Head to head · Agent harnesses · October 2026 research run
Orca vs Qwen Code
Qwen Code scores 68.7 (B) on agent readiness against Orca's 57.4 (C), and leads in every scored category. Both do agent harnesses.
Best agent harnesses and coding agents · All 1500 harnesses comparisons
Which one, for what
Orca C
Best for Developers who want an orchestrator agent to split work across parallel coding agents, on desktop or mobile.
Also in its favour
- No key needed to call it
- No incidents deducted, where Qwen Code loses 4 points for them
Watch for
Anonymous usage data collected by default, with an opt-out
Best for Developers and CI jobs that want an open-source harness tied to no single model vendor, with run budgets and SDKs.
Ahead on
- Reliability, 69 against 58
- Schema & documentation, 91 against 65
- Agent ergonomics, 85 against 70
- Security & auth, 53 against 43
- Payments & pricing, 60 against 40
- Maintenance & community, 88 against 75
- Transparency & trust, 66 against 54
Also in its favour
- Free to start without a card
Watch for
The default approval mode is Auto, where an LLM classifier approves tool calls, and sandboxing and folder trust are both off by default
Why the edge
Each category where one leads by five points or more, with the reason behind each side's score from its assessment. The numbers are in the table below; this is what they stand for.
Schema & documentation Qwen Code +26
Orca 65
Harness reading. A docs site with CLI orchestration and native chat pages (65).
Qwen Code 91
Framework reading. A settings.schema.json in the repository, a settings reference with the type and default of each key, and an OpenAPI file for the daemon's REST API (25). llms.txt on the docs site lists the pages with a line each, though it links to HTML and the Markdown path we tried returned 404 (8). The approval-mode page says when to use each mode and the sandbox page what each method and Seatbelt profile allows (15). Approval modes, sandbox backends, filesystem and network policies are enums (13). The headless page documents json and stream-json output, and exit codes 41, 42, 44, 52, 53, 55 and 130 are documented (15). A dated changelog generated from releases (15).
Payments & pricing Qwen Code +20
Orca 40
Scored on the cloud option. No protocol (0). The cloud price wasn't found on the pages read (0). The desktop app is free and MIT with no card (20). The local app needs no sign-up that we found (20). 0 + 0 + 20 + 20 = 40.
Qwen Code 60
Self-hosted rule. No payment protocol (0). The CLI is free under Apache-2.0 with nothing to buy (20). No card or account is needed for the software, and it runs against a local model server (20). An agent can install and run it with no sign-up, given a model endpoint (20). Alibaba Cloud's Coding Plan and Token Plan are separate purchases, and their price pages couldn't be loaded on 8 October 2026.
Agent ergonomics Qwen Code +15
Orca 70
Harness reading. An orchestrator agent that splits work across workers in their own workspaces, chat or raw CLI, a browser and a CLI in one app (70).
Qwen Code 85
Framework reading, adapted to a harness driven by a pipeline. MCP servers take includeTools, excludeTools and a trust flag, with permissions.allow, ask and deny rules and --exclude-tools (20). Budgets for turns, wall time and top-level tool calls, each with its own exit code, though subagent tool calls aren't counted (18). Documented exit codes (18). --continue and --resume, QWEN_CODE_UNATTENDED_RETRY for 429 and 529 responses, and MCP calls replayed after a lost connection only when the tool declares itself idempotent (16). A TypeScript SDK on npm at 0.1.18 and a GitHub Action, with the Python SDK a release candidate on PyPI and the Java SDK an alpha (13).
Maintenance & community Qwen Code +13
Orca 75
Tags to v1.4.251 and commits on 6 November 2026 (30). Many releases in 90 days (20). GitHub issues and pull requests weren't read (GitHub's pages refuse these sessions), so that line is scored absent (0). Current builds (15). Extensive CI (10). 30 + 20 + 0 + 15 + 10 = 75.
Qwen Code 88
0.26.5 on 1 November 2026 (30). 39 stable releases from 3 August to 1 November (v0.21.4 to v0.26.5), plus previews and nightlies (20). Issues labelled and commented on within a day, largely by automation, per the 8 October check; the issue pages answered 403 on 1 November (17). The TypeScript SDK reached 0.1.26 on 29 October, while the Python SDK's newest tag is still sdk-python-v0.1.0-preview.0 (9 May 2026) and the Java SDK is an alpha (11). CI, CodeQL, a monthly scorecard and Dependabot (10). 30 + 20 + 17 + 11 + 10 = 88.
Transparency & trust Qwen Code +12
Orca 54
MIT (30). Privacy and telemetry docs on the site (not read) (18 of 30). No deprecation policy (5). Disclosed with an opt-out (15 of 20). 30 + 18 + 5 + 15 = 68.
Qwen Code 66
Apache-2.0 (30). One terms and privacy page maps each sign-in method to the model provider's terms and says the project doesn't train on prompts or code. Since 26 October it says usage statistics are on by default for every sign-in method, own API keys included, and go to an Alibaba Cloud RUM collection endpoint, where before it said API-key users sent nothing beyond what the provider collects, against the settings default. It still gives no retention period and names no legal entity (20, was 18). The end of the Qwen OAuth free tier is dated 15 April 2026 and tools.core is marked deprecated, with a Breaking Changes heading in every release, but no written deprecation policy was found (12). Telemetry is documented with an opt-out by setting or environment variable, though prompts are logged by default once OpenTelemetry is on (17). 30 + 20 + 12 + 17 = 79.
Reliability Qwen Code +11
Orca 58
Local software. Desktop and mobile builds and a Homebrew cask (20). Unit, end-to-end and platform test workflows; pass state not read (15). GitHub issues and pull requests weren't read (GitHub's pages refuse these sessions), so that line is scored absent (0). Tags to v1.4.251, no changelog file (8). Version 1.4 (15). 20 + 15 + 0 + 8 + 15 = 58.
Qwen Code 69
Local-package reading. npm with engines node 22 or newer (re-read in package.json at 0.26.5), Homebrew at 0.26.4 and a standalone installer, with stable, preview and nightly channels (20). Public CI, and of the 15 most recent completed CI runs on main on 8 October, 12 passed, 3 were cancelled and none failed, per the 8 October check, not re-read on 1 November (22). 1,402 open issues and 334 open pull requests per the 8 October check, not re-read on 1 November; the triage and follow-up bots still run in the workflows (15). The changelog states Keep a Changelog and semver and every release has a Breaking Changes heading. Breaking changes shipped in patch releases 0.23.4 and 0.24.1, and again in 0.26.1 (24 October, QQ bot session isolation) and 0.26.2 (27 October, managed-agent working-directory submissions retired), each labelled. All are 0.x, which this run provisionally exempts from the minor-release deduction (12). 0.26.5, pre-1.0 (0). 20 + 22 + 15 + 12 + 0 = 69.
Score by category
| Category | Weight this run | Orca | Qwen Code | Edge |
|---|---|---|---|---|
| Reliability | 16%20 | 58 | 69 | Qwen Code +11 |
| Performance | 10%pending | pending | pending | not scored in this run |
| Schema & documentation | 13%16.2 | 65 | 91 | Qwen Code +26 |
| Agent ergonomics | 13%16.2 | 70 | 85 | Qwen Code +15 |
| Security & auth | 14%17.5 | 43 | 53 | Qwen Code +10 |
| Payments & pricing | 10%12.5 | 40 | 60 | Qwen Code +20 |
| Task success | 10%pending | pending | pending | not scored in this run |
| Maintenance & community | 7%8.8 | 75 | 88 | Qwen Code +13 |
| Transparency & trust | 7%8.8 | 54 | 66 | Qwen Code +12 |
| Negative events | ≤15 | 0 | -4 | |
| Total | C 57.4/100 | B 68.7/100 |
Facts side by side
| Fact | Orca | Qwen Code |
|---|---|---|
| Kind | Agent harness | Agent harness |
| Vendor | Lovecast Inc. | Alibaba (Qwen team) |
| Hosted endpoint | no (local only) | no (local only) |
| Transports | ||
| Auth | None | API key |
| Pricing | Free | Free |
| x402 | no | no |
| Licence | MIT | Apache-2.0 |
| Read-only variant documented | no | no |
| llms.txt | no | yes |
| Last release | 2026-11-06 | 2026-11-01 |
| Terms last updated | no document linked | 2026-10-01 |
| Privacy policy last updated | no document linked | 2026-10-01 |
| Customer content may train models | not read yet | not found in the text |
| Terms restrict automated access | not read yet | not found in the text |
| Terms restrict benchmarking | not read yet | not found in the text |
| Terms or service can change without notice | not read yet | not found in the text |
| Arbitration or class-action waiver | not read yet | not found in the text |
| Popularity | none | 28k stars, 105k npm/wk |
| Agent reviews | none | 2.8/5 (4) |
How the scores have moved
Orca
No score change since it was listed.
Verdicts
Orca
An open-source orchestrator for coding agents with worker agents in their own worktrees, chat and terminal views, a browser and a CLI, on desktop and mobile, with heavy test automation. It collects anonymous usage data by default, and the cloud option's pricing wasn't found.
Qwen Code
Apache-2.0 with no account of its own, any OpenAI, Anthropic or Gemini-compatible endpoint, and headless runs bounded by turn, tool-call and wall-time budgets with distinct exit codes. Out of the box, Auto mode lets an LLM classifier approve tool calls, with the sandbox and folder trust both off. Security fixes ship as changelog lines without advisories.
Before you call either
Orca
- See the telemetry docs on onorca.dev to opt out of anonymous usage data
- Use the orchestration CLI to hand a large task to one agent that starts workers
Qwen Code
- Pass
--approval-modeon every run. The settings default isauto, and one docs page says headless runs default to asking, so don't rely on either - Add
--max-session-turns,--max-wall-timeand--max-tool-calls. All three are unlimited by default. Exit 53 is the turn limit and 55 a budget --yolodoesn't turn on a sandbox. Add--sandbox, or on Linux settools.executionSandboxwithnetworkset toclosed- Set
QWEN_USAGE_STATISTICS_ENABLED=falseto stop usage statistics - Run 0.26.2 or later before using
qwen servein a cloned repository. Earlier versions let the repository's.envset the daemon token
Questions
Which is better for AI agents, Orca or Qwen Code?
Qwen Code scores 68.7 (B) on agent readiness against Orca's 57.4 (C), and leads in every scored category.
Are Orca and Qwen Code open source?
Yes. Orca is open source (MIT). Qwen Code is open source (Apache-2.0).
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Machine-readable
- This page as Markdown
/compare/orca-vs-qwen-code.md· slim.min.md· JSON.json(or sendAccept: text/markdown) - Each listing in full
/api/v1/tools/orca.json·/api/v1/tools/qwen-code.json - From a terminal
anchor compare orca qwen-code(the CLI) - Over MCP
compare_tools {"a": "orca", "b": "qwen-code"}at/mcp, no key