How big should an LLM panel be?

Three models is the floor; seven is the practical ceiling. Siglieri defaults to a five-model council with auto-selected chairman, and Pro users can expand to the full 7-model panel.

Can I save a panel as a template?

Yes — Pro users save panel configurations and persona packs for repeat use on Siglieri.

Do all LLMs in the panel see the same context?

Yes. The query, attachments, and memory context are broadcast to every panel member in parallel at Stage 1 of the deliberation pipeline.

A panel of LLMs is the smartest way to ask hard questions.

A panel of LLMs is a curated set of large language models that work together on a single query. Siglieri lets you assemble your panel, run it through structured deliberation, and walk away with one defensible answer instead of six conflicting drafts.

Try the LLM Panel Free →

What is a panel of LLMs?

A panel of LLMs is the modern equivalent of a panel of human experts — except your panel is GPT-4.1, Claude 3.7 Sonnet, Gemini 2.5 Pro, Qwen 2.5 72B, Nemotron 70B, DeepSeek V3, and Mistral Large, available 24/7 and able to deliberate in parallel in under two minutes.

Each model brings different training data, different reasoning strengths, and different potential blind spots. Running them as a structured panel — not just side-by-side — surfaces the disagreements that reveal where the real risk lies in a decision.

How to assemble your LLM panel on Siglieri

Pick 3–7 frontier models from the council roster
Choose a chairman or let OpenClaw auto-select the best model for your domain
Enable Red Team mode for adversarial challenge of the panel's recommendation
Add persona packs from the marketplace for sector expertise: Legal, Finance, Healthcare, Engineering
Upload documents (PDF, Word, Excel, PowerPoint) for the panel to analyze together

Panel deliberation pipeline

Siglieri runs the panel through 4 structured stages:

Independent analysis — every LLM answers in isolation, no cross-contamination
Peer review — models critique each other's work anonymously, flagging errors and blind spots
Red Team — adversarial agents attack the strongest recommendation to surface failure modes
Chairman synthesis — final report with consensus score, dissent summary, and action items

The 7-model LLM panel

Model	Provider	Strength
GPT-4.1	OpenAI	General reasoning, structured output
Claude 3.7 Sonnet	Anthropic	Long-context, nuanced analysis
Gemini 2.5 Pro	Google DeepMind	Multimodal, document analysis
Qwen 2.5 72B	Alibaba DAMO	Multilingual, STEM reasoning
Nemotron 70B	NVIDIA	Scientific and technical reasoning
DeepSeek V3	DeepSeek AI	Math, code, analytical depth
Mistral Large	Mistral AI	EU regulatory context, enterprise

Why a panel of LLMs matters now

Frontier model capability is no longer dominated by a single lab. GPT, Claude, and Gemini each lead in different domains — and that leadership changes with each new release. A panel of LLMs gives you best-in-class coverage by default, regardless of which model is currently on top. Built in partnership with the Canadian Fintech Research Institute (CFRI).

Frequently Asked Questions

What is a panel of LLMs?: A panel of LLMs is a curated set of large language models that answer the same question together, then get synthesized into one final answer by a chairman model. Siglieri's panel: GPT-4.1, Claude 3.7 Sonnet, Gemini 2.5 Pro, Qwen 2.5 72B, Nemotron 70B, DeepSeek V3, Mistral Large.
How big should an LLM panel be?: Three models is the floor; seven is the practical ceiling. Siglieri defaults to a five-model council with auto-selected chairman. Pro users can expand to the full 7-model panel.
Can I save a panel as a template?: Yes — Pro users save panel configurations and persona packs for repeat use on Siglieri.
Do all LLMs in the panel see the same context?: Yes. The query, attachments, and memory context are broadcast to every panel member in parallel at Stage 1. Each model forms an independent uninfluenced position before peer review begins.