{ "data": { "a": { "slug": "gemini-spark", "name": "Gemini Spark", "vendor": "Google LLC", "vendorUrl": "https://gemini.google/us/overview/agent/spark/", "kind": "platform", "category": "personal-assistants", "summary": "Gemini Spark is Google's hosted personal AI agent inside the Gemini app. It runs tasks and schedules in Google's cloud across Gmail, Calendar, Drive and other connected apps for Google AI Pro and Ultra subscribers.", "url": "https://www.anchorterminal.com/tools/gemini-spark", "markdownUrl": "https://www.anchorterminal.com/tools/gemini-spark.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/gemini-spark.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/gemini-spark.json", "license": "Proprietary hosted service under the Google Terms of Service", "transports": [], "packages": [], "auth": "oauth", "authNotes": "No credential for an outside agent exists, because no public API was found. A person signs in to the Gemini app with a personal Google Account and needs a Google AI Pro or Ultra subscription (https://support.google.com/gemini/answer/17094507). Connected apps are off by default and are switched on in settings (https://gemini.google/us/overview/agent/spark/). Third-party and custom apps are linked to the Google Account and can be unlinked in Connected Apps settings or on the account's Linked apps page. A custom MCP server that lacks Dynamic Client Registration takes credentials the user enters (https://support.google.com/gemini/answer/17209137). Google tells users not to type sign-in or payment details into a task thread and to enter them on the web page in take control mode (https://support.google.com/gemini/answer/17094507).", "pricing": "paid", "pricingNotes": "Spark needs a Google AI Pro or Ultra subscription. US prices are $19.99 a month for Pro and $99.99 or $199.99 a month for Ultra, with Spark use counted against compute-based limits that refresh every five hours up to a weekly limit (https://gemini.google/us/subscriptions/; https://support.google.com/gemini/answer/16275805). The subscriptions page lists Spark under Ultra as first access in select countries, while the help page names Pro and Ultra. No free tier includes Spark. The page links a two-month trial offer whose terms were not read (checked 2026-10-12).", "priceSummary": "$19.99 / mo", "where": "local", "x402": { "level": "no", "evidence": "No x402, MPP or L402 on the pages read, and no public API to carry one (checked 2026-10-12).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": null, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-10-12" }, "docsUrl": "https://support.google.com/gemini/answer/17094507", "capabilities": [ "assistant.proactive", "assistant.accounts", "assistant.memory", "agent.mcp-client" ], "tags": [ "hosted", "consumer", "closed-source", "no-api", "beta", "ios", "android", "macos", "web", "browser-agent", "approvals", "mcp-client", "subscription", "trains-on-data-by-default" ], "lastRelease": "2026-05-19", "graded": true, "anchor": { "graded": true, "score": 24.5, "grade": "F", "agentReady": false, "rank": 974, "ranked": true, "rankOf": 986, "categoryRank": 18, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 9, "maintenance": 17, "payments": 10, "reliability": 14, "schema": 17, "security": 60, "transparency": 49 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-12" }, "negative": 0, "verdict": "Google's help pages state what Spark confirms before doing, how to delete its remote browser and code data, and the risks of prompt injection. Spark has no public API, Google calls it experimental, and it runs only with Keep Activity on, the setting under which chats are used for model training and human review.", "bestFor": "A person who already keeps mail, calendar and files in a personal Google Account and accepts Keep Activity being on.", "strengths": [ "Google says Spark asks for confirmation before sending communications, modifying data, making purchases, submitting web forms and using Sign in with Google", "Connected apps are off by default, and write actions through a custom MCP server need manual confirmation, per Google's help pages", "The help page names prompt injection, gives four examples of what an injected instruction could do, and says the safeguards do not guarantee protection", "Each task thread has a work panel listing completed and planned steps, files read or updated, schedules, and the skills and apps used", "Published limits of 15 running tasks and 50 active schedules, and plan prices of $19.99 to $199.99 a month in the US" ], "weaknesses": [ "No public API, SDK or MCP server for an outside agent was found. Spark is reached in the Gemini mobile app, the Mac app and gemini.google.com", "Google's help page calls Spark an experimental feature in early development, and the Privacy Hub calls it beta", "Spark runs only with Keep Activity on. With that setting on, Google uses activity to train generative AI models and human reviewers read some chats", "Chats already reviewed by human reviewers are kept for up to three years and are not deleted when the user deletes activity", "Google states that Gemini can perform bulk actions on private Google Tasks without confirmation", "The remote browser saves cookies holding website sign-in details for later sessions until the user deletes them or turns Spark off", "No status page or SLA for Spark was linked from the pages read, and the bug bounty site linked from Google's terms is drawn by script and was unread" ], "agentNotes": [ "Do not plan an integration against Spark. No public API or MCP server was found, and a person must hold a Google AI Pro or Ultra subscription", "Expect a confirmation request before sends, edits, purchases and web form submissions, and note that bulk changes to private Google Tasks run without one", "Delete remote browser data and remote code execution data in Gemini Spark Settings after a sensitive session. Deleting a task thread or Gemini Apps activity does not remove them", "Keep within 15 running tasks and 50 active schedules. A schedule does not run when 15 tasks are running or the usage limit is reached", "Treat every safety statement here as Google's own description. None was tested, and no message was sent to the service" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "F", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 24.5 } ], "editorialScores": { "ergonomics": 9, "maintenance": 17, "payments": 10, "reliability": 14, "schema": 17, "security": 60, "transparency": 44 }, "provenanceScore": 54 }, "letme": { "capability": "https://letme.dev/assistant.proactive", "tool": "https://letme.dev/gemini-spark" }, "area": "frameworks", "unitPrices": [ { "item": "Google AI Pro", "unit": "month", "usd": 19.99, "note": "US price, includes Spark with 4 times the standard usage limit" }, { "item": "Google AI Ultra (5x)", "unit": "month", "usd": 99.99, "note": "US price, 5 times the Pro usage limit" }, { "item": "Google AI Ultra (20x)", "unit": "month", "usd": 199.99, "note": "US price, 20 times the Pro usage limit" } ], "provenance": { "legalEntity": "Google LLC", "domain": "gemini.google", "domainRegistered": "", "endpointOnVendorDomain": null, "terms": "https://policies.google.com/terms", "privacy": "https://support.google.com/gemini/answer/13594961", "statusPage": "", "changelog": "https://gemini.google/us/release-notes/", "securityTxt": "none", "checked": "2026-10-12", "notes": [ "The Gemini Apps Privacy Notice says Gemini Apps are supplied by Google Ireland Limited in the European Economic Area and Switzerland and by Google LLC everywhere else. Spark is not available in the European Economic Area or Switzerland.", "Google's service-specific terms page lists Gemini Apps under the Google Terms of Service (effective 30 July 2026), the Generative AI Prohibited Use Policy and the Gemini Apps Agentic Calling Additional Terms of Service. The Generative AI Additional Terms of Service that the subscriptions page links say they stopped applying on 22 May 2024.", "The privacy link is the Gemini Apps Privacy Hub, which holds the Gemini Apps Privacy Notice (last updated 29 June 2026) and the Spark data questions (hub last updated 24 September 2026). The notice supplements the Google Privacy Policy at policies.google.com/privacy (effective 12 October 2026).", "No status page for Gemini Apps or Spark was linked from any page read.", "The release notes are the Gemini app's. Their only entry about Spark is dated 19 May 2026.", "gemini.google/.well-known/security.txt answered 404. Google's terms link bughunters.google.com as its safety and bug testing programmes. That site's home page is drawn by script and was unread.", "gemini.google is a name under Google's own .google top-level domain. Its registration date was not looked up.", "policies.google.com/robots.txt answered 404, read as no rules. The robots.txt files of gemini.google, support.google.com and bughunters.google.com allow the pages read." ], "score": 54 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/gemini-spark.json" }, "answer": "QwenPaw scores 62.2 (B) on agent readiness against Gemini Spark's 24.5 (F), and leads in 6 of 7 scored categories.", "b": { "slug": "qwenpaw", "name": "QwenPaw", "vendor": "AgentScope", "vendorUrl": "https://qwenpaw.agentscope.io", "kind": "harness", "category": "personal-assistants", "summary": "Open-source personal assistant from the AgentScope team that the owner runs on their own machine or server. It answers on chat apps, runs scheduled and proactive tasks, manages a mailbox over IMAP and SMTP, and keeps memory as Markdown files.", "url": "https://www.anchorterminal.com/tools/qwenpaw", "markdownUrl": "https://www.anchorterminal.com/tools/qwenpaw.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/qwenpaw.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/qwenpaw.json", "repo": "https://github.com/agentscope-ai/QwenPaw", "license": "Apache-2.0", "transports": [ "http", "stdio" ], "packages": [ { "registry": "pypi", "name": "qwenpaw" }, { "registry": "oci", "name": "agentscope/qwenpaw" } ], "auth": "none", "authNotes": "No account. The Console and API bind to 127.0.0.1:8088 with login off by default. `QWENPAW_AUTH_ENABLED=true` adds one admin account with a salted SHA-256 password hash and a signed token valid for seven days, and requests from localhost skip it. Each channel takes its own bot credentials, and the mailbox takes an IMAP and SMTP authorisation code or app password.", "pricing": "free", "pricingNotes": "Free under Apache-2.0 with nothing to buy. Model usage is billed by whichever provider the owner configures, and local models through llama.cpp, Ollama or LM Studio need no key. The README describes a hosted deployment on AgentScope Platform as free. That platform's pages are script-drawn and its terms and limits were not read (checked 2026-10-12).", "priceSummary": "Free · OSS", "where": "local", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the README, the docs source or the dependency list (checked 2026-10-12).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 35621, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-10-12" }, "docsUrl": "https://qwenpaw.agentscope.io/docs", "capabilities": [ "assistant.proactive", "assistant.messaging", "assistant.accounts", "assistant.memory", "assistant.self-hosted", "agent.mcp-client" ], "tags": [ "open-source", "self-hosted", "local", "free", "python", "docker", "desktop-app", "mcp", "telemetry-default-on" ], "lastRelease": "2026-09-11", "graded": true, "anchor": { "graded": true, "score": 62.2, "grade": "B", "agentReady": false, "rank": 454, "ranked": true, "rankOf": 986, "categoryRank": 7, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 67, "maintenance": 73, "payments": 60, "reliability": 70, "schema": 68, "security": 60, "transparency": 56 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-12" }, "negative": -3, "negativeNotes": [ "2026-09-11. Version 2.2.1 began enforcing each MCP server's tool allowlist on the agent runtime path (commit f2a292d of 4 September, #7504). Before it, a tool the owner had disabled on an MCP client could still be invoked by the agent. Fixed and listed in the release notes, with no security advisory, -2. https://github.com/agentscope-ai/QwenPaw/pull/7504", "2026-09-03. Version 2.2.0 blocked shell line-continuation variants that bypassed sensitive-path protections (#7472). Fixed and listed in the release notes, with no security advisory, -1. https://github.com/agentscope-ai/QwenPaw/blob/main/website/public/release-notes/v2.2.0.md" ], "verdict": "Mail tools ask for approval by default, automatic mail handling may not delete permanently, and the security docs list what each sandbox backend fails to enforce. Usage data is sent by default, the default approval level passes every tool call no rule flags, and no privacy policy or security advisory is published.", "bestFor": "One person who wants an assistant on Chinese and Western chat apps with scheduled digests, a consumer mailbox and file-based memory, on their own machine and with a model of their choice.", "strengths": [ "New mail driver cards default to the `ask` policy, and automatic mail handling may not call `delete_message` or write to unknown recipients", "Kernel sandbox on macOS, Linux and Windows, with a documented list of constraints each backend does not enforce", "Model keys, mail credentials and environment secrets are encrypted with a master key held in the OS keychain or a 0600 file", "Memory is plain Markdown in the agent workspace that the owner can read, edit and remove", "Four stable releases in the 90 days to 12 October 2026, each with dated release notes" ], "weaknesses": [ "Usage data is on by default, `qwenpaw init --defaults` accepts it without a prompt, and the opt-out variable is absent from the README and docs", "The default approval level AUTO asks only for tool calls a guard rule flags, and `/proactive` skips approval prompts entirely", "Channel direct-message and group policies default to `open`, and Console login is off by default", "No privacy policy, terms of service or security.txt on qwenpaw.agentscope.io, and no published GitHub security advisory", "Inside containers the sandbox falls back to `mode=none`, which the docs say enforces no isolation", "671 open issues and 381 open pull requests on 12 October 2026, and the Tests workflow on main had not completed a run since 30 September" ], "agentNotes": [ "Set `QWENPAW_TELEMETRY_DISABLED=true` before `qwenpaw init --defaults` or `qwenpaw app`. Both send usage data without asking", "Set `approval_level` to `STRICT` or `SMART` in `agent.json`. The default `AUTO` runs every tool call no guard rule flags", "Set `dm_policy` and `group_policy` to `allowlist` with `allow_from` on each channel. Both default to `open`", "Set `QWENPAW_AUTH_ENABLED=true` before binding beyond 127.0.0.1. Requests from localhost skip login even then", "Keep mail tools on `ask` for `send_message`, `delete_message` and `delete_thread`, and turn on Mail Access Control with automatic handling" ], "metrics": { "kind": "local", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "B", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 62.2 } ], "editorialScores": { "ergonomics": 67, "maintenance": 73, "payments": 60, "reliability": 70, "schema": 68, "security": 60, "transparency": 58 }, "provenanceScore": 53 }, "connect": { "install": "pip install qwenpaw \u0026\u0026 qwenpaw init --defaults \u0026\u0026 qwenpaw app # Python 3.11 to 3.13; or: docker pull agentscope/qwenpaw:latest", "http": "curl -X POST http://localhost:8088/api/console/chat -H \"Content-Type: application/json\" -H \"X-Agent-Id: default\" -d '{\"input\": [...]}'" }, "letme": { "capability": "https://letme.dev/assistant.proactive", "tool": "https://letme.dev/qwenpaw" }, "area": "frameworks", "provenance": { "legalEntity": "Qwenpaw PRIVATE LIMITED", "domain": "agentscope.io", "domainRegistered": "", "endpointOnVendorDomain": null, "terms": "", "privacy": "", "statusPage": "", "changelog": "https://qwenpaw.agentscope.io/release-notes", "securityTxt": "none", "checked": "2026-10-12", "notes": [ "The site footer in the repository's website source reads © 2026 Qwenpaw PRIVATE LIMITED. The LICENSE file names The QwenPaw Authors, and the README credits the AgentScope team.", "SECURITY.md sends vulnerability reports to the Alibaba Security Response Centre. We found no other first-hand statement of ownership by Alibaba.", "The site links a Usage Policy dated 26 August 2026 and no terms of service or privacy policy, so both links are left out and the Apache-2.0 licence stands in.", "qwenpaw.agentscope.io answered 404 for robots.txt, llms.txt and /.well-known/security.txt on 12 October 2026.", "No hosted endpoint is graded. A self-hosted instance answers on its owner's own host. We did not look up the domain's registration date." ], "score": 53 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/qwenpaw.json" }, "facts": [ { "a": "Platform", "b": "Agent harness", "name": "Kind" }, { "a": "Google LLC", "b": "AgentScope", "name": "Vendor" }, { "a": "no (local only)", "b": "no (local only)", "name": "Hosted endpoint" }, { "a": "", "b": "HTTP, stdio", "name": "Transports" }, { "a": "OAuth", "b": "None", "name": "Auth" }, { "a": "Paid", "b": "Free", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "Proprietary hosted service under the Google Terms of Service", "b": "Apache-2.0", "name": "Licence" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "no", "b": "no", "name": "llms.txt" }, { "a": "2026-05-19", "b": "2026-09-11", "name": "Last release" }, { "a": "2026-07-30", "b": "no document linked", "name": "Terms last updated" }, { "a": "2026-09-24", "b": "no document linked", "name": "Privacy policy last updated" }, { "a": "yes, with an opt-out", "b": "", "name": "Customer content may train models" }, { "a": "yes", "b": "", "name": "Terms restrict automated access" }, { "a": "not found in the text", "b": "", "name": "Terms restrict benchmarking" }, { "a": "not found in the text", "b": "", "name": "Terms or service can change without notice" }, { "a": "not found in the text", "b": "", "name": "Arbitration or class-action waiver" }, { "a": "none", "b": "36k stars", "name": "Popularity" } ], "faq": [ { "answer": "QwenPaw scores 62.2 (B) on agent readiness against Gemini Spark's 24.5 (F), and leads in 6 of 7 scored categories.", "question": "Which is better for AI agents, Gemini Spark or QwenPaw?" }, { "answer": "No open-source release is listed for Gemini Spark. QwenPaw is open source (Apache-2.0).", "question": "Are Gemini Spark and QwenPaw open source?" } ], "goodFor": [ { "aheadOn": null, "also": [ "No incidents deducted, where QwenPaw loses 3 points for them" ], "goodFor": "A person who already keeps mail, calendar and files in a personal Google Account and accepts Keep Activity being on.", "slug": "gemini-spark", "watchFor": "No public API, SDK or MCP server for an outside agent was found. Spark is reached in the Gemini mobile app, the Mac app and gemini.google.com" }, { "aheadOn": [ "Reliability, 70 against 14", "Schema \u0026 documentation, 68 against 17", "Agent ergonomics, 67 against 9", "Payments \u0026 pricing, 60 against 10", "Maintenance \u0026 community, 73 against 17", "Transparency \u0026 trust, 56 against 49" ], "also": [ "No key needed to call it", "Runs on your own machine", "Open source" ], "goodFor": "One person who wants an assistant on Chinese and Western chat apps with scheduled digests, a consumer mailbox and file-based memory, on their own machine and with a model of their choice.", "slug": "qwenpaw", "watchFor": "Usage data is on by default, `qwenpaw init --defaults` accepts it without a prompt, and the opt-out variable is absent from the README and docs" } ], "job": { "capability": "assistant.proactive", "name": "Assistant proactive" }, "others": [ { "json": "https://www.anchorterminal.com/compare/astrbot-vs-gemini-spark.json", "title": "AstrBot vs Gemini Spark", "url": "https://www.anchorterminal.com/compare/astrbot-vs-gemini-spark" }, { "json": "https://www.anchorterminal.com/compare/astrbot-vs-qwenpaw.json", "title": "AstrBot vs QwenPaw", "url": "https://www.anchorterminal.com/compare/astrbot-vs-qwenpaw" }, { "json": "https://www.anchorterminal.com/compare/cowagent-vs-gemini-spark.json", "title": "CowAgent vs Gemini Spark", "url": "https://www.anchorterminal.com/compare/cowagent-vs-gemini-spark" }, { "json": "https://www.anchorterminal.com/compare/cowagent-vs-qwenpaw.json", "title": "CowAgent vs QwenPaw", "url": "https://www.anchorterminal.com/compare/cowagent-vs-qwenpaw" }, { "json": "https://www.anchorterminal.com/compare/gaia-vs-gemini-spark.json", "title": "GAIA vs Gemini Spark", "url": "https://www.anchorterminal.com/compare/gaia-vs-gemini-spark" }, { "json": "https://www.anchorterminal.com/compare/gaia-vs-qwenpaw.json", "title": "GAIA vs QwenPaw", "url": "https://www.anchorterminal.com/compare/gaia-vs-qwenpaw" }, { "json": "https://www.anchorterminal.com/compare/gemini-spark-vs-grok-bot.json", "title": "Gemini Spark vs Grok Bot", "url": "https://www.anchorterminal.com/compare/gemini-spark-vs-grok-bot" }, { "json": "https://www.anchorterminal.com/compare/gemini-spark-vs-haven.json", "title": "Gemini Spark vs Haven", "url": "https://www.anchorterminal.com/compare/gemini-spark-vs-haven" }, { "json": "https://www.anchorterminal.com/compare/gemini-spark-vs-hermes-agent.json", "title": "Gemini Spark vs Hermes Agent", "url": "https://www.anchorterminal.com/compare/gemini-spark-vs-hermes-agent" }, { "json": "https://www.anchorterminal.com/compare/gemini-spark-vs-instinct.json", "title": "Gemini Spark vs Instinct", "url": "https://www.anchorterminal.com/compare/gemini-spark-vs-instinct" }, { "json": "https://www.anchorterminal.com/compare/gemini-spark-vs-ironclaw.json", "title": "Gemini Spark vs IronClaw", "url": "https://www.anchorterminal.com/compare/gemini-spark-vs-ironclaw" }, { "json": "https://www.anchorterminal.com/compare/gemini-spark-vs-leon.json", "title": "Gemini Spark vs Leon", "url": "https://www.anchorterminal.com/compare/gemini-spark-vs-leon" }, { "json": "https://www.anchorterminal.com/compare/gemini-spark-vs-lindy.json", "title": "Gemini Spark vs Lindy", "url": "https://www.anchorterminal.com/compare/gemini-spark-vs-lindy" }, { "json": "https://www.anchorterminal.com/compare/gemini-spark-vs-nanobot.json", "title": "Gemini Spark vs nanobot", "url": "https://www.anchorterminal.com/compare/gemini-spark-vs-nanobot" }, { "json": "https://www.anchorterminal.com/compare/gemini-spark-vs-nanoclaw.json", "title": "Gemini Spark vs NanoClaw", "url": "https://www.anchorterminal.com/compare/gemini-spark-vs-nanoclaw" }, { "json": "https://www.anchorterminal.com/compare/gemini-spark-vs-openai-dots.json", "title": "Gemini Spark vs Dots", "url": "https://www.anchorterminal.com/compare/gemini-spark-vs-openai-dots" }, { "json": "https://www.anchorterminal.com/compare/gemini-spark-vs-openclaw.json", "title": "Gemini Spark vs OpenClaw", "url": "https://www.anchorterminal.com/compare/gemini-spark-vs-openclaw" }, { "json": "https://www.anchorterminal.com/compare/gemini-spark-vs-picoclaw.json", "title": "Gemini Spark vs PicoClaw", "url": "https://www.anchorterminal.com/compare/gemini-spark-vs-picoclaw" }, { "json": "https://www.anchorterminal.com/compare/gemini-spark-vs-poke.json", "title": "Gemini Spark vs Poke", "url": "https://www.anchorterminal.com/compare/gemini-spark-vs-poke" }, { "json": "https://www.anchorterminal.com/compare/gemini-spark-vs-zeroclaw.json", "title": "Gemini Spark vs ZeroClaw", "url": "https://www.anchorterminal.com/compare/gemini-spark-vs-zeroclaw" }, { "json": "https://www.anchorterminal.com/compare/gemini-spark-vs-zo-computer.json", "title": "Gemini Spark vs Zo Computer", "url": "https://www.anchorterminal.com/compare/gemini-spark-vs-zo-computer" }, { "json": "https://www.anchorterminal.com/compare/grok-bot-vs-qwenpaw.json", "title": "Grok Bot vs QwenPaw", "url": "https://www.anchorterminal.com/compare/grok-bot-vs-qwenpaw" }, { "json": "https://www.anchorterminal.com/compare/haven-vs-qwenpaw.json", "title": "Haven vs QwenPaw", "url": "https://www.anchorterminal.com/compare/haven-vs-qwenpaw" }, { "json": "https://www.anchorterminal.com/compare/hermes-agent-vs-qwenpaw.json", "title": "Hermes Agent vs QwenPaw", "url": "https://www.anchorterminal.com/compare/hermes-agent-vs-qwenpaw" }, { "json": "https://www.anchorterminal.com/compare/instinct-vs-qwenpaw.json", "title": "Instinct vs QwenPaw", "url": "https://www.anchorterminal.com/compare/instinct-vs-qwenpaw" }, { "json": "https://www.anchorterminal.com/compare/ironclaw-vs-qwenpaw.json", "title": "IronClaw vs QwenPaw", "url": "https://www.anchorterminal.com/compare/ironclaw-vs-qwenpaw" }, { "json": "https://www.anchorterminal.com/compare/leon-vs-qwenpaw.json", "title": "Leon vs QwenPaw", "url": "https://www.anchorterminal.com/compare/leon-vs-qwenpaw" }, { "json": "https://www.anchorterminal.com/compare/lindy-vs-qwenpaw.json", "title": "Lindy vs QwenPaw", "url": "https://www.anchorterminal.com/compare/lindy-vs-qwenpaw" }, { "json": "https://www.anchorterminal.com/compare/nanobot-vs-qwenpaw.json", "title": "nanobot vs QwenPaw", "url": "https://www.anchorterminal.com/compare/nanobot-vs-qwenpaw" }, { "json": "https://www.anchorterminal.com/compare/nanoclaw-vs-qwenpaw.json", "title": "NanoClaw vs QwenPaw", "url": "https://www.anchorterminal.com/compare/nanoclaw-vs-qwenpaw" }, { "json": "https://www.anchorterminal.com/compare/openai-dots-vs-qwenpaw.json", "title": "Dots vs QwenPaw", "url": "https://www.anchorterminal.com/compare/openai-dots-vs-qwenpaw" }, { "json": "https://www.anchorterminal.com/compare/openclaw-vs-qwenpaw.json", "title": "OpenClaw vs QwenPaw", "url": "https://www.anchorterminal.com/compare/openclaw-vs-qwenpaw" }, { "json": "https://www.anchorterminal.com/compare/picoclaw-vs-qwenpaw.json", "title": "PicoClaw vs QwenPaw", "url": "https://www.anchorterminal.com/compare/picoclaw-vs-qwenpaw" }, { "json": "https://www.anchorterminal.com/compare/poke-vs-qwenpaw.json", "title": "Poke vs QwenPaw", "url": "https://www.anchorterminal.com/compare/poke-vs-qwenpaw" }, { "json": "https://www.anchorterminal.com/compare/qwenpaw-vs-zeroclaw.json", "title": "QwenPaw vs ZeroClaw", "url": "https://www.anchorterminal.com/compare/qwenpaw-vs-zeroclaw" }, { "json": "https://www.anchorterminal.com/compare/qwenpaw-vs-zo-computer.json", "title": "QwenPaw vs Zo Computer", "url": "https://www.anchorterminal.com/compare/qwenpaw-vs-zo-computer" } ], "scores": [ { "by": 56, "edge": "qwenpaw", "gemini-spark": 14, "key": "reliability", "name": "Reliability", "qwenpaw": 70, "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 51, "edge": "qwenpaw", "gemini-spark": 17, "key": "schema", "name": "Schema \u0026 documentation", "qwenpaw": 68, "weight": 13 }, { "by": 58, "edge": "qwenpaw", "gemini-spark": 9, "key": "ergonomics", "name": "Agent ergonomics", "qwenpaw": 67, "weight": 13 }, { "by": 0, "edge": "", "gemini-spark": 60, "key": "security", "name": "Security \u0026 auth", "qwenpaw": 60, "weight": 14 }, { "by": 50, "edge": "qwenpaw", "gemini-spark": 10, "key": "payments", "name": "Payments \u0026 pricing", "qwenpaw": 60, "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 56, "edge": "qwenpaw", "gemini-spark": 17, "key": "maintenance", "name": "Maintenance \u0026 community", "qwenpaw": 73, "weight": 7 }, { "by": 7, "edge": "qwenpaw", "gemini-spark": 49, "key": "transparency", "name": "Transparency \u0026 trust", "qwenpaw": 56, "weight": 7 } ], "summary": "QwenPaw scores 62.2 (B) on agent readiness against Gemini Spark's 24.5 (F), and leads in 6 of 7 scored categories. Both do assistant proactive.", "verdicts": { "gemini-spark": "Google's help pages state what Spark confirms before doing, how to delete its remote browser and code data, and the risks of prompt injection. Spark has no public API, Google calls it experimental, and it runs only with Keep Activity on, the setting under which chats are used for model training and human review.", "qwenpaw": "Mail tools ask for approval by default, automatic mail handling may not delete permanently, and the security docs list what each sandbox backend fails to enforce. Usage data is sent by default, the default approval level passes every tool call no rule flags, and no privacy policy or security advisory is published." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/gemini-spark-vs-qwenpaw", "json": "https://www.anchorterminal.com/compare/gemini-spark-vs-qwenpaw.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/gemini-spark-vs-qwenpaw.md", "slim": "https://www.anchorterminal.com/compare/gemini-spark-vs-qwenpaw.min.md" }, "markdown": "QwenPaw scores 62.2 (B) on agent readiness against Gemini Spark's 24.5 (F), and leads in 6 of 7 scored categories. Both do assistant proactive.\n\n- Gemini Spark: grade F, 24.5/100, rank #974 of 986. Markdown https://www.anchorterminal.com/tools/gemini-spark.md · JSON https://www.anchorterminal.com/api/v1/tools/gemini-spark.json\n- QwenPaw: grade B, 62.2/100, rank #454 of 986. Markdown https://www.anchorterminal.com/tools/qwenpaw.md · JSON https://www.anchorterminal.com/api/v1/tools/qwenpaw.json\n- Best AI personal assistants that act for one person: https://www.anchorterminal.com/best/personal-assistants/index.md\n- All 190 assistants comparisons: https://www.anchorterminal.com/compare/personal-assistants/index.md\n\n## Which one, for what\n\n### Gemini Spark (F)\n\nGood for: A person who already keeps mail, calendar and files in a personal Google Account and accepts Keep Activity being on.\n\nAlso in its favour:\n- No incidents deducted, where QwenPaw loses 3 points for them\n\nWatch for: No public API, SDK or MCP server for an outside agent was found. Spark is reached in the Gemini mobile app, the Mac app and gemini.google.com\n\n### QwenPaw (B)\n\nGood for: One person who wants an assistant on Chinese and Western chat apps with scheduled digests, a consumer mailbox and file-based memory, on their own machine and with a model of their choice.\n\nAhead on:\n- Reliability, 70 against 14\n- Schema \u0026 documentation, 68 against 17\n- Agent ergonomics, 67 against 9\n- Payments \u0026 pricing, 60 against 10\n- Maintenance \u0026 community, 73 against 17\n- Transparency \u0026 trust, 56 against 49\n\nAlso in its favour:\n- No key needed to call it\n- Runs on your own machine\n- Open source\n\nWatch for: Usage data is on by default, `qwenpaw init --defaults` accepts it without a prompt, and the opt-out variable is absent from the README and docs\n\n\n## Score by category\n\n| Category | Weight | Gemini Spark | QwenPaw | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 14 | 70 | QwenPaw +56 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 17 | 68 | QwenPaw +51 |\n| Agent ergonomics | 13% (16.2 this run) | 9 | 67 | QwenPaw +58 |\n| Security \u0026 auth | 14% (17.5 this run) | 60 | 60 | even |\n| Payments \u0026 pricing | 10% (12.5 this run) | 10 | 60 | QwenPaw +50 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 17 | 73 | QwenPaw +56 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 49 | 56 | QwenPaw +7 |\n| Negative events | ≤15 | 0 | -3 | |\n| **Total** | | **24.5 · F** | **62.2 · B** | |\n\n## Facts side by side\n\n| Fact | Gemini Spark | QwenPaw |\n| --- | --- | --- |\n| Kind | Platform | Agent harness |\n| Vendor | Google LLC | AgentScope |\n| Hosted endpoint | no (local only) | no (local only) |\n| Transports | | HTTP, stdio |\n| Auth | OAuth | None |\n| Pricing | Paid | Free |\n| x402 | no | no |\n| Licence | Proprietary hosted service under the Google Terms of Service | Apache-2.0 |\n| Read-only variant documented | no | no |\n| llms.txt | no | no |\n| Last release | 2026-05-19 | 2026-09-11 |\n| Terms last updated | 2026-07-30 | no document linked |\n| Privacy policy last updated | 2026-09-24 | no document linked |\n| Customer content may train models | yes, with an opt-out | |\n| Terms restrict automated access | yes | |\n| Terms restrict benchmarking | not found in the text | |\n| Terms or service can change without notice | not found in the text | |\n| Arbitration or class-action waiver | not found in the text | |\n| Popularity | none | 36k stars |\n\n## Verdicts\n\n**Gemini Spark.** Google's help pages state what Spark confirms before doing, how to delete its remote browser and code data, and the risks of prompt injection. Spark has no public API, Google calls it experimental, and it runs only with Keep Activity on, the setting under which chats are used for model training and human review.\n\n**QwenPaw.** Mail tools ask for approval by default, automatic mail handling may not delete permanently, and the security docs list what each sandbox backend fails to enforce. Usage data is sent by default, the default approval level passes every tool call no rule flags, and no privacy policy or security advisory is published.\n\n## Before you call either\n\n### Gemini Spark\n\n1. Do not plan an integration against Spark. No public API or MCP server was found, and a person must hold a Google AI Pro or Ultra subscription\n2. Expect a confirmation request before sends, edits, purchases and web form submissions, and note that bulk changes to private Google Tasks run without one\n3. Delete remote browser data and remote code execution data in Gemini Spark Settings after a sensitive session. Deleting a task thread or Gemini Apps activity does not remove them\n4. Keep within 15 running tasks and 50 active schedules. A schedule does not run when 15 tasks are running or the usage limit is reached\n5. Treat every safety statement here as Google's own description. None was tested, and no message was sent to the service\n\n### QwenPaw\n\n1. Set `QWENPAW_TELEMETRY_DISABLED=true` before `qwenpaw init --defaults` or `qwenpaw app`. Both send usage data without asking\n2. Set `approval_level` to `STRICT` or `SMART` in `agent.json`. The default `AUTO` runs every tool call no guard rule flags\n3. Set `dm_policy` and `group_policy` to `allowlist` with `allow_from` on each channel. Both default to `open`\n4. Set `QWENPAW_AUTH_ENABLED=true` before binding beyond 127.0.0.1. Requests from localhost skip login even then\n5. Keep mail tools on `ask` for `send_message`, `delete_message` and `delete_thread`, and turn on Mail Access Control with automatic handling\n\n## Questions\n\n### Which is better for AI agents, Gemini Spark or QwenPaw?\n\nQwenPaw scores 62.2 (B) on agent readiness against Gemini Spark's 24.5 (F), and leads in 6 of 7 scored categories.\n\n### Are Gemini Spark and QwenPaw open source?\n\nNo open-source release is listed for Gemini Spark. QwenPaw is open source (Apache-2.0).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/gemini-spark-vs-qwenpaw.json, and with the fewest tokens: https://www.anchorterminal.com/compare/gemini-spark-vs-qwenpaw.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"gemini-spark\", \"b\": \"qwenpaw\"}`. From a terminal: `anchor compare gemini-spark qwenpaw`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/gemini-spark.json and https://www.anchorterminal.com/api/v1/tools/qwenpaw.json\n\n## Other comparisons with Gemini Spark or QwenPaw\n\n- [AstrBot vs Gemini Spark](https://www.anchorterminal.com/compare/astrbot-vs-gemini-spark.md)\n- [AstrBot vs QwenPaw](https://www.anchorterminal.com/compare/astrbot-vs-qwenpaw.md)\n- [CowAgent vs Gemini Spark](https://www.anchorterminal.com/compare/cowagent-vs-gemini-spark.md)\n- [CowAgent vs QwenPaw](https://www.anchorterminal.com/compare/cowagent-vs-qwenpaw.md)\n- [GAIA vs Gemini Spark](https://www.anchorterminal.com/compare/gaia-vs-gemini-spark.md)\n- [GAIA vs QwenPaw](https://www.anchorterminal.com/compare/gaia-vs-qwenpaw.md)\n- [Gemini Spark vs Grok Bot](https://www.anchorterminal.com/compare/gemini-spark-vs-grok-bot.md)\n- [Gemini Spark vs Haven](https://www.anchorterminal.com/compare/gemini-spark-vs-haven.md)\n- [Gemini Spark vs Hermes Agent](https://www.anchorterminal.com/compare/gemini-spark-vs-hermes-agent.md)\n- [Gemini Spark vs Instinct](https://www.anchorterminal.com/compare/gemini-spark-vs-instinct.md)\n- [Gemini Spark vs IronClaw](https://www.anchorterminal.com/compare/gemini-spark-vs-ironclaw.md)\n- [Gemini Spark vs Leon](https://www.anchorterminal.com/compare/gemini-spark-vs-leon.md)\n- [Gemini Spark vs Lindy](https://www.anchorterminal.com/compare/gemini-spark-vs-lindy.md)\n- [Gemini Spark vs nanobot](https://www.anchorterminal.com/compare/gemini-spark-vs-nanobot.md)\n- [Gemini Spark vs NanoClaw](https://www.anchorterminal.com/compare/gemini-spark-vs-nanoclaw.md)\n- [Gemini Spark vs Dots](https://www.anchorterminal.com/compare/gemini-spark-vs-openai-dots.md)\n- [Gemini Spark vs OpenClaw](https://www.anchorterminal.com/compare/gemini-spark-vs-openclaw.md)\n- [Gemini Spark vs PicoClaw](https://www.anchorterminal.com/compare/gemini-spark-vs-picoclaw.md)\n- [Gemini Spark vs Poke](https://www.anchorterminal.com/compare/gemini-spark-vs-poke.md)\n- [Gemini Spark vs ZeroClaw](https://www.anchorterminal.com/compare/gemini-spark-vs-zeroclaw.md)\n- [Gemini Spark vs Zo Computer](https://www.anchorterminal.com/compare/gemini-spark-vs-zo-computer.md)\n- [Grok Bot vs QwenPaw](https://www.anchorterminal.com/compare/grok-bot-vs-qwenpaw.md)\n- [Haven vs QwenPaw](https://www.anchorterminal.com/compare/haven-vs-qwenpaw.md)\n- [Hermes Agent vs QwenPaw](https://www.anchorterminal.com/compare/hermes-agent-vs-qwenpaw.md)\n- [Instinct vs QwenPaw](https://www.anchorterminal.com/compare/instinct-vs-qwenpaw.md)\n- [IronClaw vs QwenPaw](https://www.anchorterminal.com/compare/ironclaw-vs-qwenpaw.md)\n- [Leon vs QwenPaw](https://www.anchorterminal.com/compare/leon-vs-qwenpaw.md)\n- [Lindy vs QwenPaw](https://www.anchorterminal.com/compare/lindy-vs-qwenpaw.md)\n- [nanobot vs QwenPaw](https://www.anchorterminal.com/compare/nanobot-vs-qwenpaw.md)\n- [NanoClaw vs QwenPaw](https://www.anchorterminal.com/compare/nanoclaw-vs-qwenpaw.md)\n- [Dots vs QwenPaw](https://www.anchorterminal.com/compare/openai-dots-vs-qwenpaw.md)\n- [OpenClaw vs QwenPaw](https://www.anchorterminal.com/compare/openclaw-vs-qwenpaw.md)\n- [PicoClaw vs QwenPaw](https://www.anchorterminal.com/compare/picoclaw-vs-qwenpaw.md)\n- [Poke vs QwenPaw](https://www.anchorterminal.com/compare/poke-vs-qwenpaw.md)\n- [QwenPaw vs ZeroClaw](https://www.anchorterminal.com/compare/qwenpaw-vs-zeroclaw.md)\n- [QwenPaw vs Zo Computer](https://www.anchorterminal.com/compare/qwenpaw-vs-zo-computer.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-10-12", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.4", "openapi": "https://www.anchorterminal.com/openapi.json", "preview": false, "run": "2026-10-01", "runLabel": "October 2026 research run" }, "page": { "breadcrumbs": [ { "name": "Home", "url": "https://www.anchorterminal.com/" }, { "name": "Compare", "url": "https://www.anchorterminal.com/compare/" }, { "name": "Gemini Spark vs QwenPaw", "url": "" } ], "description": "QwenPaw scores 62.2 (B) to Gemini Spark's 24.5 (F) for assistant proactive. Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "Gemini Spark F 24.5", "QwenPaw B 62.2", "scores" ], "h1": "Gemini Spark vs QwenPaw", "image": "https://www.anchorterminal.com/assets/og/compare-gemini-spark-vs-qwenpaw.png", "path": "/compare/gemini-spark-vs-qwenpaw", "published": "2026-10-01", "section": "tools", "title": "Gemini Spark vs QwenPaw for AI agents in 2026: scores and prices", "toc": null, "updated": "2026-10-12", "url": "https://www.anchorterminal.com/compare/gemini-spark-vs-qwenpaw" }, "tokens": { "markdown": 2650, "slim": 680 }, "version": 1 }