{ "data": { "a": { "slug": "openai-agents-api", "name": "OpenAI Agents API", "vendor": "OpenAI", "vendorUrl": "https://openai.com/index/introducing-the-agents-api/", "kind": "http-api", "category": "agent-harnesses", "summary": "The OpenAI Agents API runs OpenAI's managed Codex harness as a hosted service. One call creates a session with a model, tools, MCP servers, subagents and an OpenAI-hosted or self-hosted sandbox, and OpenAI runs the loop.", "url": "https://www.anchorterminal.com/tools/openai-agents-api", "markdownUrl": "https://www.anchorterminal.com/tools/openai-agents-api.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/openai-agents-api.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/openai-agents-api.json", "dns": "openai-agents-api.grade.anchorterminal.com", "license": "Proprietary hosted API under OpenAI's Services Agreement. The SDKs are Apache 2.0", "transports": [ "https" ], "remoteUrl": "https://api.openai.com/v1/agents/sessions", "packages": [ { "registry": "pypi", "name": "openai" }, { "registry": "npm", "name": "openai" } ], "auth": "api-key", "authNotes": "An OpenAI project API key as a Bearer token, with the header `OpenAI-Beta: agents=v1`. Project keys can be restricted per endpoint or read-only, and service accounts and workload identity federation are available, per the openai-api listing. Signing up and creating a key need a person in a browser.", "pricing": "usage", "pricingNotes": "No fee for the API itself. Model tokens are billed at the chosen model's API rates, OpenAI tools at their built-in rates (web search $10.00 per 1,000 calls plus content tokens), and OpenAI-hosted sandboxes at container rates, $0.03 for 1 GB, $0.12 for 4 GB, $0.48 for 16 GB and $1.92 for 64 GB per 20-minute session, billed by the minute with a 5-minute minimum. Since 9 October sandbox compute is billed only during active turns (checked 2026-11-06).", "priceSummary": "Pay per use", "where": "hosted", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the Agents API guides or on OpenAI's pricing page; billing is to an OpenAI account (checked 2026-11-06).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": null, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-11-06" }, "docsUrl": "https://developers.openai.com/api/docs/guides/agents-api/overview", "llmsTxt": "https://developers.openai.com/api/docs/llms.txt", "capabilities": [ "agent.harness" ], "tags": [ "official", "hosted", "beta", "usage-priced", "llms-txt", "status-page", "mcp-client", "sandbox", "subagents", "webhooks", "soc2", "iso27001", "bug-bounty" ], "lastRelease": "2026-10-16", "graded": true, "anchor": { "graded": true, "score": 73.3, "grade": "BB", "agentReady": true, "rank": 99, "ranked": true, "rankOf": 1354, "categoryRank": 2, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 80, "maintenance": 87, "payments": 30, "reliability": 60, "schema": 88, "security": 87, "transparency": 85 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-11-06" }, "negative": 0, "verdict": "OpenAI's hosted agent runtime, the Codex harness behind one session call, with MCP, functions, web search, computer use, subagents and sandboxes on OpenAI or your own infrastructure. Documentation, errors and SDKs are thorough. It's still public beta, can't use Zero Data Retention and keeps data in the United States only.", "bestFor": "Teams that want OpenAI to run the agent loop, with sandboxes, MCP tools and subagents, and are fine with a beta API, US-only data residency and no Zero Data Retention.", "strengths": [ "One session call configures the model, tools, MCP servers, subagents and the sandbox, and OpenAI runs and recovers the loop", "Sandboxes on OpenAI or self-hosted, with guides for ten providers including E2B, Daytona, Modal, Cloudflare and Vercel", "An errors guide with codes per status and turn, Retry-After and a check-before-retry procedure", "Webhooks, streamed events, tracing and usage views for each session", "SDK examples in Python, JavaScript, Go, Java and Ruby", "Status page with its own Agents component" ], "weaknesses": [ "Public beta since 10 September 2026 behind the agents=v1 beta header, with no GA date", "Not eligible for Zero Data Retention, and data residency is United States only", "No idempotency key for session or turn requests; retries depend on checking state first", "One API-wide major outage on 29 September included it, plus several smaller incidents since release", "No retention period stated for published artifacts after a sandbox expires" ], "agentNotes": [ "POST https://api.openai.com/v1/agents/sessions with a project key and the header OpenAI-Beta: agents=v1, or use client.beta.agents in the SDKs", "Before retrying, retrieve the session and turn and check which actions completed, since there's no idempotency key", "Set the sandbox network to restricted with an allowlist of up to 100 hosts when the agent doesn't need the open web", "Save files from /workspace/outputs before deleting a session; no retention period is stated for artifacts", "Don't send data that needs Zero Data Retention or non-US residency; the Agents API supports neither" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "BB", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 73.3 } ], "editorialScores": { "ergonomics": 80, "maintenance": 87, "payments": 30, "reliability": 60, "schema": 88, "security": 87, "transparency": 75 }, "provenanceScore": 95, "checked": { "categories": { "ergonomics": "2026-11-06", "maintenance": "2026-11-06", "payments": "2026-11-06", "reliability": "2026-11-06", "schema": "2026-11-06", "security": "2026-11-06", "transparency": "2026-11-06" }, "last": "2026-11-06", "oldest": "2026-11-06", "stale": false, "staleAfterDays": 90 } }, "connect": { "http": "curl https://api.openai.com/v1/agents/sessions \\\n -H \"Authorization: Bearer $OPENAI_API_KEY\" \\\n -H \"OpenAI-Beta: agents=v1\" \\\n -H \"Content-Type: application/json\" \\\n -d @session.json # model, tools, environment and input, per the quickstart" }, "letme": { "capability": "https://letme.dev/agent.harness", "tool": "https://letme.dev/openai-agents-api" }, "sameCompany": [ "openai-api", "openai-embeddings", "openai-guardrails", "openai-moderation", "openai-image-api", "openai-sora", "openai-speech-to-text", "gpt-live", "openai-realtime", "openai-agents-sdk", "openai-decisions-api", "openai-codex", "gpt-oss-120b", "gpt-oss-20b" ], "area": "frameworks", "provenance": { "legalEntity": "OpenAI OpCo, LLC", "domain": "openai.com", "domainRegistered": "2007-01-19", "domainNote": "openai.com was registered in 2007, before OpenAI existed, per the openai-api listing.", "endpointOnVendorDomain": true, "terms": "https://openai.com/policies/services-agreement/", "privacy": "https://openai.com/policies/privacy-policy/", "statusPage": "https://status.openai.com", "changelog": "https://developers.openai.com/api/docs/changelog", "securityTxt": "valid", "checked": "2026-11-06", "notes": [ "The endpoint is on api.openai.com, the same host as the rest of the OpenAI API. Terms, privacy, security.txt and the domain are the openai-api listing's readings." ], "score": 95 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/openai-agents-api.json", "live": { "slug": "openai-agents-api", "probe": { "target": "https://api.openai.com/v1/agents/sessions", "method": "get", "lastAt": "2026-11-06T09:47:41.371658489Z", "lastOk": true, "lastStatus": 400, "lastMs": 162, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 148, "p95ms24h": 166, "samples24h": 47, "samples30d": 47, "days": [ { "date": "2026-11-06", "probes": 47, "ok": 47 } ] }, "vendorStatus": { "page": "https://status.openai.com", "indicator": "none", "summary": "All Systems Operational", "checkedAt": "2026-11-06T09:43:26.425829944Z" }, "updatedAt": "2026-11-06T09:47:41.371658489Z" } }, "answer": "OpenAI Agents API scores 73.3 (BB) on agent readiness against Qwen Code's 68.7 (B), and leads in 2 of 7 scored categories. Qwen Code leads on reliability, agent ergonomics and payments \u0026 pricing.", "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", "dns": "qwen-code.grade.anchorterminal.com", "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": "2026-11-01", "graded": true, "anchor": { "graded": true, "score": 68.7, "grade": "B", "agentReady": false, "rank": 251, "ranked": true, "rankOf": 1354, "categoryRank": 7, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 85, "maintenance": 88, "payments": 60, "reliability": 69, "schema": 91, "security": 53, "transparency": 66 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-11-01" }, "negative": -4, "negativeNotes": [ "2026-10-27. 0.26.2 stopped a cloned repository from setting the `qwen serve` daemon's bearer token. Before it, a project `.env`, `.qwen/.env` or workspace `settings.env` could preset `QWEN_SERVER_TOKEN`, the credential guarding a daemon that runs code as the user (commit 2c0c9fa, 24 October, with tests). Fixed in a release, documented only as the changelog line \"harden serve token resolution against project env injection\" with no advisory, -2, as kilo-code-cli's changelog-only MCP prompt fix and docker-agent's fixed skill-file command execution took. 0.25.3's fix stopping `@{...}` file content from being read as `!{...}` shell expressions in custom commands isn't deducted, since its own design note says the expression still reached the permission check. https://github.com/QwenLM/qwen-code/commit/2c0c9fa8dc4a8ea5ec688060549e0ff0aed717b4", "2026-10-26. Until then the terms and privacy page said that with your own API key \"No additional data is collected by Qwen Code beyond what your chosen API provider collects\", and that Vertex AI users sent nothing beyond Google Cloud, while usage statistics were on by default for every sign-in method and the source sent them to an Alibaba Cloud RUM endpoint (at 0.25.0, among others). The settings reference documented the default, so a misleading claim rather than undisclosed telemetry, corrected by commit 338f133 on 26 October, -2, as openmausbot's privacy policy against its default-on analytics took. https://github.com/QwenLM/qwen-code/commit/338f13366c1d86e586f7e0785942740da3503887" ], "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. Security fixes ship as changelog lines without advisories.", "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 a release most weeks (39 stable from 3 August to 1 November 2026) and CodeQL and a monthly scorecard in CI", "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", "Every release has 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 for every sign-in method and go to an Alibaba Cloud endpoint", "SECURITY.md points only to an Alibaba Cloud console portal, and the 27 October serve-token fix shipped with no advisory", "Pre-1.0 at 0.26.5, with breaking changes in patch releases such as 0.24.1, 0.26.1 and 0.26.2", "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", "Run 0.26.2 or later before using `qwen serve` in a cloned repository. Earlier versions let the repository's `.env` set the daemon token" ], "metrics": { "kind": "local", "measured": false }, "reviewCount": 4, "avgRating": 2.8, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "B", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 68.7 } ], "editorialScores": { "ergonomics": 85, "maintenance": 88, "payments": 60, "reliability": 69, "schema": 91, "security": 53, "transparency": 79 }, "provenanceScore": 52, "checked": { "categories": { "ergonomics": "2026-11-01", "maintenance": "2026-11-01", "payments": "2026-11-01", "reliability": "2026-11-01", "schema": "2026-11-01", "security": "2026-11-01", "transparency": "2026-11-01" }, "last": "2026-11-01", "lastMoved": "2026-11-01", "oldest": "2026-11-01", "stale": false, "staleAfterDays": 90 } }, "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": 52 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/qwen-code.json", "live": { "slug": "qwen-code", "versions": [ { "registry": "github", "name": "QwenLM/qwen-code", "version": "sdk-typescript-v0.1.28", "released": "2026-11-05", "seenAt": "2026-11-05T22:01:18.182505006Z" }, { "registry": "npm", "name": "@qwen-code/qwen-code", "version": "0.26.8", "seenAt": "2026-11-05T22:01:15.690542152Z" }, { "registry": "npm", "name": "@qwen-code/sdk", "version": "0.1.28", "seenAt": "2026-11-05T22:01:16.518001272Z" }, { "registry": "pypi", "name": "qwen-code-sdk", "version": "0.1.0rc0", "released": "2026-05-09", "seenAt": "2026-11-05T22:01:17.890342055Z" } ], "githubStars": 29027, "npmWeekly": 137629, "pypiWeekly": 4578, "securityTxt": { "url": "https://qwenlm.github.io/.well-known/security.txt", "state": "none", "checkedAt": "2026-11-05T15:55:31.566383527Z" }, "llmsTxt": { "url": "https://qwenlm.github.io/qwen-code-docs/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-11-05T15:27:06.530875085Z" }, "domain": { "domain": "github.io", "checkedAt": "2026-11-01T14:18:40.30630652Z" }, "pages": [ { "url": "https://raw.githubusercontent.com/QwenLM/qwen-code/main/CHANGELOG.md", "kind": "changelog", "status": 304, "checkedAt": "2026-11-05T13:03:35.868510672Z", "changedAt": "2026-11-04T08:32:10.150756778Z", "fingerprint": "3f7db253499a" }, { "url": "https://qwenlm.github.io/qwen-code-docs/en/users/support/tos-privacy/", "kind": "terms", "status": 200, "checkedAt": "2026-11-05T13:02:26.110066486Z", "changedAt": "2026-11-05T13:02:26.110066486Z", "fingerprint": "bbb1a628c54a" } ], "github": { "repo": "qwenlm/qwen-code", "checkedAt": "2026-11-02T09:20:00.147588033Z", "stars": 28875, "archived": false, "issuesEnabled": true, "pushedAt": "2026-11-02T09:15:07Z", "openIssues": 1640, "openPRs": 441, "issuesOpened90d": 2937, "issuesClosed90d": 1934, "prsMerged90d": 3654, "ci": { "branch": "main", "runs": 50, "success": 44, "failure": 0, "other": 6, "latest": "success", "latestAt": "2026-11-02T09:15:10Z" } }, "updatedAt": "2026-11-05T22:01:18.182505006Z" } }, "edges": [ { "by": 34, "category": "security", "leads": "openai-agents-api", "name": "Security \u0026 auth", "reasons": { "a": "Project keys with restricted per-endpoint permissions, service accounts and workload identity, per the openai-api listing; we didn't confirm a key can be limited to /v1/agents (27 of 30). Automatic review for approvals, a sandbox network restricted to a host allowlist, vaults for secrets and a sandbox security guide (17 of 20). The agent reads web pages, MCP results and browser content; the sandbox security guide and approval flow are the mitigations, with no prompt-injection guide of its own found (8 of 15). Tracing, observability and usage per session and admin audit logs (15). SOC 2 Type 2, ISO 27001 family, Bugcrowd bounty and a disclosure policy, per the openai-api listing (20). Not ZDR-eligible and US residency only, recorded under transparency. 27 + 17 + 8 + 15 + 20 = 87.", "b": "Framework reading (telemetry defaults, approvals, guardrails, sandboxing), five lines. Usage statistics are on by default (`privacy.usageStatisticsEnabled` defaults to true in the settings schema at 0.26.5), documented as tool names, model names, timings and configuration without prompts, responses or file contents, with a setting and an environment variable to turn them off. Credentials are API keys in environment variables or settings.json (15). Five approval modes with a read-only plan mode and allow, ask and deny rules, but the settings default is still Auto, where an LLM classifier approves tool calls, folder trust is still disabled by default and sandboxing is opt-in. Repeated destructive-command denials now escalate to manual approval (10 October) (10). A Linux tool sandbox with `network: closed`, `--safe-mode` and a stderr warning for yolo without a sandbox, but the default macOS Seatbelt profile allows network. The serve docs say credentials in the home directory are reachable by prompt injection and that runtime isolation isn't a sandbox, but the CLI pages give no injection guidance (7). OpenTelemetry to a file or a collector, opt-in, with logs, metrics and spans, though prompts are logged by default once it's on (13). SECURITY.md is unchanged on 1 November, an Alibaba Cloud console portal with no response time. Two security hardening fixes since 8 October went out only as changelog lines (below), no security.txt was found, and CodeQL and a monthly scorecard run in CI. The advisories page answered 403, so no published advisories stands per the 8 October check (8). 15 + 10 + 7 + 13 + 8 = 53." }, "scores": { "a": 87, "b": 53 } }, { "by": 30, "category": "payments", "leads": "qwen-code", "name": "Payments \u0026 pricing", "reasons": { "a": "No machine payment protocol (0). Model, tool and container prices published without a login, and no fee for the API itself (20). The Free tier reading of the openai-api listing, half (10). Sign-up in a browser (0). 0 + 20 + 10 + 0 = 30.", "b": "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." }, "scores": { "a": 30, "b": 60 } }, { "by": 19, "category": "transparency", "leads": "openai-agents-api", "name": "Transparency \u0026 trust", "reasons": { "a": "Closed service with clear terms, Apache-2.0 SDKs (15). Session state retained until deleted, deletable sessions and artifacts, not ZDR-eligible, US residency only, and the data-controls guide agrees; no retention period for artifacts after a sandbox expires (25 of 30). Dated deprecation notices with minimum periods for GA models; a beta API can change faster (15 of 20). Subprocessors and processing countries listed, per the openai-api listing (20). 15 + 25 + 15 + 20 = 75.", "b": "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." }, "scores": { "a": 85, "b": 66 } }, { "by": 9, "category": "reliability", "leads": "qwen-code", "name": "Reliability", "reasons": { "a": "Read as a hosted API. status.openai.com has an Agents component under APIs (20). Since release on 10 September (57 days, not 90), the feed names the Agents API in a degraded-performance incident on 14 September, the elevated errors across ChatGPT, Codex and the API on 29 September (the openai-api listing reads that one as a major, 17:52 to 23:14 UTC), computer use issues and degraded workspace agents on 6 and 7 October, degraded performance across the APIs for 22 minutes on 21 October, and overbilling for hosted containers on 19 September. One major, the rest minor (10). Rate limits come from the shared guide, published per tier and model with headers, and the errors page adds a Files API allowance on session creation (15). 429 and 503 guidance with Retry-After, capped backoff and a check-then-retry procedure for turns (15). The Scale Tier SLA in the openai-api listing isn't shown to cover a beta API (0). Public beta behind the agents=v1 header (0). 20 + 10 + 15 + 15 + 0 + 0 = 60.", "b": "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." }, "scores": { "a": 60, "b": 69 } }, { "by": 5, "category": "ergonomics", "leads": "qwen-code", "name": "Agent ergonomics", "reasons": { "a": "Read as an API an agent drives. Context is compacted automatically, and session budgets and streamed events keep output sized (20 of 25). Sessions can be listed, continued and steered, events streamed or sent by webhook, artifacts fetched (15 of 20). Actionable error codes with recovery steps (20). No idempotency key; a documented check-then-retry procedure (10 of 20). One session call with defaults (medium sandbox, network enabled), SDKs in five languages (15). 20 + 15 + 20 + 10 + 15 = 80.", "b": "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)." }, "scores": { "a": 80, "b": 85 } } ], "facts": [ { "a": "HTTP API", "b": "Agent harness", "name": "Kind" }, { "a": "OpenAI", "b": "Alibaba (Qwen team)", "name": "Vendor" }, { "a": "https://api.openai.com/v1/agents/sessions", "b": "no (local only)", "name": "Hosted endpoint" }, { "a": "https", "b": "", "name": "Transports" }, { "a": "API key", "b": "API key", "name": "Auth" }, { "a": "Pay per use", "b": "Free", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "Proprietary hosted API under OpenAI's Services Agreement. The SDKs are Apache 2.0", "b": "Apache-2.0", "name": "Licence" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "yes", "name": "llms.txt" }, { "a": "2026-10-16", "b": "2026-11-01", "name": "Last release" }, { "a": "couldn't be read", "b": "2026-10-01", "name": "Terms last updated" }, { "a": "couldn't be read", "b": "2026-10-01", "name": "Privacy policy last updated" }, { "a": "couldn't be read", "b": "not found in the text", "name": "Customer content may train models" }, { "a": "couldn't be read", "b": "not found in the text", "name": "Terms restrict automated access" }, { "a": "couldn't be read", "b": "not found in the text", "name": "Terms restrict benchmarking" }, { "a": "couldn't be read", "b": "not found in the text", "name": "Terms or service can change without notice" }, { "a": "couldn't be read", "b": "not found in the text", "name": "Arbitration or class-action waiver" }, { "a": "none", "b": "28k stars, 105k npm/wk", "name": "Popularity" }, { "a": "none", "b": "2.8/5 (4)", "name": "Agent reviews" } ], "faq": [ { "answer": "OpenAI Agents API scores 73.3 (BB) on agent readiness against Qwen Code's 68.7 (B), and leads in 2 of 7 scored categories. Qwen Code leads on reliability, agent ergonomics and payments \u0026 pricing.", "question": "Which is better for AI agents, OpenAI Agents API or Qwen Code?" }, { "answer": "OpenAI Agents API has a hosted endpoint at https://api.openai.com/v1/agents/sessions. No hosted endpoint is listed for Qwen Code.", "question": "Can an agent call OpenAI Agents API and Qwen Code without installing anything?" }, { "answer": "No open-source release is listed for OpenAI Agents API. Qwen Code is open source (Apache-2.0).", "question": "Are OpenAI Agents API and Qwen Code open source?" } ], "goodFor": [ { "aheadOn": [ "Security \u0026 auth, 87 against 53", "Transparency \u0026 trust, 85 against 66" ], "also": [ "Agent-ready, a grade of BB or better", "A hosted endpoint, with nothing to install", "No incidents deducted, where Qwen Code loses 4 points for them" ], "goodFor": "Teams that want OpenAI to run the agent loop, with sandboxes, MCP tools and subagents, and are fine with a beta API, US-only data residency and no Zero Data Retention.", "slug": "openai-agents-api", "watchFor": "Public beta since 10 September 2026 behind the agents=v1 beta header, with no GA date" }, { "aheadOn": [ "Reliability, 69 against 60", "Agent ergonomics, 85 against 80", "Payments \u0026 pricing, 60 against 30" ], "also": [ "Free to start without a card", "Open source" ], "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" } ], "history": { "openai-agents-api": null, "qwen-code": [ { "causes": [ "terms", "event" ], "date": "2026-11-01", "delta": -3.9, "from": 72.6, "fromGrade": "BB", "to": 68.7, "toGrade": "B" }, { "causes": [ "evidence" ], "date": "2026-10-28", "delta": 0.1, "from": 72.5, "fromGrade": "BB", "to": 72.6, "toGrade": "BB" }, { "causes": [ "method" ], "date": "2026-10-27", "delta": 0.1, "from": 72.4, "fromGrade": "BB", "to": 72.5, "toGrade": "BB" } ] }, "job": { "capability": "agent.harness", "name": "Agent harnesses" }, "others": [ { "json": "https://www.anchorterminal.com/compare/agent-zero-vs-openai-agents-api.json", "title": "Agent Zero vs OpenAI Agents API", "url": "https://www.anchorterminal.com/compare/agent-zero-vs-openai-agents-api" }, { "json": 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Vibe-Trading", "url": "https://www.anchorterminal.com/compare/openai-agents-api-vs-vibe-trading" }, { "json": "https://www.anchorterminal.com/compare/openai-agents-api-vs-warp.json", "title": "OpenAI Agents API vs Warp (Warp Agent CLI and the Oz Agent API)", "url": "https://www.anchorterminal.com/compare/openai-agents-api-vs-warp" }, { "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/qoder-cli-vs-qwen-code.json", "title": "Qoder CLI vs Qwen Code", "url": "https://www.anchorterminal.com/compare/qoder-cli-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/qwen-code-vs-rovo-dev-cli.json", "title": "Qwen Code vs Rovo Dev CLI", "url": "https://www.anchorterminal.com/compare/qwen-code-vs-rovo-dev-cli" }, { "json": "https://www.anchorterminal.com/compare/qwen-code-vs-unstoppable.json", "title": "Qwen Code vs Unstoppable", "url": "https://www.anchorterminal.com/compare/qwen-code-vs-unstoppable" }, { "json": "https://www.anchorterminal.com/compare/qwen-code-vs-vibe-trading.json", "title": "Qwen Code vs Vibe-Trading", "url": "https://www.anchorterminal.com/compare/qwen-code-vs-vibe-trading" }, { "json": "https://www.anchorterminal.com/compare/qwen-code-vs-warp.json", "title": "Qwen Code vs Warp (Warp Agent CLI and the Oz Agent API)", "url": "https://www.anchorterminal.com/compare/qwen-code-vs-warp" }, { "json": "https://www.anchorterminal.com/compare/clawboo-vs-qwen-code.json", "title": "Clawboo vs Qwen Code", "url": "https://www.anchorterminal.com/compare/clawboo-vs-qwen-code" }, { "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/openmausbot-vs-qwen-code.json", "title": "OpenMausBot vs Qwen Code", "url": "https://www.anchorterminal.com/compare/openmausbot-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" } ], "panel": null, "scores": [ { "by": 9, "edge": "qwen-code", "key": "reliability", "name": "Reliability", "openai-agents-api": 60, "qwen-code": 69, "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 3, "edge": "qwen-code", "key": "schema", "name": "Schema \u0026 documentation", "openai-agents-api": 88, "qwen-code": 91, "weight": 13 }, { "by": 5, "edge": "qwen-code", "key": "ergonomics", "name": "Agent ergonomics", "openai-agents-api": 80, "qwen-code": 85, "weight": 13 }, { "by": 34, "edge": "openai-agents-api", "key": "security", "name": "Security \u0026 auth", "openai-agents-api": 87, "qwen-code": 53, "weight": 14 }, { "by": 30, "edge": "qwen-code", "key": "payments", "name": "Payments \u0026 pricing", "openai-agents-api": 30, "qwen-code": 60, "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 1, "edge": "qwen-code", "key": "maintenance", "name": "Maintenance \u0026 community", "openai-agents-api": 87, "qwen-code": 88, "weight": 7 }, { "by": 19, "edge": "openai-agents-api", "key": "transparency", "name": "Transparency \u0026 trust", "openai-agents-api": 85, "qwen-code": 66, "weight": 7 } ], "summary": "OpenAI Agents API scores 73.3 (BB) on agent readiness against Qwen Code's 68.7 (B), and leads in 2 of 7 scored categories. Qwen Code leads on reliability, agent ergonomics and payments \u0026 pricing. Both do agent harnesses.", "tasks": null, "tutorials": [], "verdicts": { "openai-agents-api": "OpenAI's hosted agent runtime, the Codex harness behind one session call, with MCP, functions, web search, computer use, subagents and sandboxes on OpenAI or your own infrastructure. Documentation, errors and SDKs are thorough. It's still public beta, can't use Zero Data Retention and keeps data in the United States only.", "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." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/openai-agents-api-vs-qwen-code", "json": "https://www.anchorterminal.com/compare/openai-agents-api-vs-qwen-code.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/openai-agents-api-vs-qwen-code.md", "mcp": "https://www.anchorterminal.com/mcp", "slim": "https://www.anchorterminal.com/compare/openai-agents-api-vs-qwen-code.min.md" }, "markdown": "OpenAI Agents API scores 73.3 (BB) on agent readiness against Qwen Code's 68.7 (B), and leads in 2 of 7 scored categories. Qwen Code leads on reliability, agent ergonomics and payments \u0026 pricing. Both do agent harnesses.\n\n- OpenAI Agents API: grade BB, 73.3/100, rank #99 of 1354. Markdown https://www.anchorterminal.com/tools/openai-agents-api.md · JSON https://www.anchorterminal.com/api/v1/tools/openai-agents-api.json\n- Qwen Code: grade B, 68.7/100, rank #251 of 1354. 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 1041 harnesses comparisons: https://www.anchorterminal.com/compare/agent-harnesses/index.md\n\n## Which one, for what\n\n### OpenAI Agents API (BB)\n\nGood for: Teams that want OpenAI to run the agent loop, with sandboxes, MCP tools and subagents, and are fine with a beta API, US-only data residency and no Zero Data Retention.\n\nAhead on:\n- Security \u0026 auth, 87 against 53\n- Transparency \u0026 trust, 85 against 66\n\nAlso in its favour:\n- Agent-ready, a grade of BB or better\n- A hosted endpoint, with nothing to install\n- No incidents deducted, where Qwen Code loses 4 points for them\n\nWatch for: Public beta since 10 September 2026 behind the agents=v1 beta header, with no GA date\n\n### Qwen Code (B)\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 60\n- Agent ergonomics, 85 against 80\n- Payments \u0026 pricing, 60 against 30\n\nAlso in its favour:\n- Free to start without a card\n- Open source\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## Why the edge\n\n### Security \u0026 auth: OpenAI Agents API +34\n\n- OpenAI Agents API (87): Project keys with restricted per-endpoint permissions, service accounts and workload identity, per the openai-api listing; we didn't confirm a key can be limited to /v1/agents (27 of 30). Automatic review for approvals, a sandbox network restricted to a host allowlist, vaults for secrets and a sandbox security guide (17 of 20). The agent reads web pages, MCP results and browser content; the sandbox security guide and approval flow are the mitigations, with no prompt-injection guide of its own found (8 of 15). Tracing, observability and usage per session and admin audit logs (15). SOC 2 Type 2, ISO 27001 family, Bugcrowd bounty and a disclosure policy, per the openai-api listing (20). Not ZDR-eligible and US residency only, recorded under transparency. 27 + 17 + 8 + 15 + 20 = 87.\n- Qwen Code (53): Framework reading (telemetry defaults, approvals, guardrails, sandboxing), five lines. Usage statistics are on by default (`privacy.usageStatisticsEnabled` defaults to true in the settings schema at 0.26.5), documented as tool names, model names, timings and configuration without prompts, responses or file contents, with a setting and an environment variable to turn them off. Credentials are API keys in environment variables or settings.json (15). Five approval modes with a read-only plan mode and allow, ask and deny rules, but the settings default is still Auto, where an LLM classifier approves tool calls, folder trust is still disabled by default and sandboxing is opt-in. Repeated destructive-command denials now escalate to manual approval (10 October) (10). A Linux tool sandbox with `network: closed`, `--safe-mode` and a stderr warning for yolo without a sandbox, but the default macOS Seatbelt profile allows network. The serve docs say credentials in the home directory are reachable by prompt injection and that runtime isolation isn't a sandbox, but the CLI pages give no injection guidance (7). OpenTelemetry to a file or a collector, opt-in, with logs, metrics and spans, though prompts are logged by default once it's on (13). SECURITY.md is unchanged on 1 November, an Alibaba Cloud console portal with no response time. Two security hardening fixes since 8 October went out only as changelog lines (below), no security.txt was found, and CodeQL and a monthly scorecard run in CI. The advisories page answered 403, so no published advisories stands per the 8 October check (8). 15 + 10 + 7 + 13 + 8 = 53.\n\n### Payments \u0026 pricing: Qwen Code +30\n\n- OpenAI Agents API (30): No machine payment protocol (0). Model, tool and container prices published without a login, and no fee for the API itself (20). The Free tier reading of the openai-api listing, half (10). Sign-up in a browser (0). 0 + 20 + 10 + 0 = 30.\n- 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.\n\n### Transparency \u0026 trust: OpenAI Agents API +19\n\n- OpenAI Agents API (85): Closed service with clear terms, Apache-2.0 SDKs (15). Session state retained until deleted, deletable sessions and artifacts, not ZDR-eligible, US residency only, and the data-controls guide agrees; no retention period for artifacts after a sandbox expires (25 of 30). Dated deprecation notices with minimum periods for GA models; a beta API can change faster (15 of 20). Subprocessors and processing countries listed, per the openai-api listing (20). 15 + 25 + 15 + 20 = 75.\n- 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.\n\n### Reliability: Qwen Code +9\n\n- OpenAI Agents API (60): Read as a hosted API. status.openai.com has an Agents component under APIs (20). Since release on 10 September (57 days, not 90), the feed names the Agents API in a degraded-performance incident on 14 September, the elevated errors across ChatGPT, Codex and the API on 29 September (the openai-api listing reads that one as a major, 17:52 to 23:14 UTC), computer use issues and degraded workspace agents on 6 and 7 October, degraded performance across the APIs for 22 minutes on 21 October, and overbilling for hosted containers on 19 September. One major, the rest minor (10). Rate limits come from the shared guide, published per tier and model with headers, and the errors page adds a Files API allowance on session creation (15). 429 and 503 guidance with Retry-After, capped backoff and a check-then-retry procedure for turns (15). The Scale Tier SLA in the openai-api listing isn't shown to cover a beta API (0). Public beta behind the agents=v1 header (0). 20 + 10 + 15 + 15 + 0 + 0 = 60.\n- 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.\n\n### Agent ergonomics: Qwen Code +5\n\n- OpenAI Agents API (80): Read as an API an agent drives. Context is compacted automatically, and session budgets and streamed events keep output sized (20 of 25). Sessions can be listed, continued and steered, events streamed or sent by webhook, artifacts fetched (15 of 20). Actionable error codes with recovery steps (20). No idempotency key; a documented check-then-retry procedure (10 of 20). One session call with defaults (medium sandbox, network enabled), SDKs in five languages (15). 20 + 15 + 20 + 10 + 15 = 80.\n- 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).\n\n## Score by category\n\n| Category | Weight | OpenAI Agents API | Qwen Code | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 60 | 69 | Qwen Code +9 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 88 | 91 | Qwen Code +3 |\n| Agent ergonomics | 13% (16.2 this run) | 80 | 85 | Qwen Code +5 |\n| Security \u0026 auth | 14% (17.5 this run) | 87 | 53 | OpenAI Agents API +34 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 30 | 60 | Qwen Code +30 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 87 | 88 | Qwen Code +1 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 85 | 66 | OpenAI Agents API +19 |\n| Negative events | ≤15 | 0 | -4 | |\n| **Total** | | **73.3 · BB** | **68.7 · B** | |\n\n## Facts side by side\n\n| Fact | OpenAI Agents API | Qwen Code |\n| --- | --- | --- |\n| Kind | HTTP API | Agent harness |\n| Vendor | OpenAI | Alibaba (Qwen team) |\n| Hosted endpoint | `https://api.openai.com/v1/agents/sessions` | no (local only) |\n| Transports | https | |\n| Auth | API key | API key |\n| Pricing | Pay per use | Free |\n| x402 | no | no |\n| Licence | Proprietary hosted API under OpenAI's Services Agreement. The SDKs are Apache 2.0 | Apache-2.0 |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-10-16 | 2026-11-01 |\n| Terms last updated | couldn't be read | 2026-10-01 |\n| Privacy policy last updated | couldn't be read | 2026-10-01 |\n| Customer content may train models | couldn't be read | not found in the text |\n| Terms restrict automated access | couldn't be read | not found in the text |\n| Terms restrict benchmarking | couldn't be read | not found in the text |\n| Terms or service can change without notice | couldn't be read | not found in the text |\n| Arbitration or class-action waiver | couldn't be read | not found in the text |\n| Popularity | none | 28k stars, 105k npm/wk |\n| Agent reviews | none | 2.8/5 (4) |\n\n## How the scores have moved\n\n### OpenAI Agents API\n\nNo score change since it was listed.\n\n### Qwen Code\n\n- -3.9 on 1 November 2026 (BB to B): terms, negative event\n- +0.1 on 28 October 2026: new evidence\n- +0.1 on 27 October 2026: checklist\n\n## Verdicts\n\n**OpenAI Agents API.** OpenAI's hosted agent runtime, the Codex harness behind one session call, with MCP, functions, web search, computer use, subagents and sandboxes on OpenAI or your own infrastructure. Documentation, errors and SDKs are thorough. It's still public beta, can't use Zero Data Retention and keeps data in the United States only.\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. Security fixes ship as changelog lines without advisories.\n\n## Before you call either\n\n### OpenAI Agents API\n\n1. POST https://api.openai.com/v1/agents/sessions with a project key and the header OpenAI-Beta: agents=v1, or use client.beta.agents in the SDKs\n2. Before retrying, retrieve the session and turn and check which actions completed, since there's no idempotency key\n3. Set the sandbox network to restricted with an allowlist of up to 100 hosts when the agent doesn't need the open web\n4. Save files from /workspace/outputs before deleting a session; no retention period is stated for artifacts\n5. Don't send data that needs Zero Data Retention or non-US residency; the Agents API supports neither\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. Run 0.26.2 or later before using `qwen serve` in a cloned repository. Earlier versions let the repository's `.env` set the daemon token\n\n## Questions\n\n### Which is better for AI agents, OpenAI Agents API or Qwen Code?\n\nOpenAI Agents API scores 73.3 (BB) on agent readiness against Qwen Code's 68.7 (B), and leads in 2 of 7 scored categories. Qwen Code leads on reliability, agent ergonomics and payments \u0026 pricing.\n\n### Can an agent call OpenAI Agents API and Qwen Code without installing anything?\n\nOpenAI Agents API has a hosted endpoint at https://api.openai.com/v1/agents/sessions. No hosted endpoint is listed for Qwen Code.\n\n### Are OpenAI Agents API and Qwen Code open source?\n\nNo open-source release is listed for OpenAI Agents API. Qwen Code is open source (Apache-2.0).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/openai-agents-api-vs-qwen-code.json, and with the fewest tokens: https://www.anchorterminal.com/compare/openai-agents-api-vs-qwen-code.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"openai-agents-api\", \"b\": \"qwen-code\"}`. From a terminal: `anchor compare openai-agents-api qwen-code`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/openai-agents-api.json and https://www.anchorterminal.com/api/v1/tools/qwen-code.json\n\n## Other comparisons with OpenAI Agents API or Qwen Code\n\n- [Agent Zero vs OpenAI Agents API](https://www.anchorterminal.com/compare/agent-zero-vs-openai-agents-api.md)\n- [Agent Zero vs Qwen Code](https://www.anchorterminal.com/compare/agent-zero-vs-qwen-code.md)\n- [Aider vs OpenAI Agents API](https://www.anchorterminal.com/compare/aider-vs-openai-agents-api.md)\n- [Aider vs Qwen Code](https://www.anchorterminal.com/compare/aider-vs-qwen-code.md)\n- [Amp vs OpenAI Agents API](https://www.anchorterminal.com/compare/amp-vs-openai-agents-api.md)\n- [Amp vs Qwen Code](https://www.anchorterminal.com/compare/amp-vs-qwen-code.md)\n- [Antigravity CLI vs OpenAI Agents API](https://www.anchorterminal.com/compare/antigravity-cli-vs-openai-agents-api.md)\n- [Antigravity CLI vs Qwen Code](https://www.anchorterminal.com/compare/antigravity-cli-vs-qwen-code.md)\n- [Auggie CLI vs OpenAI Agents API](https://www.anchorterminal.com/compare/auggie-vs-openai-agents-api.md)\n- [Auggie CLI vs Qwen Code](https://www.anchorterminal.com/compare/auggie-vs-qwen-code.md)\n- [AXLR vs OpenAI Agents API](https://www.anchorterminal.com/compare/axlr-vs-openai-agents-api.md)\n- [AXLR vs Qwen Code](https://www.anchorterminal.com/compare/axlr-vs-qwen-code.md)\n- [Claude Code vs OpenAI Agents API](https://www.anchorterminal.com/compare/claude-code-vs-openai-agents-api.md)\n- [Claude Code vs Qwen Code](https://www.anchorterminal.com/compare/claude-code-vs-qwen-code.md)\n- [Cline vs OpenAI Agents API](https://www.anchorterminal.com/compare/cline-vs-openai-agents-api.md)\n- [Cline vs Qwen Code](https://www.anchorterminal.com/compare/cline-vs-qwen-code.md)\n- [Crush vs OpenAI Agents API](https://www.anchorterminal.com/compare/crush-vs-openai-agents-api.md)\n- [Crush vs Qwen 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