Move your team from Gemini to Claude Science.
Each person gets a short interview, then a personalized step-by-step guide showing exactly where their saved work, prompts, and projects land in Claude Science — and the few things that need a manual step, walked through. You send one invite; nobody becomes the help desk, and nothing in Gemini is changed or cancelled. Want to see where you’re paying for both first? Run the free audit.
Gemini's study notebooks turn uploaded course materials into diagnostic quizzes and personalized lessons with automatic progress tracking — a learning-focused artifact, not a research-output one. Claude Science's artifact provenance and Reviewer serve a different goal (verifying that a research result's figures/numbers/citations are consistent with the code and conversation that produced them), so a user coming from Gemini study notebooks looking for 'where do my study materials live and get tracked in Claude Science' will not find an equivalent — Claude Science has no quiz/lesson/progress-tracking feature at all. The realistic bridge is one-directional: a researcher could use Claude Science to produce and verify a research artifact, then separately build a Gemini study notebook from the resulting manuscript or notes to study the material, but that is a workflow composition, not a feature mapping.
- Warning: This pairing is a genuine capability gap, not a naming difference — Claude Science has no pedagogical quiz/lesson feature, and Gemini study notebooks have no code-execution provenance or automated claim-checking; treat this pattern as 'no direct equivalent' guidance for users searching for one.
- Warning: Gemini study notebooks are web-only (gemini.google.com), not available in the Gemini mobile app; Claude Science is desktop-only (macOS/Linux) — neither is optimized for cross-device parity, but for different reasons.
- Warning: A study notebook's learning goal is fixed at creation and cannot be edited afterward, unlike a Claude Science project which can accumulate new custom instructions and knowledge over time — if adapting this workflow, expect to create a new Gemini notebook per learning goal rather than evolving one.
- Warning: Gemini study notebooks sync with NotebookLM for flashcards/infographics; Claude Science artifacts have their own native viewers (molecular structures, genomic tracks, chemical structures) instead — the rendering ecosystems don't interoperate.
Claude Science runs Python/R/shell locally with persistent kernels tied to a session workspace folder, requiring local install and explicit approval for network/folder/remote-job access. Gemini's code execution instead runs inside a Canvas 'code' or 'app' mode session, hosted rather than local, producing charts, transformed data, or interactive web app previews; Python work can be one-click exported to a full Google Colab notebook when the user needs a persistent, more powerful environment beyond what Canvas itself offers. A researcher moving a local Claude Science analysis to Gemini should plan to treat Canvas as the lightweight entry point and Colab-export as the actual persistent-compute landing spot, since Canvas itself does not keep long-running kernels alive the way Claude Science's local sandbox does.
- Warning: Claude Science kernels persist state (loaded dataframes, models) across an entire session; Gemini's Canvas code execution has no equivalent persistent-kernel model on its own — persistence only really arrives after exporting to Colab, a separate product.
- Warning: Gemini's code execution supports JavaScript/HTML/CSS for interactive web apps in Canvas, which Claude Science's sandbox does not target (it's Python/R/shell for scientific analysis, not web app prototyping) — this is a capability Gemini has that doesn't map back.
- Warning: Claude Science requires local install (~5GB, OS prerequisites) with no web version; Gemini code execution runs entirely hosted inside gemini.google.com with no install, making Gemini strictly more accessible for casual or cross-device use, at the cost of the local persistent-kernel model.
- Warning: Gemini code execution has no separately published quota — it's folded into Gemini's compute-based usage limit per model/tier; Claude Science sandbox usage likewise has no dedicated quota, drawing from the shared Claude Code/Cowork/Science usage budget — neither side gives a clean per-feature cost comparison.
Claude Science's 60+ pre-configured scientific-database connectors (Ensembl, UniProt, PDB, AlphaFold, PubChem, ClinVar, etc.) have no counterpart in Gemini's Connected Apps/Integrations, which focus on Google Workspace (Gmail, Drive, Docs, Calendar) and consumer lifestyle apps (Spotify, WhatsApp, Instacart, OpenTable, Zillow). A researcher moving from Claude Science to Gemini for a project that leans on those domain databases should expect no native equivalent to enable — Gemini's integration surface is a business/consumer productivity story, not a life-sciences one, so scientific database access would have to come from manually fetched data, uploaded files, or Gemini's general web-search grounding rather than a purpose-built connector.
- Warning: This is a capability that does not translate: Gemini has nothing resembling Claude Science's curated scientific-connector catalog, so this pattern is really 'there is a gap' rather than 'here is the equivalent feature' — flag this clearly to any user attempting the move.
- Warning: Gemini's Connected Apps require Keep Activity to be on for most integrations, an activity-tracking dependency that has no analogue in Claude Science's per-connector approval model (Once/conversation/project/global scoping, no account-wide activity toggle).
- Warning: Claude Science's connectors are read-only and require no auth for the featured set; Gemini's Connected Apps generally require an explicit connect/OAuth-style permission flow per app — the two have different friction profiles even where overlap exists (e.g., generic file/data access).
- Warning: Gemini's GitHub Connected App (repo imports) and NotebookLM integration are the closest things to a 'connect external data for research' story on the Gemini side, but they serve code repos and personal notebooks, not curated public scientific databases.
Claude Science is architected local-first: conversation history and artifacts stay on the member's device, and only the per-step model prompt/response is sent to Anthropic, so large or sensitive datasets never leave the local machine except as small model calls. Gemini's file handling is the opposite model — files (documents, spreadsheets, code folders, GitHub repos, up to 100MB/2GB per file depending on type) are uploaded into the Gemini service itself, subject to per-plan size/context limits (32K tokens no-plan, up to 1M on Pro/Ultra) and requiring Keep Activity on plus Workspace connection for Drive-sourced files. A user moving sensitive research data from Claude Science to Gemini should recognize this as a data-residency downgrade in one direction (local-only to cloud-uploaded) or upgrade in the other (cloud-uploaded to local-only), not a neutral lateral move — compliance/data-handling review is warranted either way.
- Warning: Claude Science's local-first model means org-level Custom Data Retention and Org Data Export don't apply to it at all; Gemini's file uploads are subject to Workspace/Google account data-handling terms and admin retention policy, a fundamentally different governance surface — don't assume equivalent enterprise controls.
- Warning: Gemini's per-file and per-prompt limits (10 files/prompt, 100MB/file general cap, 2GB for video) are hard platform caps enforced server-side; Claude Science's local sandbox has no equivalent fixed cap beyond local disk space and the ~5GB runtime footprint, since files never need to be uploaded to a remote service in the same way.
- Warning: Claude Science explicitly states it is not intended for clinical or diagnostic use; confirm Gemini's Workspace file-handling terms and any relevant compliance certifications independently if the same sensitive-data constraint applies to the target workflow.
Claude Science's coordinating agent runs a persistent desktop research workspace with parallel-track delegation, live kernels, and manuscript drafting alongside analysis. Gemini's Deep Research is narrower in scope but the closest Gemini analogue for the planning-and-multi-step-research part: the model proposes an editable research plan, then autonomously browses many sources (optionally grounded in Workspace apps or NotebookLM notebooks) and produces a long-form cited report exportable to Google Docs or Canvas. The higher-tier 'Deep Research Max' (Gemini API, public preview) adds asynchronous background workflows combining Search with remote MCP servers, URL Context, Code Execution, and File Search, and can generate charts/infographics natively — closer in spirit to a coordinating-agent workflow than the consumer app's Deep Research, though it is not documented in the consumer app yet.
- Warning: Claude Science sessions persist as an ongoing workspace (folder, kernels, artifacts) that a user returns to repeatedly; Gemini Deep Research produces a discrete report per invocation with no persistent local workspace or kernel state to resume.
- Warning: Claude Science's delegation (forking a session into parallel analytical tracks) has no direct Gemini equivalent — Deep Research runs a single plan per invocation, not multiple comparable branches within one session.
- Warning: Gemini Deep Research Max is API-only public preview as of this writing, not available in the consumer gemini.google.com app — don't assume a consumer Gemini user can access the more agentic, workbench-like tier without going through the API/Cloud path.
- Warning: Claude Science is a local desktop app (beta, macOS/Linux only); Gemini Deep Research runs from any device via gemini.google.com, so platform availability is inverted between the two — Gemini is broadly accessible where Claude Science is not, and vice versa for local persistent compute.