{ "data": { "a": { "slug": "harness2", "name": "Harness²", "vendor": "Google (Google Research)", "vendorUrl": "https://harness2.github.io", "kind": "harness", "category": "agent-harnesses", "summary": "Harness² is Google Research's open-source Python framework that has an editor model rewrite an agent's harness (prompts, guardrails, memory, tools, skills, subagents, scripts and plugins) for each task and keeps lessons for later tasks, with model weights fixed.", "url": "https://www.anchorterminal.com/tools/harness2", "markdownUrl": "https://www.anchorterminal.com/tools/harness2.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/harness2.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/harness2.json", "repo": "https://github.com/google-research/harness2", "license": "Apache-2.0. Bundled benchmark runners keep their upstream licences (Apache-2.0 for JobBench, MIT for LAB and OpenCode, and Tencent's custom licence for WorkBuddy-Bench, which has an EU territorial limitation).", "transports": [], "packages": [], "auth": "none", "authNotes": "No Harness² account or key. Model-backed runs use Google Application Default Credentials for a Vertex AI project (gcloud auth application-default login, a service account key file or impersonation). The optional Codex bridge generates its own local access key.", "pricing": "free", "pricingNotes": "Free under Apache-2.0, with nothing to buy. Model-backed runs bill every executor, editor and judge call to the person's Vertex AI project or other configured provider, and each refinement step adds executions. The local demo needs no credentials.", "priceSummary": "Free · OSS", "where": "local", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the README, docs or source (checked 2026-10-18). The software has nothing to buy.", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 4200, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-10-18" }, "docsUrl": "https://github.com/google-research/harness2/tree/main/docs", "capabilities": [ "agent.harness" ], "tags": [ "open-source", "apache-2.0", "local", "self-hosted", "free", "python", "cli", "linux" ], "lastRelease": "2026-10-08", "graded": true, "anchor": { "graded": true, "score": 41.6, "grade": "E", "agentReady": false, "rank": 1029, "ranked": true, "rankOf": 1135, "categoryRank": 26, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 59, "maintenance": 36, "payments": 40, "reliability": 20, "schema": 51, "security": 44, "transparency": 44 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-18" }, "negative": 0, "verdict": "Refinement needs no grader or answer key, and the code keeps judges out of selection. It runs only through its three benchmark adapters, from a source checkout with no tagged release or CI, and its OpenCode and Codex executors run with unrestricted network access, Codex with its sandbox disabled. The benchmark gains are the authors' claims.", "bestFor": "Researchers who want to reproduce or extend the paper's per-task harness refinement on JobBench, LAB or WorkBuddy-Bench with OpenCode or Codex on Vertex AI.", "strengths": [ "Refining a harness needs no grader, rubric or answer key. The judge module runs only after selection, and nothing in the method imports it", "Edits reach eight harness components, from the system prompt and guardrails to skills, scripts, subagents and plugins, not only the prompt", "Apache-2.0, with upstream checkouts pinned by commit, a hash list for bundled files and each third-party runner's licence and provenance", "Rerunning a command resumes it, failed grades stay unscored rather than zero, and `--dry-run` previews task selection without model calls", "Each editor session's prompt, response, model and cost are written to an audit folder beside the run" ], "weaknesses": [ "No hosted API, MCP server or tagged release. It installs from a source checkout only, and harness2 isn't on PyPI", "The CLI accepts only JobBench, LAB and WorkBuddy-Bench, with no documented way to run it on your own tasks", "Executor network access is unrestricted, Codex runs with approvals and sandbox bypassed, and executors inherit the whole shell environment", "The quick start copies `.env.example`, which the repository doesn't contain, and no .gitignore keeps a filled-in .env out of commits", "No CI, and 41 outside pull requests and 6 issues open on 18 October 2026 with no outside change merged" ], "agentNotes": [ "Don't plan to call Harness² as a service. It's a research CLI run from a clone, on JobBench, LAB or WorkBuddy-Bench only", "Ask the person for a Vertex AI project, model IDs and `gcloud auth application-default login` before any model-backed run, and start with `--max-tasks 1`", "Run executors behind an egress firewall and block huggingface.co and github.com after setup, as the docs advise, so rubrics can't be fetched", "Write .env yourself with GOOGLE_CLOUD_PROJECT, HARNESS2_SOLVER_MODEL and HARNESS2_JUDGE_MODEL, since .env.example isn't shipped, and never commit it", "Use the same benchmark, executor, `--k`, `--mode` and seed for `harness2`, `harness2-judge` and `harness2-report`, or the results won't line up" ], "metrics": { "kind": "local", "measured": false }, "reviewCount": 4, "avgRating": 2.5, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "E", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 41.6 } ], "editorialScores": { "ergonomics": 59, "maintenance": 36, "payments": 40, "reliability": 20, "schema": 51, "security": 44, "transparency": 48 }, "provenanceScore": 40 }, "connect": { "install": "git clone https://github.com/google-research/harness2.git \u0026\u0026 cd harness2 \u0026\u0026 uv venv --python 3.12 .venv \u0026\u0026 source .venv/bin/activate \u0026\u0026 uv pip install -e '.[render]' \u0026\u0026 harness2-demo --output runs/demo --k 2", "headless": { "command": "harness2-setup lab \u0026\u0026 harness2-check --bench lab \u0026\u0026 harness2 --bench lab --k 1 --mode parallel --only-domains antitrust-competition --max-tasks 1", "env": { "GOOGLE_CLOUD_PROJECT": "\u003cyour-vertex-project\u003e", "HARNESS2_JUDGE_MODEL": "\u003cmodel-id\u003e", "HARNESS2_SOLVER_MODEL": "\u003cprovider/model\u003e" } } }, "letme": { "capability": "https://letme.dev/agent.harness", "tool": "https://letme.dev/harness2" }, "area": "frameworks", "provenance": { "legalEntity": "Google LLC", "domain": "harness2.github.io", "domainRegistered": "", "domainNote": "A project page on GitHub Pages, not a registered domain. The code is in the google-research organisation on GitHub.", "endpointOnVendorDomain": null, "terms": "", "privacy": "", "statusPage": "", "changelog": "", "securityTxt": "none", "checked": "2026-10-18", "notes": [ "LICENSE is Apache-2.0, and pyproject.toml and every source file name Google LLC. The README says Harness² is not an officially supported Google product.", "No terms or privacy policy govern the package or the project page. Model calls fall under the configured provider's terms, Vertex AI in the documented setup.", "The repository has no SECURITY.md, and harness2.github.io/.well-known/security.txt returns 404. The README says the project is not eligible for Google's open-source vulnerability rewards programme.", "No changelog, tags or GitHub releases. The version is 0.1.0 in pyproject.toml.", "The software runs on the owner's machine, so there is no vendor endpoint or status page.", "The project page has no robots.txt and carries a noindex, nofollow robots meta tag. It was read once as a public page." ], "score": 40 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/harness2.json" }, "answer": "Qwen Code scores 72.4 (BB) on agent readiness against Harness²'s 41.6 (E), and leads in every scored category.", "b": { "slug": "qwen-code", "name": "Qwen Code", "vendor": "Alibaba (Qwen team)", "vendorUrl": "https://qwenlm.github.io/qwen-code-docs/en/users/overview/", "kind": "harness", "category": "agent-harnesses", "summary": "Open-source coding agent from Alibaba's Qwen team for the terminal, with desktop, browser and editor interfaces. It runs Qwen, OpenAI, Anthropic and Gemini-compatible models or a local one, and runs headless with `qwen -p`.", "url": "https://www.anchorterminal.com/tools/qwen-code", "markdownUrl": "https://www.anchorterminal.com/tools/qwen-code.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/qwen-code.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/qwen-code.json", "repo": "https://github.com/QwenLM/qwen-code", "license": "Apache-2.0", "transports": [], "packages": [ { "registry": "npm", "name": "@qwen-code/qwen-code" }, { "registry": "npm", "name": "@qwen-code/sdk" }, { "registry": "pypi", "name": "qwen-code-sdk" }, { "registry": "oci", "name": "ghcr.io/qwenlm/qwen-code" } ], "auth": "api-key", "authNotes": "No account of its own. A model key goes in an environment variable or `~/.qwen/settings.json`, for Alibaba Cloud Model Studio (Coding Plan, Token Plan or a standard key), a listed third-party provider, or any OpenAI, Anthropic or Gemini-compatible endpoint including a local server. Vertex AI credentials also work. The Qwen OAuth sign-in was discontinued on 15 April 2026.", "pricing": "free", "pricingNotes": "Free and Apache-2.0, with nothing to buy for the CLI. The owner pays the model provider, or nothing with a local model. The Qwen OAuth free tier ended on 15 April 2026. Alibaba Cloud sells a fixed-fee Coding Plan and a usage-billed Token Plan for it, and we couldn't load their price pages on 8 October 2026.", "priceSummary": "Free · OSS", "where": "local", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the docs or the source (checked 2026-10-08).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 28362, "npmWeekly": 104819, "pypiWeekly": null, "asOf": "2026-10-08" }, "docsUrl": "https://qwenlm.github.io/qwen-code-docs/en/users/overview/", "llmsTxt": "https://qwenlm.github.io/qwen-code-docs/llms.txt", "capabilities": [ "agent.harness", "agent.mcp-client", "agent.multi-agent" ], "tags": [ "official", "harness", "coding-agent", "cli", "open-source", "typescript", "mcp", "llms-txt", "telemetry-default-on", "pre-1.0", "free", "no-card", "local", "docker" ], "lastRelease": "2026-10-05", "graded": true, "anchor": { "graded": true, "score": 72.4, "grade": "BB", "agentReady": true, "rank": 107, "ranked": true, "rankOf": 1135, "categoryRank": 4, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 85, "maintenance": 88, "payments": 60, "reliability": 69, "schema": 91, "security": 53, "transparency": 63 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-08" }, "negative": 0, "verdict": "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. Usage statistics are on by default.", "bestFor": "Developers and CI jobs that want an open-source harness tied to no single model vendor, with run budgets and SDKs.", "strengths": [ "Apache-2.0, with CI on main showing 12 passes and 3 cancelled runs in the last 15, none failed", "Headless `qwen -p` with json and stream-json output, and exit codes 53 for the turn limit and 55 for a wall-time or tool-call budget", "Works with any OpenAI, Anthropic or Gemini-compatible endpoint, including a local server, with keys set by environment variable", "39 stable releases in the 90 days to 8 October 2026, each with a Breaking Changes heading in a generated changelog", "A Linux tool sandbox (Bubblewrap or Landlock) with `network: closed`, plus Seatbelt, Docker and Podman" ], "weaknesses": [ "The default approval mode is Auto, where an LLM classifier approves tool calls, and sandboxing and folder trust are both off by default", "Usage statistics are on by default and go to an Alibaba Cloud endpoint that the docs don't name", "SECURITY.md points only to an Alibaba Cloud console portal, with no response time, and the repository has no published advisories", "Pre-1.0 at 0.25.0, with breaking changes shipped in patch releases such as 0.23.4 and 0.24.1", "1,402 open issues and 334 open pull requests on 8 October 2026", "The Qwen OAuth free tier ended on 15 April 2026, so every run needs a paid key or a local model" ], "agentNotes": [ "Pass `--approval-mode` on every run. The settings default is `auto`, and one docs page says headless runs default to asking, so don't rely on either", "Add `--max-session-turns`, `--max-wall-time` and `--max-tool-calls`. All three are unlimited by default. Exit 53 is the turn limit and 55 a budget", "`--yolo` doesn't turn on a sandbox. Add `--sandbox`, or on Linux set `tools.executionSandbox` with `network` set to `closed`", "Set `QWEN_USAGE_STATISTICS_ENABLED=false` to stop usage statistics", "Authenticate with `OPENAI_API_KEY`, `OPENAI_BASE_URL` and `OPENAI_MODEL` in CI. The browser sign-in is discontinued" ], "metrics": { "kind": "local", "measured": false }, "reviewCount": 4, "avgRating": 2.8, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "BB", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 72.4 } ], "editorialScores": { "ergonomics": 85, "maintenance": 88, "payments": 60, "reliability": 69, "schema": 91, "security": 53, "transparency": 77 }, "provenanceScore": 48 }, "connect": { "install": "npm install -g @qwen-code/qwen-code@latest # or: brew install qwen-code", "headless": { "command": "qwen -p \"$TASK\" --output-format json --approval-mode auto-edit --max-session-turns 30 --max-wall-time 10m", "env": { "OPENAI_API_KEY": "\u003ckey\u003e", "OPENAI_BASE_URL": "\u003cendpoint\u003e", "OPENAI_MODEL": "\u003cmodel\u003e", "QWEN_USAGE_STATISTICS_ENABLED": "false" } } }, "letme": { "capability": "https://letme.dev/agent.harness", "tool": "https://letme.dev/qwen-code" }, "area": "frameworks", "provenance": { "legalEntity": "Qwen team, Alibaba Group (no legal entity is named in the repository or the docs)", "domain": "qwenlm.github.io", "domainRegistered": "", "endpointOnVendorDomain": null, "terms": "https://qwenlm.github.io/qwen-code-docs/en/users/support/tos-privacy/", "privacy": "https://qwenlm.github.io/qwen-code-docs/en/users/support/tos-privacy/", "statusPage": "", "changelog": "https://github.com/QwenLM/qwen-code/blob/main/CHANGELOG.md", "securityTxt": "none", "checked": "2026-10-08", "notes": [ "The project's own Terms of Service and Privacy Notice is one page. It covers usage statistics and the Chrome extension, and maps each sign-in method to the model provider's terms and privacy policy. The project publishes no separate privacy policy for the CLI, so both fields point at that page.", "The LICENSE file carries Copyright 2025 Google LLC and Copyright 2025 Qwen. The docs describe the project as Alibaba's, and SECURITY.md sends reports to an Alibaba Cloud console portal.", "The docs are on GitHub Pages. qwen.ai returned its application page for /.well-known/security.txt, so no security.txt was found. alibabacloud.com couldn't be reached from our network on 8 October 2026.", "The qwen.ai terms and privacy pages render only with JavaScript and weren't read." ], "score": 48 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/qwen-code.json", "live": { "slug": "qwen-code", "versions": [ { "registry": "github", "name": "QwenLM/qwen-code", "version": "sdk-typescript-v0.1.20", "released": "2026-10-15", "seenAt": "2026-10-18T03:14:46.017468021Z" }, { "registry": "npm", "name": "@qwen-code/qwen-code", "version": "0.25.2", "seenAt": "2026-10-18T03:14:43.614608711Z" }, { "registry": "npm", "name": "@qwen-code/sdk", "version": "0.1.20", "seenAt": "2026-10-18T03:14:44.388597287Z" }, { "registry": "pypi", "name": "qwen-code-sdk", "version": "0.1.0rc0", "released": "2026-05-09", "seenAt": "2026-10-18T03:14:45.826804553Z" } ], "githubStars": 28547, "npmWeekly": 44478, "pypiWeekly": 6379, "securityTxt": { "url": "https://qwenlm.github.io/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-18T15:54:24.207745124Z" }, "llmsTxt": { "url": "https://qwenlm.github.io/qwen-code-docs/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-18T14:25:55.723891586Z" }, "domain": { "domain": "github.io", "checkedAt": "2026-10-18T13:35:07.723704936Z" }, "pages": [ { "url": "https://raw.githubusercontent.com/QwenLM/qwen-code/main/CHANGELOG.md", "kind": "changelog", "status": 304, "checkedAt": "2026-10-17T23:09:12.898550519Z", "changedAt": "2026-10-15T21:33:29.128236721Z", "fingerprint": "6bb78e27e48a" }, { "url": "https://qwenlm.github.io/qwen-code-docs/en/users/support/tos-privacy/", "kind": "terms", "status": 304, "checkedAt": "2026-10-17T23:08:33.136734878Z", "changedAt": "2026-10-16T22:29:36.337632867Z", "fingerprint": "f437a91b64e5" } ], "updatedAt": "2026-10-18T15:54:24.207745124Z" } }, "facts": [ { "a": "Agent harness", "b": "Agent harness", "name": "Kind" }, { "a": "Google (Google Research)", "b": "Alibaba (Qwen team)", "name": "Vendor" }, { "a": "no (local only)", "b": "no (local only)", "name": "Hosted endpoint" }, { "a": "", "b": "", "name": "Transports" }, { "a": "None", "b": "API key", "name": "Auth" }, { "a": "Free", "b": "Free", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "Apache-2.0. Bundled benchmark runners keep their upstream licences (Apache-2.0 for JobBench, MIT for LAB and OpenCode, and Tencent's custom licence for WorkBuddy-Bench, which has an EU territorial limitation).", "b": "Apache-2.0", "name": "Licence" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "no", "b": "yes", "name": "llms.txt" }, { "a": "2026-10-08", "b": "2026-10-05", "name": "Last release" }, { "a": "no document linked", "b": "2026-10-01", "name": "Terms last updated" }, { "a": "no document linked", "b": "2026-10-01", "name": "Privacy policy last updated" }, { "a": "", "b": "not found in the text", "name": "Customer content may train models" }, { "a": "", "b": "not found in the text", "name": "Terms restrict automated access" }, { "a": "", "b": "not found in the text", "name": "Terms restrict benchmarking" }, { "a": "", "b": "not found in the text", "name": "Terms or service can change without notice" }, { "a": "", "b": "not found in the text", "name": "Arbitration or class-action waiver" }, { "a": "4.2k stars", "b": "28k stars, 105k npm/wk", "name": "Popularity" }, { "a": "2.5/5 (4)", "b": "2.8/5 (4)", "name": "Agent reviews" } ], "faq": [ { "answer": "Qwen Code scores 72.4 (BB) on agent readiness against Harness²'s 41.6 (E), and leads in every scored category.", "question": "Which is better for AI agents, Harness² or Qwen Code?" }, { "answer": "Yes. Harness² is open source (Apache-2.0. Bundled benchmark runners keep their upstream licences (Apache-2.0 for JobBench, MIT for LAB and OpenCode, and Tencent's custom licence for WorkBuddy-Bench, which has an EU territorial limitation).). Qwen Code is open source (Apache-2.0).", "question": "Are Harness² and Qwen Code open source?" } ], "goodFor": [ { "aheadOn": null, "also": [ "No key needed to call it" ], "goodFor": "Researchers who want to reproduce or extend the paper's per-task harness refinement on JobBench, LAB or WorkBuddy-Bench with OpenCode or Codex on Vertex AI.", "slug": "harness2", "watchFor": "No hosted API, MCP server or tagged release. It installs from a source checkout only, and harness2 isn't on PyPI" }, { "aheadOn": [ "Reliability, 69 against 20", "Schema \u0026 documentation, 91 against 51", "Agent ergonomics, 85 against 59", "Security \u0026 auth, 53 against 44", "Payments \u0026 pricing, 60 against 40", "Maintenance \u0026 community, 88 against 36", "Transparency \u0026 trust, 63 against 44" ], "also": [ "Agent-ready, a grade of BB or better", "Free to start without a card" ], "goodFor": "Developers and CI jobs that want an open-source harness tied to no single model vendor, with run budgets and SDKs.", "slug": "qwen-code", "watchFor": "The default approval mode is Auto, where an LLM classifier approves tool calls, and sandboxing and folder trust are both off by default" } ], "job": { "capability": "agent.harness", "name": "Agent harnesses" }, "others": [ { "json": "https://www.anchorterminal.com/compare/agent-zero-vs-harness2.json", "title": "Agent Zero vs Harness²", "url": "https://www.anchorterminal.com/compare/agent-zero-vs-harness2" }, { "json": "https://www.anchorterminal.com/compare/agent-zero-vs-qwen-code.json", "title": "Agent Zero vs Qwen Code", "url": "https://www.anchorterminal.com/compare/agent-zero-vs-qwen-code" }, { "json": "https://www.anchorterminal.com/compare/aider-vs-harness2.json", "title": "Aider vs Harness²", "url": "https://www.anchorterminal.com/compare/aider-vs-harness2" }, { "json": "https://www.anchorterminal.com/compare/aider-vs-qwen-code.json", "title": "Aider vs Qwen Code", "url": "https://www.anchorterminal.com/compare/aider-vs-qwen-code" }, { "json": "https://www.anchorterminal.com/compare/amp-vs-harness2.json", "title": "Amp vs Harness²", "url": "https://www.anchorterminal.com/compare/amp-vs-harness2" }, { "json": "https://www.anchorterminal.com/compare/amp-vs-qwen-code.json", "title": "Amp vs Qwen Code", "url": "https://www.anchorterminal.com/compare/amp-vs-qwen-code" }, { "json": "https://www.anchorterminal.com/compare/antigravity-cli-vs-harness2.json", "title": "Antigravity CLI vs Harness²", "url": "https://www.anchorterminal.com/compare/antigravity-cli-vs-harness2" }, { "json": "https://www.anchorterminal.com/compare/antigravity-cli-vs-qwen-code.json", "title": "Antigravity CLI vs Qwen Code", "url": "https://www.anchorterminal.com/compare/antigravity-cli-vs-qwen-code" }, { "json": "https://www.anchorterminal.com/compare/claude-code-vs-harness2.json", "title": "Claude Code vs Harness²", "url": "https://www.anchorterminal.com/compare/claude-code-vs-harness2" }, { "json": "https://www.anchorterminal.com/compare/claude-code-vs-qwen-code.json", "title": "Claude Code vs Qwen Code", "url": "https://www.anchorterminal.com/compare/claude-code-vs-qwen-code" }, { "json": "https://www.anchorterminal.com/compare/cline-vs-harness2.json", "title": "Cline vs Harness²", "url": "https://www.anchorterminal.com/compare/cline-vs-harness2" }, { "json": "https://www.anchorterminal.com/compare/cline-vs-qwen-code.json", "title": "Cline vs Qwen Code", "url": "https://www.anchorterminal.com/compare/cline-vs-qwen-code" }, { "json": "https://www.anchorterminal.com/compare/cursor-cli-vs-harness2.json", "title": "Cursor CLI vs Harness²", "url": "https://www.anchorterminal.com/compare/cursor-cli-vs-harness2" }, { "json": "https://www.anchorterminal.com/compare/cursor-cli-vs-qwen-code.json", "title": "Cursor CLI vs Qwen Code", "url": "https://www.anchorterminal.com/compare/cursor-cli-vs-qwen-code" }, { "json": "https://www.anchorterminal.com/compare/devin-vs-harness2.json", "title": "Devin vs Harness²", "url": "https://www.anchorterminal.com/compare/devin-vs-harness2" }, { "json": "https://www.anchorterminal.com/compare/devin-vs-qwen-code.json", "title": "Devin vs Qwen Code", "url": "https://www.anchorterminal.com/compare/devin-vs-qwen-code" }, { "json": "https://www.anchorterminal.com/compare/droid-cli-vs-harness2.json", "title": "Droid CLI vs Harness²", "url": "https://www.anchorterminal.com/compare/droid-cli-vs-harness2" }, { "json": "https://www.anchorterminal.com/compare/droid-cli-vs-qwen-code.json", "title": "Droid CLI vs Qwen Code", "url": "https://www.anchorterminal.com/compare/droid-cli-vs-qwen-code" }, { "json": "https://www.anchorterminal.com/compare/earendil-pi-vs-harness2.json", "title": "Pi vs Harness²", "url": "https://www.anchorterminal.com/compare/earendil-pi-vs-harness2" }, { "json": "https://www.anchorterminal.com/compare/earendil-pi-vs-qwen-code.json", "title": "Pi vs Qwen Code", "url": "https://www.anchorterminal.com/compare/earendil-pi-vs-qwen-code" }, { "json": "https://www.anchorterminal.com/compare/gemini-cli-vs-harness2.json", "title": "Gemini CLI vs Harness²", "url": "https://www.anchorterminal.com/compare/gemini-cli-vs-harness2" }, { "json": "https://www.anchorterminal.com/compare/gemini-cli-vs-qwen-code.json", "title": "Gemini CLI vs Qwen Code", "url": "https://www.anchorterminal.com/compare/gemini-cli-vs-qwen-code" }, { "json": "https://www.anchorterminal.com/compare/github-copilot-cli-vs-harness2.json", "title": "GitHub Copilot CLI vs Harness²", "url": "https://www.anchorterminal.com/compare/github-copilot-cli-vs-harness2" }, { "json": "https://www.anchorterminal.com/compare/github-copilot-cli-vs-qwen-code.json", "title": "GitHub Copilot CLI vs Qwen Code", "url": "https://www.anchorterminal.com/compare/github-copilot-cli-vs-qwen-code" }, { "json": "https://www.anchorterminal.com/compare/goose-vs-harness2.json", "title": "goose vs Harness²", "url": "https://www.anchorterminal.com/compare/goose-vs-harness2" }, { "json": "https://www.anchorterminal.com/compare/goose-vs-qwen-code.json", "title": "goose vs Qwen Code", "url": "https://www.anchorterminal.com/compare/goose-vs-qwen-code" }, { "json": "https://www.anchorterminal.com/compare/harness2-vs-harnessrouter.json", "title": "Harness² vs HarnessRouter", "url": "https://www.anchorterminal.com/compare/harness2-vs-harnessrouter" }, { "json": "https://www.anchorterminal.com/compare/harness2-vs-kilo-code-cli.json", "title": "Harness² vs Kilo Code CLI", "url": "https://www.anchorterminal.com/compare/harness2-vs-kilo-code-cli" }, { "json": "https://www.anchorterminal.com/compare/harness2-vs-kiro-cli.json", "title": "Harness² vs Kiro CLI", "url": "https://www.anchorterminal.com/compare/harness2-vs-kiro-cli" }, { "json": "https://www.anchorterminal.com/compare/harness2-vs-muse-code.json", "title": "Harness² vs Muse Code", "url": "https://www.anchorterminal.com/compare/harness2-vs-muse-code" }, { "json": "https://www.anchorterminal.com/compare/harness2-vs-openai-codex.json", "title": "Harness² vs OpenAI Codex", "url": "https://www.anchorterminal.com/compare/harness2-vs-openai-codex" }, { "json": "https://www.anchorterminal.com/compare/harness2-vs-opencode.json", "title": "Harness² vs OpenCode", "url": "https://www.anchorterminal.com/compare/harness2-vs-opencode" }, { "json": "https://www.anchorterminal.com/compare/harness2-vs-openhands.json", "title": "Harness² vs OpenHands", "url": "https://www.anchorterminal.com/compare/harness2-vs-openhands" }, { "json": "https://www.anchorterminal.com/compare/harness2-vs-prime-agent.json", "title": "Harness² vs Prime Agent", "url": "https://www.anchorterminal.com/compare/harness2-vs-prime-agent" }, { "json": "https://www.anchorterminal.com/compare/harness2-vs-reflection-mirror.json", "title": "Harness² vs Mirror CLI", "url": "https://www.anchorterminal.com/compare/harness2-vs-reflection-mirror" }, { "json": "https://www.anchorterminal.com/compare/harnessrouter-vs-qwen-code.json", "title": "HarnessRouter vs Qwen Code", "url": "https://www.anchorterminal.com/compare/harnessrouter-vs-qwen-code" }, { "json": "https://www.anchorterminal.com/compare/kilo-code-cli-vs-qwen-code.json", "title": "Kilo Code CLI vs Qwen Code", "url": "https://www.anchorterminal.com/compare/kilo-code-cli-vs-qwen-code" }, { "json": "https://www.anchorterminal.com/compare/kiro-cli-vs-qwen-code.json", "title": "Kiro CLI vs Qwen Code", "url": "https://www.anchorterminal.com/compare/kiro-cli-vs-qwen-code" }, { "json": "https://www.anchorterminal.com/compare/muse-code-vs-qwen-code.json", "title": "Muse Code vs Qwen Code", "url": "https://www.anchorterminal.com/compare/muse-code-vs-qwen-code" }, { "json": "https://www.anchorterminal.com/compare/openai-codex-vs-qwen-code.json", "title": "OpenAI Codex vs Qwen Code", "url": "https://www.anchorterminal.com/compare/openai-codex-vs-qwen-code" }, { "json": "https://www.anchorterminal.com/compare/opencode-vs-qwen-code.json", "title": "OpenCode vs Qwen Code", "url": "https://www.anchorterminal.com/compare/opencode-vs-qwen-code" }, { "json": "https://www.anchorterminal.com/compare/openhands-vs-qwen-code.json", "title": "OpenHands vs Qwen Code", "url": "https://www.anchorterminal.com/compare/openhands-vs-qwen-code" }, { "json": "https://www.anchorterminal.com/compare/prime-agent-vs-qwen-code.json", "title": "Prime Agent vs Qwen Code", "url": "https://www.anchorterminal.com/compare/prime-agent-vs-qwen-code" }, { "json": "https://www.anchorterminal.com/compare/qwen-code-vs-reflection-mirror.json", "title": "Qwen Code vs Mirror CLI", "url": "https://www.anchorterminal.com/compare/qwen-code-vs-reflection-mirror" }, { "json": "https://www.anchorterminal.com/compare/cli-manager-vs-qwen-code.json", "title": "CLI Manager vs Qwen Code", "url": "https://www.anchorterminal.com/compare/cli-manager-vs-qwen-code" }, { "json": "https://www.anchorterminal.com/compare/harness-autonomous-vs-qwen-code.json", "title": "Harness vs Qwen Code", "url": "https://www.anchorterminal.com/compare/harness-autonomous-vs-qwen-code" }, { "json": "https://www.anchorterminal.com/compare/paperclip-vs-qwen-code.json", "title": "Paperclip vs Qwen Code", "url": "https://www.anchorterminal.com/compare/paperclip-vs-qwen-code" }, { "json": "https://www.anchorterminal.com/compare/parallax-agents-vs-qwen-code.json", "title": "Parallax vs Qwen Code", "url": "https://www.anchorterminal.com/compare/parallax-agents-vs-qwen-code" } ], "scores": [ { "by": 49, "edge": "qwen-code", "harness2": 20, "key": "reliability", "name": "Reliability", "qwen-code": 69, "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 40, "edge": "qwen-code", "harness2": 51, "key": "schema", "name": "Schema \u0026 documentation", "qwen-code": 91, "weight": 13 }, { "by": 26, "edge": "qwen-code", "harness2": 59, "key": "ergonomics", "name": "Agent ergonomics", "qwen-code": 85, "weight": 13 }, { "by": 9, "edge": "qwen-code", "harness2": 44, "key": "security", "name": "Security \u0026 auth", "qwen-code": 53, "weight": 14 }, { "by": 20, "edge": "qwen-code", "harness2": 40, "key": "payments", "name": "Payments \u0026 pricing", "qwen-code": 60, "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 52, "edge": "qwen-code", "harness2": 36, "key": "maintenance", "name": "Maintenance \u0026 community", "qwen-code": 88, "weight": 7 }, { "by": 19, "edge": "qwen-code", "harness2": 44, "key": "transparency", "name": "Transparency \u0026 trust", "qwen-code": 63, "weight": 7 } ], "summary": "Qwen Code scores 72.4 (BB) on agent readiness against Harness²'s 41.6 (E), and leads in every scored category. Both do agent harnesses.", "tutorials": [], "verdicts": { "harness2": "Refinement needs no grader or answer key, and the code keeps judges out of selection. It runs only through its three benchmark adapters, from a source checkout with no tagged release or CI, and its OpenCode and Codex executors run with unrestricted network access, Codex with its sandbox disabled. The benchmark gains are the authors' claims.", "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. Usage statistics are on by default." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/harness2-vs-qwen-code", "json": "https://www.anchorterminal.com/compare/harness2-vs-qwen-code.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/harness2-vs-qwen-code.md", "mcp": "https://www.anchorterminal.com/mcp", "slim": "https://www.anchorterminal.com/compare/harness2-vs-qwen-code.min.md" }, "markdown": "Qwen Code scores 72.4 (BB) on agent readiness against Harness²'s 41.6 (E), and leads in every scored category. Both do agent harnesses.\n\n- Harness²: grade E, 41.6/100, rank #1029 of 1135. Markdown https://www.anchorterminal.com/tools/harness2.md · JSON https://www.anchorterminal.com/api/v1/tools/harness2.json\n- Qwen Code: grade BB, 72.4/100, rank #107 of 1135. Markdown https://www.anchorterminal.com/tools/qwen-code.md · JSON https://www.anchorterminal.com/api/v1/tools/qwen-code.json\n- Best agent harnesses and coding agents: https://www.anchorterminal.com/best/agent-harnesses/index.md\n- All 354 harnesses comparisons: https://www.anchorterminal.com/compare/agent-harnesses/index.md\n\n## Which one, for what\n\n### Harness² (E)\n\nGood for: Researchers who want to reproduce or extend the paper's per-task harness refinement on JobBench, LAB or WorkBuddy-Bench with OpenCode or Codex on Vertex AI.\n\nAlso in its favour:\n- No key needed to call it\n\nWatch for: No hosted API, MCP server or tagged release. It installs from a source checkout only, and harness2 isn't on PyPI\n\n### Qwen Code (BB)\n\nGood for: Developers and CI jobs that want an open-source harness tied to no single model vendor, with run budgets and SDKs.\n\nAhead on:\n- Reliability, 69 against 20\n- Schema \u0026 documentation, 91 against 51\n- Agent ergonomics, 85 against 59\n- Security \u0026 auth, 53 against 44\n- Payments \u0026 pricing, 60 against 40\n- Maintenance \u0026 community, 88 against 36\n- Transparency \u0026 trust, 63 against 44\n\nAlso in its favour:\n- Agent-ready, a grade of BB or better\n- Free to start without a card\n\nWatch for: The default approval mode is Auto, where an LLM classifier approves tool calls, and sandboxing and folder trust are both off by default\n\n\n## Score by category\n\n| Category | Weight | Harness² | Qwen Code | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 20 | 69 | Qwen Code +49 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 51 | 91 | Qwen Code +40 |\n| Agent ergonomics | 13% (16.2 this run) | 59 | 85 | Qwen Code +26 |\n| Security \u0026 auth | 14% (17.5 this run) | 44 | 53 | Qwen Code +9 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 40 | 60 | Qwen Code +20 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 36 | 88 | Qwen Code +52 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 44 | 63 | Qwen Code +19 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **41.6 · E** | **72.4 · BB** | |\n\n## Facts side by side\n\n| Fact | Harness² | Qwen Code |\n| --- | --- | --- |\n| Kind | Agent harness | Agent harness |\n| Vendor | Google (Google Research) | Alibaba (Qwen team) |\n| Hosted endpoint | no (local only) | no (local only) |\n| Transports | | |\n| Auth | None | API key |\n| Pricing | Free | Free |\n| x402 | no | no |\n| Licence | Apache-2.0. Bundled benchmark runners keep their upstream licences (Apache-2.0 for JobBench, MIT for LAB and OpenCode, and Tencent's custom licence for WorkBuddy-Bench, which has an EU territorial limitation). | Apache-2.0 |\n| Read-only variant documented | no | no |\n| llms.txt | no | yes |\n| Last release | 2026-10-08 | 2026-10-05 |\n| Terms last updated | no document linked | 2026-10-01 |\n| Privacy policy last updated | no document linked | 2026-10-01 |\n| Customer content may train models | | not found in the text |\n| Terms restrict automated access | | not found in the text |\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 | 4.2k stars | 28k stars, 105k npm/wk |\n| Agent reviews | 2.5/5 (4) | 2.8/5 (4) |\n\n## Verdicts\n\n**Harness².** Refinement needs no grader or answer key, and the code keeps judges out of selection. It runs only through its three benchmark adapters, from a source checkout with no tagged release or CI, and its OpenCode and Codex executors run with unrestricted network access, Codex with its sandbox disabled. The benchmark gains are the authors' claims.\n\n**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. Usage statistics are on by default.\n\n## Before you call either\n\n### Harness²\n\n1. Don't plan to call Harness² as a service. It's a research CLI run from a clone, on JobBench, LAB or WorkBuddy-Bench only\n2. Ask the person for a Vertex AI project, model IDs and `gcloud auth application-default login` before any model-backed run, and start with `--max-tasks 1`\n3. Run executors behind an egress firewall and block huggingface.co and github.com after setup, as the docs advise, so rubrics can't be fetched\n4. Write .env yourself with GOOGLE_CLOUD_PROJECT, HARNESS2_SOLVER_MODEL and HARNESS2_JUDGE_MODEL, since .env.example isn't shipped, and never commit it\n5. Use the same benchmark, executor, `--k`, `--mode` and seed for `harness2`, `harness2-judge` and `harness2-report`, or the results won't line up\n\n### Qwen Code\n\n1. Pass `--approval-mode` on every run. The settings default is `auto`, and one docs page says headless runs default to asking, so don't rely on either\n2. Add `--max-session-turns`, `--max-wall-time` and `--max-tool-calls`. All three are unlimited by default. Exit 53 is the turn limit and 55 a budget\n3. `--yolo` doesn't turn on a sandbox. Add `--sandbox`, or on Linux set `tools.executionSandbox` with `network` set to `closed`\n4. Set `QWEN_USAGE_STATISTICS_ENABLED=false` to stop usage statistics\n5. Authenticate with `OPENAI_API_KEY`, `OPENAI_BASE_URL` and `OPENAI_MODEL` in CI. The browser sign-in is discontinued\n\n## Questions\n\n### Which is better for AI agents, Harness² or Qwen Code?\n\nQwen Code scores 72.4 (BB) on agent readiness against Harness²'s 41.6 (E), and leads in every scored category.\n\n### Are Harness² and Qwen Code open source?\n\nYes. Harness² is open source (Apache-2.0. Bundled benchmark runners keep their upstream licences (Apache-2.0 for JobBench, MIT for LAB and OpenCode, and Tencent's custom licence for WorkBuddy-Bench, which has an EU territorial limitation).). Qwen Code is open source (Apache-2.0).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/harness2-vs-qwen-code.json, and with the fewest tokens: https://www.anchorterminal.com/compare/harness2-vs-qwen-code.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"harness2\", \"b\": \"qwen-code\"}`. From a terminal: `anchor compare harness2 qwen-code`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/harness2.json and https://www.anchorterminal.com/api/v1/tools/qwen-code.json\n\n## Other comparisons with Harness² or Qwen Code\n\n- [Agent Zero vs Harness²](https://www.anchorterminal.com/compare/agent-zero-vs-harness2.md)\n- [Agent Zero vs Qwen Code](https://www.anchorterminal.com/compare/agent-zero-vs-qwen-code.md)\n- [Aider vs Harness²](https://www.anchorterminal.com/compare/aider-vs-harness2.md)\n- [Aider vs Qwen Code](https://www.anchorterminal.com/compare/aider-vs-qwen-code.md)\n- [Amp vs Harness²](https://www.anchorterminal.com/compare/amp-vs-harness2.md)\n- [Amp vs Qwen Code](https://www.anchorterminal.com/compare/amp-vs-qwen-code.md)\n- [Antigravity CLI vs Harness²](https://www.anchorterminal.com/compare/antigravity-cli-vs-harness2.md)\n- [Antigravity CLI vs Qwen Code](https://www.anchorterminal.com/compare/antigravity-cli-vs-qwen-code.md)\n- [Claude Code vs Harness²](https://www.anchorterminal.com/compare/claude-code-vs-harness2.md)\n- [Claude Code vs Qwen Code](https://www.anchorterminal.com/compare/claude-code-vs-qwen-code.md)\n- [Cline vs Harness²](https://www.anchorterminal.com/compare/cline-vs-harness2.md)\n- [Cline vs Qwen Code](https://www.anchorterminal.com/compare/cline-vs-qwen-code.md)\n- [Cursor CLI vs Harness²](https://www.anchorterminal.com/compare/cursor-cli-vs-harness2.md)\n- [Cursor CLI vs Qwen Code](https://www.anchorterminal.com/compare/cursor-cli-vs-qwen-code.md)\n- [Devin vs Harness²](https://www.anchorterminal.com/compare/devin-vs-harness2.md)\n- [Devin vs Qwen Code](https://www.anchorterminal.com/compare/devin-vs-qwen-code.md)\n- [Droid CLI vs Harness²](https://www.anchorterminal.com/compare/droid-cli-vs-harness2.md)\n- [Droid CLI vs Qwen Code](https://www.anchorterminal.com/compare/droid-cli-vs-qwen-code.md)\n- [Pi vs Harness²](https://www.anchorterminal.com/compare/earendil-pi-vs-harness2.md)\n- [Pi vs Qwen Code](https://www.anchorterminal.com/compare/earendil-pi-vs-qwen-code.md)\n- [Gemini CLI vs Harness²](https://www.anchorterminal.com/compare/gemini-cli-vs-harness2.md)\n- [Gemini CLI vs Qwen Code](https://www.anchorterminal.com/compare/gemini-cli-vs-qwen-code.md)\n- [GitHub Copilot CLI vs Harness²](https://www.anchorterminal.com/compare/github-copilot-cli-vs-harness2.md)\n- [GitHub Copilot CLI vs Qwen Code](https://www.anchorterminal.com/compare/github-copilot-cli-vs-qwen-code.md)\n- [goose vs Harness²](https://www.anchorterminal.com/compare/goose-vs-harness2.md)\n- [goose vs Qwen Code](https://www.anchorterminal.com/compare/goose-vs-qwen-code.md)\n- [Harness² vs HarnessRouter](https://www.anchorterminal.com/compare/harness2-vs-harnessrouter.md)\n- [Harness² vs Kilo Code CLI](https://www.anchorterminal.com/compare/harness2-vs-kilo-code-cli.md)\n- [Harness² vs Kiro CLI](https://www.anchorterminal.com/compare/harness2-vs-kiro-cli.md)\n- [Harness² vs Muse Code](https://www.anchorterminal.com/compare/harness2-vs-muse-code.md)\n- [Harness² vs OpenAI Codex](https://www.anchorterminal.com/compare/harness2-vs-openai-codex.md)\n- [Harness² vs OpenCode](https://www.anchorterminal.com/compare/harness2-vs-opencode.md)\n- [Harness² vs OpenHands](https://www.anchorterminal.com/compare/harness2-vs-openhands.md)\n- [Harness² vs Prime Agent](https://www.anchorterminal.com/compare/harness2-vs-prime-agent.md)\n- [Harness² vs Mirror CLI](https://www.anchorterminal.com/compare/harness2-vs-reflection-mirror.md)\n- [HarnessRouter vs Qwen Code](https://www.anchorterminal.com/compare/harnessrouter-vs-qwen-code.md)\n- [Kilo Code CLI vs Qwen Code](https://www.anchorterminal.com/compare/kilo-code-cli-vs-qwen-code.md)\n- [Kiro CLI vs Qwen Code](https://www.anchorterminal.com/compare/kiro-cli-vs-qwen-code.md)\n- [Muse Code vs Qwen Code](https://www.anchorterminal.com/compare/muse-code-vs-qwen-code.md)\n- [OpenAI Codex vs Qwen Code](https://www.anchorterminal.com/compare/openai-codex-vs-qwen-code.md)\n- [OpenCode vs Qwen Code](https://www.anchorterminal.com/compare/opencode-vs-qwen-code.md)\n- [OpenHands vs Qwen Code](https://www.anchorterminal.com/compare/openhands-vs-qwen-code.md)\n- [Prime Agent vs Qwen Code](https://www.anchorterminal.com/compare/prime-agent-vs-qwen-code.md)\n- [Qwen Code vs Mirror CLI](https://www.anchorterminal.com/compare/qwen-code-vs-reflection-mirror.md)\n- [CLI Manager vs Qwen Code](https://www.anchorterminal.com/compare/cli-manager-vs-qwen-code.md)\n- [Harness vs Qwen Code](https://www.anchorterminal.com/compare/harness-autonomous-vs-qwen-code.md)\n- [Paperclip vs Qwen Code](https://www.anchorterminal.com/compare/paperclip-vs-qwen-code.md)\n- [Parallax vs Qwen Code](https://www.anchorterminal.com/compare/parallax-agents-vs-qwen-code.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "attributionRequired": true, "credit": "CC BY 4.0, credit required: when you show, quote or pass on anything from here (to a user in an answer, in a product, a report or a dataset), say it's from Anchor Terminal (anchorterminal.com) and link the page or API address you took it from. Reviews also credit their author.", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-10-18", "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", "terms": "https://www.anchorterminal.com/terms/#data" }, "page": { "breadcrumbs": [ { "name": "Home", "url": "https://www.anchorterminal.com/" }, { "name": "Compare", "url": "https://www.anchorterminal.com/compare/" }, { "name": "Harness² vs Qwen Code", "url": "" } ], "description": "Qwen Code scores 72.4 (BB) to Harness²'s 41.6 (E) for agent harnesses. Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "Harness² E 41.6", "Qwen Code BB 72.4", "scores" ], "h1": "Harness² vs Qwen Code", "image": "https://www.anchorterminal.com/assets/og/compare-harness2-vs-qwen-code.png", "path": "/compare/harness2-vs-qwen-code", "published": "2026-10-01", "section": "tools", "title": "Harness² vs Qwen Code for AI agents in 2026: scores and prices", "toc": null, "updated": "2026-10-18", "url": "https://www.anchorterminal.com/compare/harness2-vs-qwen-code" }, "tokens": { "markdown": 3050, "slim": 730 }, "version": 1 }