	No — subscription only	Yes, limited daily runs
Published methodology data	Consensus score explained, no public dataset	Publishes peer-review statistics from production

When to pick which

Council AI

Research over your own documents

You need the council to read a contract, filing, or research folder you upload.

Council AI

Calling a council from your IDE

You want council_query and council_review inside Cursor or Claude Code.

LLM Council

Blind peer-ranking as the headline feature

You specifically want models to rank each other anonymously before synthesis.

LLM Council

Trying the pattern for free first

You want to test multi-model deliberation without a subscription.

Pricing

LLM Council offers a free daily allowance plus paid tiers that scale model-pool strength, context length, and council effort. Council AI is subscription-only — Plus $19.99/mo, Pro $39.99/mo, Ultra $99.99/mo — with each tier defined by a hard monthly budget cap rather than per-run effort settings, and annual plans starting with a paid 3-day trial ($1 / $2 / $5). Ultra is the only tier that includes the personal RAG library and the MCP server.

See full pricing →

Frequently asked questions

Is LLM Council the same as Karpathy's llm-council?

No. Andrej Karpathy's llm-council is an open-source local web app that seeded the category's vocabulary. LLM Council (llmcouncil.ai) is a separate commercial product from Evolo Pty Ltd, an Australian company in Brisbane, that builds a hosted product on the same three-stage idea.

Which one has more models?

Council AI runs 39+ approved frontier models across 9 labs. LLM Council seats a model pool that scales with your tier rather than publishing a single fixed count, so the honest answer is that Council publishes a larger and more explicit lineup.

Does either let me use my own documents?

Council AI does, on the Ultra tier — you upload PDFs and Word docs to a personal RAG library and every model in the fan-out retrieves from it. LLM Council does not advertise a comparable per-user document library.

Can I call either from Claude Code or Cursor?

Council AI Ultra exposes a hosted MCP server, so the council appears as native tools inside Claude Desktop, Cursor, Windsurf, and Claude Code. LLM Council does not currently offer an MCP endpoint.