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How to get a second opinion from ChatGPT and Gemini inside Claude

Copy and paste, llm-council, PAL MCP or Kirat: four ways to let ChatGPT and Gemini check Claude's answer, compared on setup, price, API costs and where your data goes.

Updated 19 Oct 2026

One AI model can be confidently wrong. Ask a second and a third model the same question, and the places where they disagree show you exactly what to check before you act. This guide compares four ways to get that second opinion from ChatGPT and Gemini while you work in Claude, from free and manual to a ready-made extension. Figures come from each project’s own page as of 19 October 2026.

The short answer

  • You only need a second opinion now and then: copy the question into ChatGPT and Gemini yourself. Free, no setup.
  • You want a council in a browser window and are fine with a terminal: llm-council — free, runs locally, uses one OpenRouter key.
  • You work in Claude Code and want many providers: PAL MCP — free and open source (Apache 2.0), with its own consensus tool.
  • You want it inside Claude Desktop without a terminal: Kirat — $149 once ($99 for the first 50 buyers), plus API fees at OpenAI and Google.

When a second opinion is worth it

A council of models helps when there is a decision with options, not a fact to look up:

  • Choices with trade-offs: WooCommerce or Shopify, raise the price or not, which of three headlines.
  • Code review: a second model often catches what the first one wrote and then overlooked.
  • Answers you cannot check yourself: when two of three models disagree, that is your cue to read the source.

It is not worth it for quick facts, simple rewrites or anything where a wrong answer costs nothing. Every extra model adds API fees and waiting time.

The four options compared

Checked Copy and paste llm-council PAL MCP Kirat
What it is Three chat windows Local web app MCP server for coding tools Claude Desktop extension and Claude Code plugin
Works in Any browser Its own browser window Claude Code, Codex CLI, Gemini CLI, Cursor and others Claude Desktop chats (macOS, Windows), Claude Code
Setup None Python 3.10+, Node.js, .env file Python 3.10+, uv, terminal Install dialog in Claude Desktop, or plugin commands in Claude Code
Models Whatever you open Many, via OpenRouter Many providers, including local models Claude, ChatGPT and Gemini
How the result is formed You compare Models rank each other, a chairman model writes the answer Consensus tool collects positions Vote, two-of-three majority, dissent kept
Spending limit Your chat plans Not described Not described Daily budget, $5 by default
Price Your existing plans Free Free, open source $149 once, plus API fees
Maintained — Author: “I don’t intend to improve it” Not stated Compatibility updates “when possible”, no support

What it costs to run

The free tools are free to install, but every option except copy and paste calls the models through their APIs, and the providers bill you per use.

  • Kirat reports $0.02 to $0.15 in API fees per council decision in its own measurements, depending on effort level and input size, and 8 seconds to 3 minutes per decision. Generating an image costs about $0.05 to $0.20.
  • llm-council runs through OpenRouter credits that you buy in advance.
  • PAL MCP uses the API keys of the providers you connect, or free local models through Ollama.

Whichever you pick, set a monthly spending limit at OpenAI and Google yourself. Kirat’s daily budget is a best-effort guard, and in Claude Code cloud sessions it counts per session, not per day. The AI credits guide explains why usage-based bills are hard to predict.

Where your questions go

All four send your question, and any code or documents you add, to the model providers. Copy and paste runs under your chat accounts and their settings. Kirat and PAL MCP call OpenAI and Google directly under your own API keys and the providers’ API terms. llm-council routes every request through OpenRouter, so a third company sees your questions. Kirat states that it has no server, no account system and no telemetry, and keeps its logs in a .kirat folder on your computer.

If your question contains customer data, the provider’s API terms and data processing agreement are what count — see AI tools and the GDPR. If data may not go to OpenAI or Google at all, none of these options fits, except PAL MCP with local models.

Kirat: what to check before you buy

Kirat (affiliate link) is the only paid option here. What you get and where it stops, from its terms as of 19 October 2026:

  • One-time purchase, no subscription. One licence covers one person on any number of their own devices.
  • Needs your own OpenAI and Gemini API keys with billing enabled. It runs with one key, but then the council has only one outside member.
  • Does not run in the claude.ai browser chat, in chat in the Claude mobile apps or in Cowork tasks in the cloud. Claude Code cloud sessions need a one-time setup.
  • Refund only if Kirat does not run in a supported setup and the problem cannot be fixed, within 14 days. Missing API keys and use in the browser chat are excluded.
  • No support with installation or use; the setup guide is all there is.

Which one should you pick?

  • Occasional decisions: copy and paste. It costs nothing and shows you whether a second opinion changes anything for you.
  • Comfortable in the terminal: try PAL MCP or llm-council first. If one of them covers what you need, you do not need to pay for anything.
  • You work in Claude Desktop and want it built in, with keys in your system’s secure storage, a daily budget and the objection kept on record: Kirat.

Sources