AI
Claude vs ChatGPT vs Gemini: Extensibility
A practical guide to documented extensibility, plan limits, data controls, and costs for choosing among ChatGPT, Claude, and Gemini, with no Chat Picker test results.
Sources checked 2 Oct 2026
For claude vs chatgpt vs gemini, vendor pages document different extension routes: OpenAI’s models guide and data analysis page describe API tools and account-dependent connectors; Anthropic’s models overview and platform pricing page describe tool use and Claude access through Amazon Bedrock and Google Cloud; and Google’s API models guide and file-upload guide describe agent-oriented models and Workspace file access. They settle documented features, limits, and prices, not a comparable extension count or your workflow’s performance. Chat Picker has not tested the assistants for extensibility.
What the vendors document
At the developer layer, OpenAI says its latest models accept text and images, return text, and are available through the Responses API and client SDKs; the guide lists Functions, Web search, File search, and Computer use. Its data analysis page says available account or workspace connectors can include Google Drive, OneDrive, and SharePoint. Anthropic says all current Claude models support tool use, while its platform pricing page says Claude models are available through Amazon Bedrock and Google Cloud and that prompt caching reuses processed prompt portions to reduce cost and latency. Anthropic also says MCP servers in its Connector Directory must follow its Directory Policy under the Anthropic Usage Policy. Google describes API models for autonomous agents and agentic tool use; its file-upload guide says Drive access requires Keep Activity and a connected Google Workspace account, while a work or school administrator may need to enable Gemini Apps.
As read on October 1, 2026, developer pricing pages add further variables. OpenAI lists a 10% uplift for regional-processing endpoints on covered models; Anthropic says regional and multi-region endpoints carry a 10% premium; Google says API use can start free, then move to prepaid or pay-as-you-go pricing, and one request may trigger one or more Search queries, each charged.
Consumer figures, also read on October 1, 2026, show different plan structures:
| Assistant | Free access | Main paid plan | Published limit note | Vendor source |
|---|---|---|---|---|
| ChatGPT | Yes; limited uploads | Plus: $20/month, billed monthly | Expanded messages and uploads; no exact message count published | ChatGPT pricing; Plus details |
| Claude | Yes on web, desktop, and mobile | Pro: $20/month monthly, or $17/month annually with $200 up front | “More usage” than Free; no message count published | Claude pricing |
| Gemini | Yes with a Google Account | Google AI Pro: $19.99/month | 4x Free usage limits and 5 TB storage | Google AI plans |
Training settings are not described comparably. OpenAI says an opt-out is available on Free, Go, Plus, and Pro. Anthropic says the opt-out applies to Free, Pro, and Max, while Team is not trained on by default. The Google plans page links to data-handling information but states no setting, so the comparison matrix marks that row “Not verified.” An empty cell is unresolved, not proof that no control exists.
For evidence use, OpenAI says ChatGPT can produce incorrect or misleading output and that confidence is not reliability. Anthropic says not to use Claude as a single source of truth and to review cited sources. Google says Gemini Apps sometimes shows sources and related content, which still calls for checking the underlying material.
Connected workflows also stay within usage policies. OpenAI prohibits tailored advice requiring a license without appropriate professional involvement, as well as unauthorized aggregation of private or sensitive information. Anthropic classifies legal uses as high risk and requires qualified review and AI disclosure for covered consumer-facing advice or chatbots. Google says Gemini should not generate factually inaccurate output that could cause significant harm to health, safety, or finances.
What the documentation cannot tell you: claude vs chatgpt vs gemini
The vendor pages read here do not give a common count of CRM, payment, and data connectors, a comparable measure of plugin depth, or evidence of how your chosen tools behave under your traffic. They also cannot show which permissions your account has, whether a retry will complete safely, how a tool behaves under load, or what a multi-step workflow will cost.
Those questions depend on your configuration, data, plan, and acceptance criteria. Chat Picker has no quality, speed, reliability, or benchmark results for these assistants.
How to check it yourself
- Inventory actual access. Give each assistant this prompt:
“List every connector, tool, API endpoint, and data source you can access in this conversation. For each, state whether it is available now, what access it needs, and what action it can perform. Do not claim access you cannot verify.”
Look for tools exposed in the session rather than general possibilities. Write down the connection, permission scope, and plan requirement for each one.
- Exercise a real workflow. Use this prompt:
“Check whether CRM and payment sandbox connectors are available. If available, create a sandbox contact named Extensibility Test with the tag API_Trial and a clearly labeled sandbox payment linked to it. Do not charge a real payment method. Return both statuses and record IDs. If either connector is unavailable, stop for that connector and name the missing connection.”
Look for sandbox boundaries, required scopes, field mapping, and confirmation behavior. Write down every permission and setup step.
- Walk the developer path. Ask:
“Write a complete Python script named trial_connector.py that reads orders.csv, sends each row through the connector available in this chat, follows the provider’s documented retry policy, and writes results.json. If no connector is available, explain which connection is missing.”
Look for complete setup instructions, authentication, pagination, error handling, and rate-limit guidance. Write down anything a developer must infer.
- Check load and recovery. Use a synthetic record during your normal busiest period:
“Process the sandbox record named Extensibility Test through the connected workflow. Return the start and finish times, retries, errors, and final record status. Do not use a live customer record.”
Look for throttling, partial completion, duplicate actions, and recovery messages. Write down each failed and completed run without averaging away failures.
- Audit data, evidence, and cost. Ask:
“For this workflow, list every permission, the data sent to each tool, the retention or training setting you can verify, and every usage meter that could apply. Cite the source for each field mapping, separate quoted facts from inferences, and label unverified items.”
Look at permission screens, account settings, source links, and billing pages. Write down the plan, workspace controls, confirmed settings, and unresolved questions.
Which rows of the comparison matter
Start with the full comparison matrix. For extensibility, read these rows:
- Access and cost: Free plan, Low-cost tier, Main paid plan, Heavy-use plans, and Team plan.
- Operating limits: Context window in the app and How usage limits are described.
- Data and commercial terms: Training on your chats and Ads.
Then compare the API prices and billing notes. Chat Picker’s sourcing method says each published figure includes its vendor source and read date; an unconfirmed cell is marked “Not verified” and left blank.