# Gemini Spark vs QwenPaw

> 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.

- Canonical: https://www.anchorterminal.com/compare/gemini-spark-vs-qwenpaw
- Markdown: https://www.anchorterminal.com/compare/gemini-spark-vs-qwenpaw.md (~2,650 tokens)
- Slim: https://www.anchorterminal.com/compare/gemini-spark-vs-qwenpaw.min.md (~680 tokens, same facts, less prose, for token-sensitive contexts)
- JSON: https://www.anchorterminal.com/compare/gemini-spark-vs-qwenpaw.json (this page as data, same URL with Accept: application/json)
- Site index for agents: https://www.anchorterminal.com/llms.txt (full text: https://www.anchorterminal.com/llms-full.txt)
- API: https://www.anchorterminal.com/api/v1/index.json
- Updated: 2026-10-12

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.

- 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
- 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
- Best AI personal assistants that act for one person: https://www.anchorterminal.com/best/personal-assistants/index.md
- All 190 assistants comparisons: https://www.anchorterminal.com/compare/personal-assistants/index.md

## Which one, for what

### Gemini Spark (F)

Good for: A person who already keeps mail, calendar and files in a personal Google Account and accepts Keep Activity being on.

Also in its favour:
- No incidents deducted, where QwenPaw loses 3 points for them

Watch 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

### QwenPaw (B)

Good 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.

Ahead on:
- Reliability, 70 against 14
- Schema & documentation, 68 against 17
- Agent ergonomics, 67 against 9
- Payments & pricing, 60 against 10
- Maintenance & community, 73 against 17
- Transparency & trust, 56 against 49

Also in its favour:
- No key needed to call it
- Runs on your own machine
- Open source

Watch 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


## Score by category

| Category | Weight | Gemini Spark | QwenPaw | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 14 | 70 | QwenPaw +56 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 17 | 68 | QwenPaw +51 |
| Agent ergonomics | 13% (16.2 this run) | 9 | 67 | QwenPaw +58 |
| Security & auth | 14% (17.5 this run) | 60 | 60 | even |
| Payments & pricing | 10% (12.5 this run) | 10 | 60 | QwenPaw +50 |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 17 | 73 | QwenPaw +56 |
| Transparency & trust | 7% (8.8 this run) | 49 | 56 | QwenPaw +7 |
| Negative events | ≤15 | 0 | -3 | |
| **Total** | | **24.5 · F** | **62.2 · B** | |

## Facts side by side

| Fact | Gemini Spark | QwenPaw |
| --- | --- | --- |
| Kind | Platform | Agent harness |
| Vendor | Google LLC | AgentScope |
| Hosted endpoint | no (local only) | no (local only) |
| Transports |  | HTTP, stdio |
| Auth | OAuth | None |
| Pricing | Paid | Free |
| x402 | no | no |
| Licence | Proprietary hosted service under the Google Terms of Service | Apache-2.0 |
| Read-only variant documented | no | no |
| llms.txt | no | no |
| Last release | 2026-05-19 | 2026-09-11 |
| Terms last updated | 2026-07-30 | no document linked |
| Privacy policy last updated | 2026-09-24 | no document linked |
| Customer content may train models | yes, with an opt-out |  |
| Terms restrict automated access | yes |  |
| Terms restrict benchmarking | not found in the text |  |
| Terms or service can change without notice | not found in the text |  |
| Arbitration or class-action waiver | not found in the text |  |
| Popularity | none | 36k stars |

## 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.

## Before you call either

### Gemini Spark

1. 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
2. Expect a confirmation request before sends, edits, purchases and web form submissions, and note that bulk changes to private Google Tasks run without one
3. 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
4. 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
5. Treat every safety statement here as Google's own description. None was tested, and no message was sent to the service

### QwenPaw

1. Set `QWENPAW_TELEMETRY_DISABLED=true` before `qwenpaw init --defaults` or `qwenpaw app`. Both send usage data without asking
2. Set `approval_level` to `STRICT` or `SMART` in `agent.json`. The default `AUTO` runs every tool call no guard rule flags
3. Set `dm_policy` and `group_policy` to `allowlist` with `allow_from` on each channel. Both default to `open`
4. Set `QWENPAW_AUTH_ENABLED=true` before binding beyond 127.0.0.1. Requests from localhost skip login even then
5. Keep mail tools on `ask` for `send_message`, `delete_message` and `delete_thread`, and turn on Mail Access Control with automatic handling

## Questions

### Which is better for AI agents, Gemini Spark or QwenPaw?

QwenPaw scores 62.2 (B) on agent readiness against Gemini Spark's 24.5 (F), and leads in 6 of 7 scored categories.

### Are Gemini Spark and QwenPaw open source?

No open-source release is listed for Gemini Spark. QwenPaw is open source (Apache-2.0).


## For agents

- 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
- 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`
- Each listing in full: https://www.anchorterminal.com/api/v1/tools/gemini-spark.json and https://www.anchorterminal.com/api/v1/tools/qwenpaw.json

## Other comparisons with Gemini Spark or QwenPaw

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