{ "data": { "a": { "slug": "openai-codex", "name": "OpenAI Codex", "vendor": "OpenAI", "vendorUrl": "https://openai.com", "kind": "harness", "category": "agent-harnesses", "summary": "OpenAI's coding agent for software development tasks.", "url": "https://www.anchorterminal.com/tools/openai-codex", "markdownUrl": "https://www.anchorterminal.com/tools/openai-codex.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/openai-codex.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/openai-codex.json", "dns": "openai-codex.grade.anchorterminal.com", "repo": "https://github.com/openai/codex", "license": "Apache-2.0 (Codex CLI, its Rust crates and the TypeScript and Python SDKs). Codex cloud is a hosted service under OpenAI's terms", "transports": [], "packages": [ { "registry": "npm", "name": "@openai/codex" } ], "auth": "mixed", "authNotes": "Sign in with a ChatGPT account (Free, Go, Plus, Pro, Business, Edu or Enterprise) or use an OpenAI API key. Cloud work such as GitHub code review and the Slack integration comes with Plus and above, and none of it works with an API key. `--oss` talks to a local Ollama or LM Studio server and needs no account.", "pricing": "freemium", "pricingNotes": "Included in every ChatGPT plan. Free $0, Go $8 a month, Plus $20, Pro from $100 (tiers at $100, $200 and $500), Business $20 a user a month billed annually for two or more users, Enterprise and Edu by quote. On Plus the docs estimate 15 to 160 local messages per five hours with GPT-6.1 Sol, and Pro has no five-hour limit. Cloud tasks use more of the allowance. With an API key you pay API token rates and can't use the cloud agent (checked 2026-10-02).", "priceSummary": "$20 / mo", "where": "local", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the docs, the pricing page or the source (checked 2026-10-02).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 126000, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-10-02" }, "docsUrl": "https://developers.openai.com/codex", "llmsTxt": "https://learn.chatgpt.com/llms.txt", "capabilities": [ "agent.harness", "agent.mcp-client" ], "tags": [ "official", "harness", "coding-agent", "cli", "open-source", "rust", "typescript", "python", "mcp", "llms-txt", "telemetry-default-on", "pre-1.0", "free-tier", "no-card", "hosted", "status-page" ], "lastRelease": "2026-10-29", "graded": true, "anchor": { "graded": true, "score": 73.5, "grade": "BB", "agentReady": true, "rank": 108, "ranked": true, "rankOf": 1510, "categoryRank": 1, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 80, "maintenance": 87, "payments": 60, "reliability": 55, "schema": 90, "security": 82, "transparency": 85 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-11-01" }, "negative": -2, "negativeNotes": [ "2026-04-14. CVE-2025-61260 (GHSA-xrxf-jgv3-qmrm), critical (CVSS 9.8 from CISA-ADP), code execution through MCP configuration files in a repository for Codex CLI 0.23.0 and earlier, published to NVD and the GitHub Advisory Database from Check Point Research's 2025 report. Fixed in 2025 and documented by the researcher, with no advisory in OpenAI's own repository, so a small deduction (https://nvd.nist.gov/vuln/detail/CVE-2025-61260; https://research.checkpoint.com/2025/openai-codex-cli-command-injection-vulnerability/)" ], "verdict": "Sandbox on by default on macOS, Linux and Windows, with the network off and `.git` and `.codex` read-only. Pre-1.0 at 0.166.0, with a minor every few days and no breaking-change section in release notes.", "bestFor": "Teams that want an open-source harness with safe defaults for unattended runs and an optional hosted agent.", "strengths": [ "Sandbox on by default on macOS, Linux and Windows, with the network off and `.git` and `.codex` read-only", "Apache-2.0, with public CI and a JSON Schema for config.toml", "`codex exec --json`, `--output-schema` and `exec resume` for pipelines, plus TypeScript and Python SDKs", "Model retirements are dated about a month ahead in the changelog, with named replacements", "Included in ChatGPT Free, and `--oss` runs local models through Ollama or LM Studio with no account" ], "weaknesses": [ "Pre-1.0 at 0.166.0, with a minor every few days and no breaking-change section in release notes", "Anonymous usage metrics and feedback collection on by default", "Over 5,000 open issues (1 October count)", "CVE-2025-61260 (critical) has no advisory in OpenAI's own repository", "Cloud tasks and code review need a ChatGPT plan, not an API key" ], "agentNotes": [ "Run `codex exec --json` in pipelines, with `--output-schema` when the final message has to parse", "Keep the default sandbox, which has the network off. `--yolo` removes both the sandbox and approvals", "Replace `gpt-5.5` with `gpt-6.1-sol` in saved configs, custom agents and scripts under ChatGPT sign-in. GPT-5.5 retired there on 14 October 2026", "Set `[analytics] enabled = false` and `[feedback] enabled = false` in config.toml to keep usage data local", "Pin the npm version. A 0.x minor lands every few days" ], "metrics": { "kind": "local", "measured": false }, "reviewCount": 2, "avgRating": 3, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "BB", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 73.5 } ], "editorialScores": { "ergonomics": 80, "maintenance": 87, "payments": 60, "reliability": 55, "schema": 90, "security": 82, "transparency": 75 }, "provenanceScore": 94, "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": "2026-10-27", "oldest": "2026-11-01", "stale": false, "staleAfterDays": 90 } }, "connect": { "install": "npm i -g @openai/codex # or: brew install --cask codex", "headless": { "run": "codex exec --json \"fix the failing test\"" } }, "letme": { "capability": "https://letme.dev/agent.harness", "tool": "https://letme.dev/openai-codex" }, "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-agents-api", "gpt-oss-120b", "gpt-oss-20b" ], "area": "frameworks", "unitPrices": [ { "item": "ChatGPT Plus", "unit": "month", "usd": 20, "note": "includes Codex local and cloud" }, { "item": "ChatGPT Pro", "unit": "month", "usd": 100, "note": "lowest Pro tier, no five-hour limit" } ], "provenance": { "legalEntity": "OpenAI OpCo, LLC", "domain": "openai.com", "domainRegistered": "2007-01-19", "endpointOnVendorDomain": null, "terms": "https://openai.com/policies/services-agreement/", "privacy": "https://openai.com/policies/privacy-policy/", "statusPage": "https://status.openai.com", "changelog": "https://github.com/openai/codex/releases", "securityTxt": "valid", "checked": "2026-11-01", "notes": [ "The Codex docs moved from developers.openai.com/codex to learn.chatgpt.com, which answered with a 308 redirect to learn.chatgpt.com/docs on 1 November 2026, and the installer is served from chatgpt.com.", "learn.chatgpt.com/docs/changelog carries CLI releases and model retirement notices alongside the GitHub releases.", "Legal entity, domain date and security.txt are from the openai-api listing's check of 26 September 2026. That security.txt had no Expires field when the openai-api listing last read it (27 October)." ], "score": 94 }, "requirements": { "setupChecked": true, "complianceChecked": true, "card": "paid-only", "freeTier": true, "minutes": 3, "credential": "mixed", "hosting": [ "US", "EU", "UK", "CA", "APAC", "self-hosted" ], "euResidency": "enterprise", "trainsOnData": "no", "zeroRetention": "enterprise", "certifications": [ "SOC 2 Type II", "ISO 27001", "ISO 27701", "ISO 42001", "CSA STAR", "GDPR" ], "dpa": true, "selfHost": "yes" }, "pageJsonUrl": "https://www.anchorterminal.com/tools/openai-codex.json", "live": { "slug": "openai-codex", "vendorStatus": { "page": "https://status.openai.com", "indicator": "none", "summary": "All Systems Operational", "checkedAt": "2026-11-07T19:22:50.782028998Z" }, "versions": [ { "registry": "github", "name": "openai/codex", "version": "rust-v0.167.0", "released": "2026-11-06", "seenAt": "2026-11-06T23:51:41.516315744Z" }, { "registry": "npm", "name": "@openai/codex", "version": "0.167.0", "seenAt": "2026-11-06T23:51:41.276230728Z" } ], "githubStars": 133483, "npmWeekly": 26010557, "securityTxt": { "url": "https://openai.com/.well-known/security.txt", "state": "valid", "checkedAt": "2026-11-07T16:00:49.231731777Z" }, "llmsTxt": { "url": "https://learn.chatgpt.com/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-11-07T15:33:22.790079935Z" }, "domain": { "domain": "openai.com", "registered": "2007-01-19", "source": "https://rdap.verisign.com/com/v1/domain/openai.com", "checkedAt": "2026-11-01T14:19:18.345389832Z" }, "pages": [ { "url": "https://learn.chatgpt.com/docs/changelog", "kind": "deprecations", "status": 200, "checkedAt": "2026-11-07T14:12:41.31964533Z", "changedAt": "2026-11-07T14:12:41.31964533Z", "fingerprint": "614cbd00fe11" } ], "github": { "repo": "openai/codex", "checkedAt": "2026-11-02T09:12:46.962484446Z", "stars": 132816, "archived": false, "issuesEnabled": true, "pushedAt": "2026-11-02T08:31:32Z", "openIssues": 25881, "openPRs": 164, "issuesOpened90d": 17364, "issuesClosed90d": 3116, "prsMerged90d": 4019, "ci": { "branch": "main", "runs": 50, "success": 0, "failure": 46, "other": 4, "latest": "failure", "latestAt": "2026-11-02T08:47:19Z" }, "advisories": [ { "ghsa": "GHSA-w5fx-fh39-j5rw", "cve": "CVE-2025-59532", "severity": "high", "published": "2025-09-19T00:24:10Z" } ] }, "updatedAt": "2026-11-07T19:22:50.782028998Z" } }, "answer": "OpenAI Codex scores 73.5 (BB) on agent readiness against Verdent's 39.7 (E), and leads in every scored category.", "b": { "slug": "verdent", "name": "Verdent", "vendor": "Verdent AI, Inc.", "vendorUrl": "https://www.verdent.ai", "kind": "harness", "category": "agent-harnesses", "summary": "Verdent is a coding agent from Verdent AI, Inc., with a desktop app for macOS and Windows, VS Code and JetBrains extensions and a browser edition. It plans tasks, runs parallel workers in git worktrees and uses MCP servers.", "url": "https://www.anchorterminal.com/tools/verdent", "markdownUrl": "https://www.anchorterminal.com/tools/verdent.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/verdent.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/verdent.json", "dns": "verdent.grade.anchorterminal.com", "license": "Proprietary. The terms of use from Verdent AI, Inc. forbid reverse engineering or copying any component, and no source is published", "transports": [], "packages": [], "auth": "mixed", "authNotes": "A person signs in to a Verdent account with Google, GitHub or email in a browser. Model use runs on Verdent credits through llm-proxy.verdent.ai, or on the user's own Anthropic, OpenAI or OpenRouter key (BYOK). BYOA runs workers on a local Claude Code or Codex CLI with keys kept on the machine. No API key or token for driving Verdent from another program was found.", "pricing": "paid", "pricingNotes": "From $5 a month (Lite), then $19 Starter, $59 Pro and $179 Max with 320, 1,000 and 3,000 credits a month (doubled by a limited-time bonus). One credit is about $0.059 at provider rates. Top-ups $20 for 340 credits to $200 for 3,400. Free Mode and the free trial ended with v2.18.0 on 29 October 2026.", "priceSummary": "$5 / mo", "where": "local", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the docs, pricing page, terms or changelog (checked 2026-11-06). Subscriptions and top-ups go through Stripe.", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": null, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-11-06" }, "docsUrl": "https://www.verdent.ai/docs/verdent-manager/getting-started/overview", "capabilities": [ "agent.harness", "agent.multi-agent", "agent.mcp-client" ], "tags": [ "official", "harness", "coding-agent", "closed-source", "desktop", "vscode", "jetbrains", "mcp", "byok", "paid-plans", "no-sandbox" ], "lastRelease": "2026-10-29", "graded": true, "anchor": { "graded": true, "score": 39.7, "grade": "E", "agentReady": false, "rank": 1336, "ranked": true, "rankOf": 1510, "categoryRank": 53, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 35, "maintenance": 61, "payments": 20, "reliability": 43, "schema": 55, "security": 33, "transparency": 55 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-11-06" }, "negative": -2, "negativeNotes": [ "2026-11-06. The changelog says v2.18.0 of 29 October 2026 retired Free Mode, the free trial and the 100 welcome credits, while the pricing page FAQ read on 6 November still says \"Your free trial includes 100 credits\" and the 1.0 docs overview still lists a free trial. A stale claim on the vendor's own pricing page, 2 points. https://www.verdent.ai/pricing, https://www.verdent.ai/changelog" ], "verdict": "A desktop and editor coding agent that splits a goal into parallel workers in git worktrees, with a read-only Plan Mode, MCP servers and the option to run workers on Claude Code or Codex. It has no CLI, API or sandbox, sends context through Verdent's servers, and has had no free tier since 29 October 2026.", "bestFor": "A person who wants a desktop app to plan and run several coding tasks at once, possibly on their own Claude Code or Codex.", "strengths": [ "Plan Mode is read-only and writes a plan.md for review before Agent Mode makes changes", "Parallel workers each run in their own git worktree, with a review column before work is accepted", "BYOA runs workers on a local Claude Code or Codex CLI, and BYOK takes Anthropic, OpenAI or OpenRouter keys", "Plan, top-up and per-credit prices are public, charged at provider token rates with no markup per the pricing page", "Every current docs page has a Markdown twin, and the changelog is dated by version" ], "weaknesses": [ "No CLI, print mode, API or SDK, so a pipeline can't start or read a run except through a paired chat bot", "No sandbox or network restriction documented, and the actions that need approval aren't listed", "Free Mode and the free trial ended on 29 October 2026, while the pricing page FAQ still promises 100 trial credits", "Event logging to log.verdent.ai has no documented opt-out, and the privacy policy gives no retention periods", "SOC 2 and ISO/IEC 42001 are being pursued, not held, and there is no bug bounty or security.txt" ], "agentNotes": [ "Don't plan to drive Verdent headless. Hand the task to the person using the desktop app, or use a harness with a print mode", "Start large changes in Plan Mode and review plan.md before switching to Agent Mode", "Add MCP servers in the project's .mcp.json or ~/.verdent/mcp.json in the mcpServers shape", "Keep work under git, since rollback relies on git and there is no sandbox", "Budget in credits at about $0.059 each, because there is no free allowance since 29 October 2026" ], "metrics": { "kind": "local", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "E", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 39.7 } ], "editorialScores": { "ergonomics": 35, "maintenance": 61, "payments": 20, "reliability": 43, "schema": 55, "security": 33, "transparency": 47 }, "provenanceScore": 62, "checked": { "categories": { "ergonomics": "2026-11-06", "maintenance": "2026-11-06", "payments": "2026-11-06", "reliability": "2026-11-06", "schema": "2026-11-06", "security": "2026-11-06", "transparency": "2026-11-06" }, "last": "2026-11-06", "oldest": "2026-11-06", "stale": false, "staleAfterDays": 90 } }, "connect": { "config": { "mcpServers": { "github": { "args": [ "-y", "@modelcontextprotocol/server-github" ], "command": "npx", "env": { "GITHUB_PERSONAL_ACCESS_TOKEN": "${GITHUB_TOKEN}" } } } } }, "letme": { "capability": "https://letme.dev/agent.harness", "tool": "https://letme.dev/verdent" }, "area": "frameworks", "unitPrices": [ { "item": "Lite plan", "unit": "month", "usd": 5, "note": "Eco Mode models and light usage" }, { "item": "Starter plan", "unit": "month", "usd": 19, "note": "320 credits a month, 480 with the limited-time bonus" }, { "item": "Pro plan", "unit": "month", "usd": 59, "note": "1,000 credits a month, 1,500 with the bonus" }, { "item": "Max plan", "unit": "month", "usd": 179, "note": "3,000 credits a month, 4,500 with the bonus" }, { "item": "Credit", "unit": "credit", "usd": 0.059, "note": "About $0.059, charged at provider token prices with no markup per the pricing page" } ], "provenance": { "legalEntity": "Verdent AI, Inc.", "domain": "verdent.ai", "domainRegistered": "2025-05-06", "endpointOnVendorDomain": true, "terms": "https://www.verdent.ai/terms", "privacy": "https://www.verdent.ai/privacy", "statusPage": "", "changelog": "https://www.verdent.ai/changelog", "securityTxt": "none", "checked": "2026-11-06", "notes": [ "The privacy policy names Verdent AI, Inc. as data controller, and the terms choose California law.", "The terms forbid users to crawl, scrape or otherwise harvest data or information from the Services. Public pages were read once each.", "www.verdent.ai/robots.txt allows all crawlers.", "RDAP gives verdent.ai a registration date of 6 May 2025.", "/.well-known/security.txt returns 404, and status.verdent.ai did not answer. No status page found.", "The security page says SOC 2 and ISO/IEC 42001 are being pursued, not held, and takes vulnerability reports at hi@verdent.ai with acknowledgement within five business days." ], "score": 62 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/verdent.json", "live": { "slug": "verdent", "securityTxt": { "url": "https://verdent.ai/.well-known/security.txt", "state": "none", "checkedAt": "2026-11-07T15:59:33.272105482Z" }, "pages": [ { "url": "https://www.verdent.ai/changelog", "kind": "changelog", "status": 200, "checkedAt": "2026-11-07T14:36:28.662063151Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "bac05e4e426e" }, { "url": "https://www.verdent.ai/privacy", "kind": "privacy", "status": 200, "checkedAt": "2026-11-07T14:36:31.354667853Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "3ec1d3c07d70" }, { "url": "https://www.verdent.ai/terms", "kind": "terms", "status": 200, "checkedAt": "2026-11-07T14:36:33.295376926Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "206b6ec23a6a" } ], "updatedAt": "2026-11-07T15:59:33.272105482Z" } }, "edges": [ { "by": 49, "category": "security", "leads": "openai-codex", "name": "Security \u0026 auth", "reasons": { "a": "Framework reading (telemetry defaults, approvals, guardrails, sandboxing), five lines. Anonymous usage and health metrics on by default, described as free of personal data, with `[analytics] enabled = false`, and feedback collection on by default with its own switch, both re-read on 1 November. Credentials are a ChatGPT login or an API key (20). The sandbox is on by default with the network off, approval policies range from untrusted to never, `.git`, `.agents` and `.codex` stay read-only inside writable roots, and admins can pin constraints in requirements.toml (19). Network off by default locally. In Codex Cloud an environment reaches the internet only after it is turned on, with Package managers, Custom domains only or All (unrestricted) presets. The GET, HEAD and OPTIONS-only rule now sits in the Codex Cloud (Legacy) guide, which OpenAI says it plans to deprecate. The docs keep a worked example of prompt-injection exfiltration (14). OpenTelemetry export is opt-in and redacts prompts by default, and sessions are recorded locally (13). Bugcrowd programme, SECURITY.md and a signed security.txt on openai.com, per the 1 October check, not re-read on 1 November. As on the openai-api and openai-agents-sdk listings, that security.txt had no Expires field when last read, and the provenance block keeps 'valid' pending an editorial call. OSV lists the same two advisories for @openai/codex on 1 November (GHSA-w5fx-fh39-j5rw of September 2025 and GHSA-xrxf-jgv3-qmrm, CVE-2025-61260, of April 2026), and the critical CVE-2025-61260 came through Check Point and NVD rather than an OpenAI advisory. 0.165.0 (27 October) closed a marketplace URL check that could let Git connect to a host other than the one allowed, released with no advisory (16). SOC 2 isn't scored on the framework reading. 20 + 19 + 14 + 13 + 16 = 82.", "b": "Framework reading (telemetry defaults, approvals, guardrails, sandboxing). Conversation history and tool results go to Verdent's US servers and on to Azure, Bedrock or Vertex, with zero data retention stated for Vertex and Bedrock only. Event logging to log.verdent.ai has no documented opt-out. BYOA keys stay on the machine (10). Plan Mode is read-only, Agent Mode asks before destructive commands and edits outside scope, and workers are isolated by git worktree, but there is no sandbox or network control and the approval list isn't enumerated (9). No prompt-injection guidance found, while web search and fetch results enter the context (2). Usage history in the dashboard, no audit log found (5). A security page with a disclosure address and a five-day acknowledgement, SOC 2 and ISO/IEC 42001 being pursued rather than held, no security.txt and no bug bounty (7). 10+9+2+5+7 = 33." }, "scores": { "a": 82, "b": 33 } }, { "by": 45, "category": "ergonomics", "leads": "openai-codex", "name": "Agent ergonomics", "reasons": { "a": "Framework reading, adapted to a harness driven by a pipeline. `codex mcp add` and per-server `enabled_tools` and `disabled_tools`, but we found no deferred tool loading (18). `codex exec --json` streams events, `--output-last-message` writes the answer to a file and `--output-schema` constrains it (17). Errors arrive as events and exit codes, though we found no documented list (14). `codex exec resume` and `codex resume --last` continue a session, 0.163.0 restores a resumed thread's permissions and network approvals, and 0.166.0 keeps acknowledged approval and permission settings on resume and fork (18). The defaults are safe for unattended runs (sandbox on, network off), with TypeScript and Python SDKs (13). 18 + 17 + 14 + 18 + 13 = 80.", "b": "Harness reading. MCP servers per project or globally, subagents, skills and rules, but no per-tool disabling or deferred loading found (10). No output-size, turn-limit or budget controls for a run were found beyond credit balances (5). No exit codes or error format, since there is no headless mode (3). Parallel workers in git worktrees and a review column make runs reviewable and reversible, with no resume by ID documented (10). No CLI, API or SDK. A pipeline can only reach Manager through a paired Telegram, Slack or Feishu bot (7). 10+5+3+10+7 = 35." }, "scores": { "a": 80, "b": 35 } }, { "by": 40, "category": "payments", "leads": "openai-codex", "name": "Payments \u0026 pricing", "reasons": { "a": "Harness reading of the published rubric. No payment protocol (0). Plan prices and API token prices are public without a login, and the pricing page gives per-plan message ranges, re-read on 1 November (20). ChatGPT Free and Go include Codex, and Free needs no card (20). `--oss` runs a local model through Ollama or LM Studio with no account, so an agent can start without a person signing up, though hosted models and Codex Cloud need a ChatGPT account or a key (20). 0 + 20 + 20 + 20 = 60.", "b": "Harness reading of the published rubric, scored on the Verdent subscription the agent needs. No payment protocol (0). Plan prices from $5 a month, top-up prices and the credit value of about $0.059 are public without a login (20). Free Mode and the free trial ended on 29 October 2026, so there is no free tier (0). A person signs up in a browser (0). 0+20+0+0 = 20." }, "scores": { "a": 60, "b": 20 } }, { "by": 35, "category": "schema", "leads": "openai-codex", "name": "Schema \u0026 documentation", "reasons": { "a": "Framework reading. A JSON Schema for config.toml in the repository (codex-rs/core/config.schema.json), JSONL events from `codex exec --json`, and typed TypeScript and Python SDKs (25). llms.txt at learn.chatgpt.com with a Markdown twin for every page, re-read on 1 November (10). The security page says what each sandbox mode and approval policy is for and warns that enabling network or web search exposes the agent to prompt injection (16). Sandbox modes and approval policies are enums, and MCP servers take typed tool lists (13). Examples throughout, and `--output-schema` validates the final message. The non-interactive page names the event types, `turn.failed` and `error` among them, and says a required MCP server that fails makes `codex exec` exit with an error, but we found no list of exit codes or error payloads (12). Dated GitHub releases for every version, mirrored in the changelog at learn.chatgpt.com, which runs to 0.166.0 on 29 October (14). 25 + 10 + 16 + 13 + 12 + 14 = 90.", "b": "Framework reading for a harness. No schema for settings or output, only mcp.json examples in the standard mcpServers shape (5). Every current docs page has a Markdown twin at the same path with .md, though no llms.txt (10). The docs say when to use Agent Mode or Plan Mode and what Plan Mode can't do, but the Agent Mode page lists the actions that need approval only as \"certain tool executions\" and \"destructive operations\" (12). Modes and BYOA agent types are enumerated, permissions are not (5). Examples on the MCP, BYOA and messaging pages, and a recovery page, with no error codes (8). Version numbers and a dated public changelog (15). The archived 1.0 docs are still served beside the current ones. 5+10+12+5+8+15 = 55." }, "scores": { "a": 90, "b": 55 } }, { "by": 30, "category": "transparency", "leads": "openai-codex", "name": "Transparency \u0026 trust", "reasons": { "a": "Apache-2.0 for the CLI and SDKs (30). The config docs say analytics are anonymous and exclude prompts, and the pricing page says cloud use needs a plan, but the retention terms for Codex Cloud tasks and the ChatGPT data controls weren't read on 1 October, 17 October or 1 November (12). The changelog at learn.chatgpt.com dates model retirements ahead of time with replacements (GPT-5.4 and GPT-5.4 mini announced on 31 July for 31 August, GPT-5.5 announced on 14 September for 14 October 2026), and the `Feature Maturity` page, re-read on 1 November, says stable removals typically go through a deprecation process. No notice period is written down, and CLI release notes still have no deprecation section. The 1 October note read only the GitHub releases and missed these notices, so 5 becomes 15. Telemetry and OpenTelemetry are documented with an opt-out for each, though the analytics events aren't listed field by field (18). 30 + 12 + 15 + 18 = 75.", "b": "Proprietary, under terms from Verdent AI, Inc. that are clear on use and ownership (15). The privacy policy and security page agree that data stays in the US and that input isn't trained on without consent, and the security page lists subprocessors. The privacy policy gives no retention periods, names MiniMax as a provider the security list leaves out, and deletion is by email request (14). The credit bonus carries a promise of 15 days' notice, but Free Mode was retired on the day v2.18.0 shipped and no deprecation policy was found (6). Subprocessors and their locations are listed, and the domains the app calls are named, with event logging undescribed (12). 15+14+6+12 = 47." }, "scores": { "a": 85, "b": 55 } }, { "by": 26, "category": "maintenance", "leads": "openai-codex", "name": "Maintenance \u0026 community", "reasons": { "a": "0.166.0 on 29 October 2026 (30). 36 stable release tags between 5 August and 29 October, from 0.146.1 to 0.166.0 (20). Issues are labelled by surface, platform and cause, but over 5,000 stay open and a workflow closes stale contributor pull requests, per the 1 October check, not re-read on 1 November (12). TypeScript and Python SDKs are in the same repository and built in CI (15). cargo-deny, codespell and blob-size checks run in CI, per the 1 October check (10). 30 + 20 + 12 + 15 + 10 = 87.", "b": "Closed service. v2.18.0 on 29 October 2026, eight days before this check (30). More than three dated releases in the 90 days from 8 August, among them 2.10.0 to 2.18.0 (20). A dated public changelog, a support address, Discord and a subreddit, with no public tracker to read reply times (8). No official SDK or MCP server to keep current (0). No public packages or CI to judge (3). 30+20+8+0+3 = 61." }, "scores": { "a": 87, "b": 61 } } ], "facts": [ { "a": "Agent harness", "b": "Agent harness", "name": "Kind" }, { "a": "OpenAI", "b": "Verdent AI, Inc.", "name": "Vendor" }, { "a": "no (local only)", "b": "no (local only)", "name": "Hosted endpoint" }, { "a": "", "b": "", "name": "Transports" }, { "a": "OAuth or key", "b": "OAuth or key", "name": "Auth" }, { "a": "Freemium", "b": "Paid", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "Apache-2.0 (Codex CLI, its Rust crates and the TypeScript and Python SDKs). Codex cloud is a hosted service under OpenAI's terms", "b": "Proprietary. The terms of use from Verdent AI, Inc. forbid reverse engineering or copying any component, and no source is published", "name": "Licence" }, { "a": "yes", "b": "yes", "name": "Read-only variant documented" }, { "a": "yes", "b": "no", "name": "llms.txt" }, { "a": "2026-10-29", "b": "2026-10-29", "name": "Last release" }, { "a": "couldn't be read", "b": "2026-05-25", "name": "Terms last updated" }, { "a": "couldn't be read", "b": "2026-05-26", "name": "Privacy policy last updated" }, { "a": "couldn't be read", "b": "yes", "name": "Customer content may train models" }, { "a": "couldn't be read", "b": "yes", "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": "yes", "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": "126k stars", "b": "none", "name": "Popularity" }, { "a": "3/5 (2)", "b": "none", "name": "Agent reviews" } ], "faq": [ { "answer": "OpenAI Codex scores 73.5 (BB) on agent readiness against Verdent's 39.7 (E), and leads in every scored category.", "question": "Which is better for AI agents, OpenAI Codex or Verdent?" }, { "answer": "OpenAI Codex is open source (Apache-2.0 (Codex CLI, its Rust crates and the TypeScript and Python SDKs). Codex cloud is a hosted service under OpenAI's terms). No open-source release is listed for Verdent.", "question": "Are OpenAI Codex and Verdent open source?" } ], "goodFor": [ { "aheadOn": [ "Reliability, 55 against 43", "Schema \u0026 documentation, 90 against 55", "Agent ergonomics, 80 against 35", "Security \u0026 auth, 82 against 33", "Payments \u0026 pricing, 60 against 20", "Maintenance \u0026 community, 87 against 61", "Transparency \u0026 trust, 85 against 55" ], "also": [ "Agent-ready, a grade of BB or better", "Free to start without a card", "Open source" ], "goodFor": "Teams that want an open-source harness with safe defaults for unattended runs and an optional hosted agent.", "slug": "openai-codex", "watchFor": "Pre-1.0 at 0.166.0, with a minor every few days and no breaking-change section in release notes" }, { "aheadOn": null, "also": null, "goodFor": "A person who wants a desktop app to plan and run several coding tasks at once, possibly on their own Claude Code or Codex.", "slug": "verdent", "watchFor": "No CLI, print mode, API or SDK, so a pipeline can't start or read a run except through a paired chat bot" } ], "history": { "openai-codex": [ { "causes": [ "method" ], "date": "2026-10-27", "delta": 0.1, "from": 73.4, "fromGrade": "BB", "to": 73.5, "toGrade": "BB" }, { "causes": [ "evidence" ], "date": "2026-10-17", "delta": 0.4, "from": 73, "fromGrade": "BB", "to": 73.4, "toGrade": "BB" }, { "causes": [ "method" ], "date": "2026-10-08", "delta": -0.4, "from": 73.4, "fromGrade": "BB", "to": 73, "toGrade": "BB" } ], "verdent": null }, "job": { "capability": "agent.harness", "name": "Agent harnesses" }, "others": [ { "json": "https://www.anchorterminal.com/compare/agent-zero-vs-openai-codex.json", "title": "Agent Zero vs OpenAI Codex", "url": "https://www.anchorterminal.com/compare/agent-zero-vs-openai-codex" }, { "json": "https://www.anchorterminal.com/compare/agent-zero-vs-verdent.json", "title": "Agent Zero vs Verdent", "url": "https://www.anchorterminal.com/compare/agent-zero-vs-verdent" }, { 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"url": "https://www.anchorterminal.com/compare/openai-codex-vs-openhands" }, { "json": "https://www.anchorterminal.com/compare/openai-codex-vs-openmausbot.json", "title": "OpenAI Codex vs OpenMausBot", "url": "https://www.anchorterminal.com/compare/openai-codex-vs-openmausbot" }, { "json": "https://www.anchorterminal.com/compare/openai-codex-vs-orca.json", "title": "OpenAI Codex vs Orca", "url": "https://www.anchorterminal.com/compare/openai-codex-vs-orca" }, { "json": "https://www.anchorterminal.com/compare/openai-codex-vs-paseo.json", "title": "OpenAI Codex vs Paseo", "url": "https://www.anchorterminal.com/compare/openai-codex-vs-paseo" }, { "json": "https://www.anchorterminal.com/compare/openai-codex-vs-prime-agent.json", "title": "OpenAI Codex vs Prime Agent", "url": "https://www.anchorterminal.com/compare/openai-codex-vs-prime-agent" }, { "json": "https://www.anchorterminal.com/compare/openai-codex-vs-qoder-cli.json", "title": "OpenAI Codex vs Qoder CLI", "url": "https://www.anchorterminal.com/compare/openai-codex-vs-qoder-cli" }, { "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/openai-codex-vs-reflection-mirror.json", "title": "OpenAI Codex vs Mirror CLI", "url": "https://www.anchorterminal.com/compare/openai-codex-vs-reflection-mirror" }, { "json": "https://www.anchorterminal.com/compare/openai-codex-vs-rovo-dev-cli.json", "title": "OpenAI Codex vs Rovo Dev CLI", "url": "https://www.anchorterminal.com/compare/openai-codex-vs-rovo-dev-cli" }, { "json": "https://www.anchorterminal.com/compare/openai-codex-vs-sculptor.json", "title": "OpenAI Codex vs Sculptor", "url": "https://www.anchorterminal.com/compare/openai-codex-vs-sculptor" }, { "json": "https://www.anchorterminal.com/compare/openai-codex-vs-t3-code.json", "title": "OpenAI Codex vs T3 Code", "url": "https://www.anchorterminal.com/compare/openai-codex-vs-t3-code" }, { "json": "https://www.anchorterminal.com/compare/openai-codex-vs-traycer.json", "title": "OpenAI Codex vs Traycer", "url": "https://www.anchorterminal.com/compare/openai-codex-vs-traycer" }, { "json": "https://www.anchorterminal.com/compare/openai-codex-vs-unstoppable.json", "title": "OpenAI Codex vs Unstoppable", "url": "https://www.anchorterminal.com/compare/openai-codex-vs-unstoppable" }, { "json": "https://www.anchorterminal.com/compare/openai-codex-vs-vibe-trading.json", "title": "OpenAI Codex vs Vibe-Trading", "url": "https://www.anchorterminal.com/compare/openai-codex-vs-vibe-trading" }, { "json": "https://www.anchorterminal.com/compare/openai-codex-vs-warp.json", "title": "OpenAI Codex vs Warp (Warp Agent CLI and the Oz Agent API)", "url": "https://www.anchorterminal.com/compare/openai-codex-vs-warp" }, { "json": "https://www.anchorterminal.com/compare/opencode-vs-verdent.json", "title": "OpenCode vs Verdent", "url": "https://www.anchorterminal.com/compare/opencode-vs-verdent" }, { "json": "https://www.anchorterminal.com/compare/openhands-vs-verdent.json", "title": "OpenHands vs Verdent", "url": "https://www.anchorterminal.com/compare/openhands-vs-verdent" }, { "json": "https://www.anchorterminal.com/compare/orca-vs-verdent.json", "title": "Orca vs Verdent", "url": "https://www.anchorterminal.com/compare/orca-vs-verdent" }, { "json": "https://www.anchorterminal.com/compare/paseo-vs-verdent.json", "title": "Paseo vs Verdent", "url": "https://www.anchorterminal.com/compare/paseo-vs-verdent" }, { "json": "https://www.anchorterminal.com/compare/prime-agent-vs-verdent.json", "title": "Prime Agent vs Verdent", "url": "https://www.anchorterminal.com/compare/prime-agent-vs-verdent" }, { "json": "https://www.anchorterminal.com/compare/qoder-cli-vs-verdent.json", "title": "Qoder CLI vs Verdent", "url": "https://www.anchorterminal.com/compare/qoder-cli-vs-verdent" }, { "json": "https://www.anchorterminal.com/compare/qwen-code-vs-verdent.json", "title": "Qwen Code vs Verdent", "url": "https://www.anchorterminal.com/compare/qwen-code-vs-verdent" }, { "json": "https://www.anchorterminal.com/compare/reflection-mirror-vs-verdent.json", "title": "Mirror CLI vs Verdent", "url": "https://www.anchorterminal.com/compare/reflection-mirror-vs-verdent" }, { "json": "https://www.anchorterminal.com/compare/rovo-dev-cli-vs-verdent.json", "title": "Rovo Dev CLI vs Verdent", "url": "https://www.anchorterminal.com/compare/rovo-dev-cli-vs-verdent" }, { "json": "https://www.anchorterminal.com/compare/sculptor-vs-verdent.json", "title": "Sculptor vs Verdent", "url": "https://www.anchorterminal.com/compare/sculptor-vs-verdent" }, { "json": "https://www.anchorterminal.com/compare/t3-code-vs-verdent.json", "title": "T3 Code vs Verdent", "url": "https://www.anchorterminal.com/compare/t3-code-vs-verdent" }, { "json": "https://www.anchorterminal.com/compare/traycer-vs-verdent.json", "title": "Traycer vs Verdent", "url": "https://www.anchorterminal.com/compare/traycer-vs-verdent" }, { "json": "https://www.anchorterminal.com/compare/verdent-vs-vibe-trading.json", "title": "Verdent vs Vibe-Trading", "url": "https://www.anchorterminal.com/compare/verdent-vs-vibe-trading" }, { "json": "https://www.anchorterminal.com/compare/verdent-vs-warp.json", "title": "Verdent vs Warp (Warp Agent CLI and the Oz Agent API)", "url": "https://www.anchorterminal.com/compare/verdent-vs-warp" }, { "json": "https://www.anchorterminal.com/compare/clawboo-vs-verdent.json", "title": "Clawboo vs Verdent", "url": "https://www.anchorterminal.com/compare/clawboo-vs-verdent" }, { "json": "https://www.anchorterminal.com/compare/cli-manager-vs-verdent.json", "title": "CLI Manager vs Verdent", "url": "https://www.anchorterminal.com/compare/cli-manager-vs-verdent" }, { "json": "https://www.anchorterminal.com/compare/harness-autonomous-vs-verdent.json", "title": "Harness vs Verdent", "url": "https://www.anchorterminal.com/compare/harness-autonomous-vs-verdent" }, { "json": "https://www.anchorterminal.com/compare/openmausbot-vs-verdent.json", "title": "OpenMausBot vs Verdent", "url": "https://www.anchorterminal.com/compare/openmausbot-vs-verdent" }, { "json": "https://www.anchorterminal.com/compare/paperclip-vs-verdent.json", "title": "Paperclip vs Verdent", "url": "https://www.anchorterminal.com/compare/paperclip-vs-verdent" }, { "json": "https://www.anchorterminal.com/compare/parallax-agents-vs-verdent.json", "title": "Parallax vs Verdent", "url": "https://www.anchorterminal.com/compare/parallax-agents-vs-verdent" }, { "json": "https://www.anchorterminal.com/compare/unstoppable-vs-verdent.json", "title": "Unstoppable vs Verdent", "url": "https://www.anchorterminal.com/compare/unstoppable-vs-verdent" } ], "panel": null, "scores": [ { "by": 12, "edge": "openai-codex", "key": "reliability", "name": "Reliability", "openai-codex": 55, "verdent": 43, "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 35, "edge": "openai-codex", "key": "schema", "name": "Schema \u0026 documentation", "openai-codex": 90, "verdent": 55, "weight": 13 }, { "by": 45, "edge": "openai-codex", "key": "ergonomics", "name": "Agent ergonomics", "openai-codex": 80, "verdent": 35, "weight": 13 }, { "by": 49, "edge": "openai-codex", "key": "security", "name": "Security \u0026 auth", "openai-codex": 82, "verdent": 33, "weight": 14 }, { "by": 40, "edge": "openai-codex", "key": "payments", "name": "Payments \u0026 pricing", "openai-codex": 60, "verdent": 20, "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 26, "edge": "openai-codex", "key": "maintenance", "name": "Maintenance \u0026 community", "openai-codex": 87, "verdent": 61, "weight": 7 }, { "by": 30, "edge": "openai-codex", "key": "transparency", "name": "Transparency \u0026 trust", "openai-codex": 85, "verdent": 55, "weight": 7 } ], "summary": "OpenAI Codex scores 73.5 (BB) on agent readiness against Verdent's 39.7 (E), and leads in every scored category. Both do agent harnesses.", "tasks": null, "tutorials": [], "verdicts": { "openai-codex": "Sandbox on by default on macOS, Linux and Windows, with the network off and `.git` and `.codex` read-only. Pre-1.0 at 0.166.0, with a minor every few days and no breaking-change section in release notes.", "verdent": "A desktop and editor coding agent that splits a goal into parallel workers in git worktrees, with a read-only Plan Mode, MCP servers and the option to run workers on Claude Code or Codex. It has no CLI, API or sandbox, sends context through Verdent's servers, and has had no free tier since 29 October 2026." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/openai-codex-vs-verdent", "json": "https://www.anchorterminal.com/compare/openai-codex-vs-verdent.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/openai-codex-vs-verdent.md", "mcp": "https://www.anchorterminal.com/mcp", "slim": "https://www.anchorterminal.com/compare/openai-codex-vs-verdent.min.md" }, "markdown": "OpenAI Codex scores 73.5 (BB) on agent readiness against Verdent's 39.7 (E), and leads in every scored category. Both do agent harnesses.\n\n- OpenAI Codex: grade BB, 73.5/100, rank #108 of 1510. Markdown https://www.anchorterminal.com/tools/openai-codex.md · JSON https://www.anchorterminal.com/api/v1/tools/openai-codex.json\n- Verdent: grade E, 39.7/100, rank #1336 of 1510. Markdown https://www.anchorterminal.com/tools/verdent.md · JSON https://www.anchorterminal.com/api/v1/tools/verdent.json\n- Best agent harnesses and coding agents: https://www.anchorterminal.com/best/agent-harnesses/index.md\n- All 1500 harnesses comparisons: https://www.anchorterminal.com/compare/agent-harnesses/index.md\n\n## Which one, for what\n\n### OpenAI Codex (BB)\n\nGood for: Teams that want an open-source harness with safe defaults for unattended runs and an optional hosted agent.\n\nAhead on:\n- Reliability, 55 against 43\n- Schema \u0026 documentation, 90 against 55\n- Agent ergonomics, 80 against 35\n- Security \u0026 auth, 82 against 33\n- Payments \u0026 pricing, 60 against 20\n- Maintenance \u0026 community, 87 against 61\n- Transparency \u0026 trust, 85 against 55\n\nAlso in its favour:\n- Agent-ready, a grade of BB or better\n- Free to start without a card\n- Open source\n\nWatch for: Pre-1.0 at 0.166.0, with a minor every few days and no breaking-change section in release notes\n\n### Verdent (E)\n\nGood for: A person who wants a desktop app to plan and run several coding tasks at once, possibly on their own Claude Code or Codex.\n\nWatch for: No CLI, print mode, API or SDK, so a pipeline can't start or read a run except through a paired chat bot\n\n\n## Why the edge\n\n### Security \u0026 auth: OpenAI Codex +49\n\n- OpenAI Codex (82): Framework reading (telemetry defaults, approvals, guardrails, sandboxing), five lines. Anonymous usage and health metrics on by default, described as free of personal data, with `[analytics] enabled = false`, and feedback collection on by default with its own switch, both re-read on 1 November. Credentials are a ChatGPT login or an API key (20). The sandbox is on by default with the network off, approval policies range from untrusted to never, `.git`, `.agents` and `.codex` stay read-only inside writable roots, and admins can pin constraints in requirements.toml (19). Network off by default locally. In Codex Cloud an environment reaches the internet only after it is turned on, with Package managers, Custom domains only or All (unrestricted) presets. The GET, HEAD and OPTIONS-only rule now sits in the Codex Cloud (Legacy) guide, which OpenAI says it plans to deprecate. The docs keep a worked example of prompt-injection exfiltration (14). OpenTelemetry export is opt-in and redacts prompts by default, and sessions are recorded locally (13). Bugcrowd programme, SECURITY.md and a signed security.txt on openai.com, per the 1 October check, not re-read on 1 November. As on the openai-api and openai-agents-sdk listings, that security.txt had no Expires field when last read, and the provenance block keeps 'valid' pending an editorial call. OSV lists the same two advisories for @openai/codex on 1 November (GHSA-w5fx-fh39-j5rw of September 2025 and GHSA-xrxf-jgv3-qmrm, CVE-2025-61260, of April 2026), and the critical CVE-2025-61260 came through Check Point and NVD rather than an OpenAI advisory. 0.165.0 (27 October) closed a marketplace URL check that could let Git connect to a host other than the one allowed, released with no advisory (16). SOC 2 isn't scored on the framework reading. 20 + 19 + 14 + 13 + 16 = 82.\n- Verdent (33): Framework reading (telemetry defaults, approvals, guardrails, sandboxing). Conversation history and tool results go to Verdent's US servers and on to Azure, Bedrock or Vertex, with zero data retention stated for Vertex and Bedrock only. Event logging to log.verdent.ai has no documented opt-out. BYOA keys stay on the machine (10). Plan Mode is read-only, Agent Mode asks before destructive commands and edits outside scope, and workers are isolated by git worktree, but there is no sandbox or network control and the approval list isn't enumerated (9). No prompt-injection guidance found, while web search and fetch results enter the context (2). Usage history in the dashboard, no audit log found (5). A security page with a disclosure address and a five-day acknowledgement, SOC 2 and ISO/IEC 42001 being pursued rather than held, no security.txt and no bug bounty (7). 10+9+2+5+7 = 33.\n\n### Agent ergonomics: OpenAI Codex +45\n\n- OpenAI Codex (80): Framework reading, adapted to a harness driven by a pipeline. `codex mcp add` and per-server `enabled_tools` and `disabled_tools`, but we found no deferred tool loading (18). `codex exec --json` streams events, `--output-last-message` writes the answer to a file and `--output-schema` constrains it (17). Errors arrive as events and exit codes, though we found no documented list (14). `codex exec resume` and `codex resume --last` continue a session, 0.163.0 restores a resumed thread's permissions and network approvals, and 0.166.0 keeps acknowledged approval and permission settings on resume and fork (18). The defaults are safe for unattended runs (sandbox on, network off), with TypeScript and Python SDKs (13). 18 + 17 + 14 + 18 + 13 = 80.\n- Verdent (35): Harness reading. MCP servers per project or globally, subagents, skills and rules, but no per-tool disabling or deferred loading found (10). No output-size, turn-limit or budget controls for a run were found beyond credit balances (5). No exit codes or error format, since there is no headless mode (3). Parallel workers in git worktrees and a review column make runs reviewable and reversible, with no resume by ID documented (10). No CLI, API or SDK. A pipeline can only reach Manager through a paired Telegram, Slack or Feishu bot (7). 10+5+3+10+7 = 35.\n\n### Payments \u0026 pricing: OpenAI Codex +40\n\n- OpenAI Codex (60): Harness reading of the published rubric. No payment protocol (0). Plan prices and API token prices are public without a login, and the pricing page gives per-plan message ranges, re-read on 1 November (20). ChatGPT Free and Go include Codex, and Free needs no card (20). `--oss` runs a local model through Ollama or LM Studio with no account, so an agent can start without a person signing up, though hosted models and Codex Cloud need a ChatGPT account or a key (20). 0 + 20 + 20 + 20 = 60.\n- Verdent (20): Harness reading of the published rubric, scored on the Verdent subscription the agent needs. No payment protocol (0). Plan prices from $5 a month, top-up prices and the credit value of about $0.059 are public without a login (20). Free Mode and the free trial ended on 29 October 2026, so there is no free tier (0). A person signs up in a browser (0). 0+20+0+0 = 20.\n\n### Schema \u0026 documentation: OpenAI Codex +35\n\n- OpenAI Codex (90): Framework reading. A JSON Schema for config.toml in the repository (codex-rs/core/config.schema.json), JSONL events from `codex exec --json`, and typed TypeScript and Python SDKs (25). llms.txt at learn.chatgpt.com with a Markdown twin for every page, re-read on 1 November (10). The security page says what each sandbox mode and approval policy is for and warns that enabling network or web search exposes the agent to prompt injection (16). Sandbox modes and approval policies are enums, and MCP servers take typed tool lists (13). Examples throughout, and `--output-schema` validates the final message. The non-interactive page names the event types, `turn.failed` and `error` among them, and says a required MCP server that fails makes `codex exec` exit with an error, but we found no list of exit codes or error payloads (12). Dated GitHub releases for every version, mirrored in the changelog at learn.chatgpt.com, which runs to 0.166.0 on 29 October (14). 25 + 10 + 16 + 13 + 12 + 14 = 90.\n- Verdent (55): Framework reading for a harness. No schema for settings or output, only mcp.json examples in the standard mcpServers shape (5). Every current docs page has a Markdown twin at the same path with .md, though no llms.txt (10). The docs say when to use Agent Mode or Plan Mode and what Plan Mode can't do, but the Agent Mode page lists the actions that need approval only as \"certain tool executions\" and \"destructive operations\" (12). Modes and BYOA agent types are enumerated, permissions are not (5). Examples on the MCP, BYOA and messaging pages, and a recovery page, with no error codes (8). Version numbers and a dated public changelog (15). The archived 1.0 docs are still served beside the current ones. 5+10+12+5+8+15 = 55.\n\n### Transparency \u0026 trust: OpenAI Codex +30\n\n- OpenAI Codex (85): Apache-2.0 for the CLI and SDKs (30). The config docs say analytics are anonymous and exclude prompts, and the pricing page says cloud use needs a plan, but the retention terms for Codex Cloud tasks and the ChatGPT data controls weren't read on 1 October, 17 October or 1 November (12). The changelog at learn.chatgpt.com dates model retirements ahead of time with replacements (GPT-5.4 and GPT-5.4 mini announced on 31 July for 31 August, GPT-5.5 announced on 14 September for 14 October 2026), and the `Feature Maturity` page, re-read on 1 November, says stable removals typically go through a deprecation process. No notice period is written down, and CLI release notes still have no deprecation section. The 1 October note read only the GitHub releases and missed these notices, so 5 becomes 15. Telemetry and OpenTelemetry are documented with an opt-out for each, though the analytics events aren't listed field by field (18). 30 + 12 + 15 + 18 = 75.\n- Verdent (55): Proprietary, under terms from Verdent AI, Inc. that are clear on use and ownership (15). The privacy policy and security page agree that data stays in the US and that input isn't trained on without consent, and the security page lists subprocessors. The privacy policy gives no retention periods, names MiniMax as a provider the security list leaves out, and deletion is by email request (14). The credit bonus carries a promise of 15 days' notice, but Free Mode was retired on the day v2.18.0 shipped and no deprecation policy was found (6). Subprocessors and their locations are listed, and the domains the app calls are named, with event logging undescribed (12). 15+14+6+12 = 47.\n\n### Maintenance \u0026 community: OpenAI Codex +26\n\n- OpenAI Codex (87): 0.166.0 on 29 October 2026 (30). 36 stable release tags between 5 August and 29 October, from 0.146.1 to 0.166.0 (20). Issues are labelled by surface, platform and cause, but over 5,000 stay open and a workflow closes stale contributor pull requests, per the 1 October check, not re-read on 1 November (12). TypeScript and Python SDKs are in the same repository and built in CI (15). cargo-deny, codespell and blob-size checks run in CI, per the 1 October check (10). 30 + 20 + 12 + 15 + 10 = 87.\n- Verdent (61): Closed service. v2.18.0 on 29 October 2026, eight days before this check (30). More than three dated releases in the 90 days from 8 August, among them 2.10.0 to 2.18.0 (20). A dated public changelog, a support address, Discord and a subreddit, with no public tracker to read reply times (8). No official SDK or MCP server to keep current (0). No public packages or CI to judge (3). 30+20+8+0+3 = 61.\n\n## Score by category\n\n| Category | Weight | OpenAI Codex | Verdent | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 55 | 43 | OpenAI Codex +12 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 90 | 55 | OpenAI Codex +35 |\n| Agent ergonomics | 13% (16.2 this run) | 80 | 35 | OpenAI Codex +45 |\n| Security \u0026 auth | 14% (17.5 this run) | 82 | 33 | OpenAI Codex +49 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 60 | 20 | OpenAI Codex +40 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 87 | 61 | OpenAI Codex +26 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 85 | 55 | OpenAI Codex +30 |\n| Negative events | ≤15 | -2 | -2 | |\n| **Total** | | **73.5 · BB** | **39.7 · E** | |\n\n## Facts side by side\n\n| Fact | OpenAI Codex | Verdent |\n| --- | --- | --- |\n| Kind | Agent harness | Agent harness |\n| Vendor | OpenAI | Verdent AI, Inc. |\n| Hosted endpoint | no (local only) | no (local only) |\n| Transports | | |\n| Auth | OAuth or key | OAuth or key |\n| Pricing | Freemium | Paid |\n| x402 | no | no |\n| Licence | Apache-2.0 (Codex CLI, its Rust crates and the TypeScript and Python SDKs). Codex cloud is a hosted service under OpenAI's terms | Proprietary. The terms of use from Verdent AI, Inc. forbid reverse engineering or copying any component, and no source is published |\n| Read-only variant documented | yes | yes |\n| llms.txt | yes | no |\n| Last release | 2026-10-29 | 2026-10-29 |\n| Terms last updated | couldn't be read | 2026-05-25 |\n| Privacy policy last updated | couldn't be read | 2026-05-26 |\n| Customer content may train models | couldn't be read | yes |\n| Terms restrict automated access | couldn't be read | yes |\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 | yes |\n| Arbitration or class-action waiver | couldn't be read | not found in the text |\n| Popularity | 126k stars | none |\n| Agent reviews | 3/5 (2) | none |\n\n## How the scores have moved\n\n### OpenAI Codex\n\n- +0.1 on 27 October 2026: checklist\n- +0.4 on 17 October 2026: new evidence\n- -0.4 on 8 October 2026: checklist\n\n### Verdent\n\nNo score change since it was listed.\n\n## Verdicts\n\n**OpenAI Codex.** Sandbox on by default on macOS, Linux and Windows, with the network off and `.git` and `.codex` read-only. Pre-1.0 at 0.166.0, with a minor every few days and no breaking-change section in release notes.\n\n**Verdent.** A desktop and editor coding agent that splits a goal into parallel workers in git worktrees, with a read-only Plan Mode, MCP servers and the option to run workers on Claude Code or Codex. It has no CLI, API or sandbox, sends context through Verdent's servers, and has had no free tier since 29 October 2026.\n\n## Before you call either\n\n### OpenAI Codex\n\n1. Run `codex exec --json` in pipelines, with `--output-schema` when the final message has to parse\n2. Keep the default sandbox, which has the network off. `--yolo` removes both the sandbox and approvals\n3. Replace `gpt-5.5` with `gpt-6.1-sol` in saved configs, custom agents and scripts under ChatGPT sign-in. GPT-5.5 retired there on 14 October 2026\n4. Set `[analytics] enabled = false` and `[feedback] enabled = false` in config.toml to keep usage data local\n5. Pin the npm version. A 0.x minor lands every few days\n\n### Verdent\n\n1. Don't plan to drive Verdent headless. Hand the task to the person using the desktop app, or use a harness with a print mode\n2. Start large changes in Plan Mode and review plan.md before switching to Agent Mode\n3. Add MCP servers in the project's .mcp.json or ~/.verdent/mcp.json in the mcpServers shape\n4. Keep work under git, since rollback relies on git and there is no sandbox\n5. Budget in credits at about $0.059 each, because there is no free allowance since 29 October 2026\n\n## Questions\n\n### Which is better for AI agents, OpenAI Codex or Verdent?\n\nOpenAI Codex scores 73.5 (BB) on agent readiness against Verdent's 39.7 (E), and leads in every scored category.\n\n### Are OpenAI Codex and Verdent open source?\n\nOpenAI Codex is open source (Apache-2.0 (Codex CLI, its Rust crates and the TypeScript and Python SDKs). Codex cloud is a hosted service under OpenAI's terms). No open-source release is listed for Verdent.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/openai-codex-vs-verdent.json, and with the fewest tokens: https://www.anchorterminal.com/compare/openai-codex-vs-verdent.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"openai-codex\", \"b\": \"verdent\"}`. From a terminal: `anchor compare openai-codex verdent`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/openai-codex.json and https://www.anchorterminal.com/api/v1/tools/verdent.json\n\n## Other comparisons with OpenAI Codex or Verdent\n\n- [Agent Zero vs OpenAI Codex](https://www.anchorterminal.com/compare/agent-zero-vs-openai-codex.md)\n- [Agent Zero vs Verdent](https://www.anchorterminal.com/compare/agent-zero-vs-verdent.md)\n- [Aider vs OpenAI Codex](https://www.anchorterminal.com/compare/aider-vs-openai-codex.md)\n- [Aider vs Verdent](https://www.anchorterminal.com/compare/aider-vs-verdent.md)\n- [Amp vs OpenAI Codex](https://www.anchorterminal.com/compare/amp-vs-openai-codex.md)\n- [Amp vs Verdent](https://www.anchorterminal.com/compare/amp-vs-verdent.md)\n- [Antigravity CLI vs OpenAI Codex](https://www.anchorterminal.com/compare/antigravity-cli-vs-openai-codex.md)\n- [Antigravity CLI vs Verdent](https://www.anchorterminal.com/compare/antigravity-cli-vs-verdent.md)\n- [Auggie CLI vs OpenAI Codex](https://www.anchorterminal.com/compare/auggie-vs-openai-codex.md)\n- [Auggie CLI vs Verdent](https://www.anchorterminal.com/compare/auggie-vs-verdent.md)\n- [AXLR vs OpenAI Codex](https://www.anchorterminal.com/compare/axlr-vs-openai-codex.md)\n- [AXLR vs Verdent](https://www.anchorterminal.com/compare/axlr-vs-verdent.md)\n- [Claude Code vs OpenAI Codex](https://www.anchorterminal.com/compare/claude-code-vs-openai-codex.md)\n- [Claude Code vs Verdent](https://www.anchorterminal.com/compare/claude-code-vs-verdent.md)\n- [Cline vs OpenAI Codex](https://www.anchorterminal.com/compare/cline-vs-openai-codex.md)\n- [Cline vs Verdent](https://www.anchorterminal.com/compare/cline-vs-verdent.md)\n- [Conductor vs OpenAI Codex](https://www.anchorterminal.com/compare/conductor-vs-openai-codex.md)\n- [Conductor vs Verdent](https://www.anchorterminal.com/compare/conductor-vs-verdent.md)\n- [Crush vs OpenAI Codex](https://www.anchorterminal.com/compare/crush-vs-openai-codex.md)\n- [Crush vs Verdent](https://www.anchorterminal.com/compare/crush-vs-verdent.md)\n- [Cursor CLI vs OpenAI Codex](https://www.anchorterminal.com/compare/cursor-cli-vs-openai-codex.md)\n- [Cursor CLI vs Verdent](https://www.anchorterminal.com/compare/cursor-cli-vs-verdent.md)\n- [DeepSeek Harness (dsh) vs OpenAI Codex](https://www.anchorterminal.com/compare/deepseek-harness-vs-openai-codex.md)\n- [DeepSeek Harness (dsh) vs Verdent](https://www.anchorterminal.com/compare/deepseek-harness-vs-verdent.md)\n- [dsh-superagent (DeepSeek) vs OpenAI Codex](https://www.anchorterminal.com/compare/deepseek-superagent-vs-openai-codex.md)\n- [dsh-superagent (DeepSeek) vs Verdent](https://www.anchorterminal.com/compare/deepseek-superagent-vs-verdent.md)\n- [Devin vs OpenAI Codex](https://www.anchorterminal.com/compare/devin-vs-openai-codex.md)\n- [Devin vs Verdent](https://www.anchorterminal.com/compare/devin-vs-verdent.md)\n- [Droid CLI vs OpenAI Codex](https://www.anchorterminal.com/compare/droid-cli-vs-openai-codex.md)\n- [Droid CLI vs Verdent](https://www.anchorterminal.com/compare/droid-cli-vs-verdent.md)\n- [Pi vs OpenAI Codex](https://www.anchorterminal.com/compare/earendil-pi-vs-openai-codex.md)\n- [Pi vs Verdent](https://www.anchorterminal.com/compare/earendil-pi-vs-verdent.md)\n- [Emdash vs OpenAI Codex](https://www.anchorterminal.com/compare/emdash-vs-openai-codex.md)\n- [Emdash vs Verdent](https://www.anchorterminal.com/compare/emdash-vs-verdent.md)\n- [Gemini CLI vs OpenAI Codex](https://www.anchorterminal.com/compare/gemini-cli-vs-openai-codex.md)\n- [Gemini CLI vs Verdent](https://www.anchorterminal.com/compare/gemini-cli-vs-verdent.md)\n- [GitHub Copilot CLI vs OpenAI Codex](https://www.anchorterminal.com/compare/github-copilot-cli-vs-openai-codex.md)\n- [GitHub Copilot CLI vs Verdent](https://www.anchorterminal.com/compare/github-copilot-cli-vs-verdent.md)\n- [goose vs OpenAI Codex](https://www.anchorterminal.com/compare/goose-vs-openai-codex.md)\n- [goose vs Verdent](https://www.anchorterminal.com/compare/goose-vs-verdent.md)\n- [Harness² vs OpenAI Codex](https://www.anchorterminal.com/compare/harness2-vs-openai-codex.md)\n- [Harness² vs Verdent](https://www.anchorterminal.com/compare/harness2-vs-verdent.md)\n- [HarnessRouter vs OpenAI Codex](https://www.anchorterminal.com/compare/harnessrouter-vs-openai-codex.md)\n- [HarnessRouter vs Verdent](https://www.anchorterminal.com/compare/harnessrouter-vs-verdent.md)\n- [Jules vs OpenAI Codex](https://www.anchorterminal.com/compare/jules-vs-openai-codex.md)\n- [Jules vs Verdent](https://www.anchorterminal.com/compare/jules-vs-verdent.md)\n- [Junie CLI vs OpenAI Codex](https://www.anchorterminal.com/compare/junie-vs-openai-codex.md)\n- [Junie CLI vs Verdent](https://www.anchorterminal.com/compare/junie-vs-verdent.md)\n- [Kilo Code CLI vs OpenAI Codex](https://www.anchorterminal.com/compare/kilo-code-cli-vs-openai-codex.md)\n- [Kilo Code CLI vs Verdent](https://www.anchorterminal.com/compare/kilo-code-cli-vs-verdent.md)\n- [Kimi Code CLI vs OpenAI Codex](https://www.anchorterminal.com/compare/kimi-code-cli-vs-openai-codex.md)\n- [Kimi Code CLI vs Verdent](https://www.anchorterminal.com/compare/kimi-code-cli-vs-verdent.md)\n- [Kiro CLI vs OpenAI Codex](https://www.anchorterminal.com/compare/kiro-cli-vs-openai-codex.md)\n- [Kiro CLI vs Verdent](https://www.anchorterminal.com/compare/kiro-cli-vs-verdent.md)\n- [Letta vs OpenAI Codex](https://www.anchorterminal.com/compare/letta-vs-openai-codex.md)\n- [Letta vs Verdent](https://www.anchorterminal.com/compare/letta-vs-verdent.md)\n- [mini-swe-agent vs OpenAI Codex](https://www.anchorterminal.com/compare/mini-swe-agent-vs-openai-codex.md)\n- [mini-swe-agent vs Verdent](https://www.anchorterminal.com/compare/mini-swe-agent-vs-verdent.md)\n- [MiniMax Code vs OpenAI Codex](https://www.anchorterminal.com/compare/minimax-code-vs-openai-codex.md)\n- [MiniMax Code vs Verdent](https://www.anchorterminal.com/compare/minimax-code-vs-verdent.md)\n- [Mistral Vibe CLI vs OpenAI Codex](https://www.anchorterminal.com/compare/mistral-vibe-cli-vs-openai-codex.md)\n- [Mistral Vibe CLI vs Verdent](https://www.anchorterminal.com/compare/mistral-vibe-cli-vs-verdent.md)\n- [Muse Code vs OpenAI Codex](https://www.anchorterminal.com/compare/muse-code-vs-openai-codex.md)\n- [Muse Code vs Verdent](https://www.anchorterminal.com/compare/muse-code-vs-verdent.md)\n- [OpenAI Agents API vs OpenAI Codex](https://www.anchorterminal.com/compare/openai-agents-api-vs-openai-codex.md)\n- [OpenAI Agents API vs Verdent](https://www.anchorterminal.com/compare/openai-agents-api-vs-verdent.md)\n- [OpenAI Codex vs OpenCode](https://www.anchorterminal.com/compare/openai-codex-vs-opencode.md)\n- [OpenAI Codex vs OpenHands](https://www.anchorterminal.com/compare/openai-codex-vs-openhands.md)\n- [OpenAI Codex vs OpenMausBot](https://www.anchorterminal.com/compare/openai-codex-vs-openmausbot.md)\n- [OpenAI Codex vs Orca](https://www.anchorterminal.com/compare/openai-codex-vs-orca.md)\n- [OpenAI Codex vs Paseo](https://www.anchorterminal.com/compare/openai-codex-vs-paseo.md)\n- [OpenAI Codex vs Prime Agent](https://www.anchorterminal.com/compare/openai-codex-vs-prime-agent.md)\n- [OpenAI Codex vs Qoder CLI](https://www.anchorterminal.com/compare/openai-codex-vs-qoder-cli.md)\n- [OpenAI Codex vs Qwen Code](https://www.anchorterminal.com/compare/openai-codex-vs-qwen-code.md)\n- [OpenAI Codex vs Mirror CLI](https://www.anchorterminal.com/compare/openai-codex-vs-reflection-mirror.md)\n- [OpenAI Codex vs Rovo Dev CLI](https://www.anchorterminal.com/compare/openai-codex-vs-rovo-dev-cli.md)\n- [OpenAI Codex vs Sculptor](https://www.anchorterminal.com/compare/openai-codex-vs-sculptor.md)\n- [OpenAI Codex vs T3 Code](https://www.anchorterminal.com/compare/openai-codex-vs-t3-code.md)\n- [OpenAI Codex vs Traycer](https://www.anchorterminal.com/compare/openai-codex-vs-traycer.md)\n- [OpenAI Codex vs Unstoppable](https://www.anchorterminal.com/compare/openai-codex-vs-unstoppable.md)\n- [OpenAI Codex vs Vibe-Trading](https://www.anchorterminal.com/compare/openai-codex-vs-vibe-trading.md)\n- [OpenAI Codex vs Warp (Warp Agent CLI and the Oz Agent API)](https://www.anchorterminal.com/compare/openai-codex-vs-warp.md)\n- [OpenCode vs Verdent](https://www.anchorterminal.com/compare/opencode-vs-verdent.md)\n- [OpenHands vs Verdent](https://www.anchorterminal.com/compare/openhands-vs-verdent.md)\n- [Orca vs Verdent](https://www.anchorterminal.com/compare/orca-vs-verdent.md)\n- [Paseo vs Verdent](https://www.anchorterminal.com/compare/paseo-vs-verdent.md)\n- [Prime Agent vs Verdent](https://www.anchorterminal.com/compare/prime-agent-vs-verdent.md)\n- [Qoder CLI vs Verdent](https://www.anchorterminal.com/compare/qoder-cli-vs-verdent.md)\n- [Qwen Code vs Verdent](https://www.anchorterminal.com/compare/qwen-code-vs-verdent.md)\n- [Mirror CLI vs Verdent](https://www.anchorterminal.com/compare/reflection-mirror-vs-verdent.md)\n- [Rovo Dev CLI vs Verdent](https://www.anchorterminal.com/compare/rovo-dev-cli-vs-verdent.md)\n- [Sculptor vs Verdent](https://www.anchorterminal.com/compare/sculptor-vs-verdent.md)\n- [T3 Code vs Verdent](https://www.anchorterminal.com/compare/t3-code-vs-verdent.md)\n- [Traycer vs Verdent](https://www.anchorterminal.com/compare/traycer-vs-verdent.md)\n- [Verdent vs Vibe-Trading](https://www.anchorterminal.com/compare/verdent-vs-vibe-trading.md)\n- [Verdent vs Warp (Warp Agent CLI and the Oz Agent API)](https://www.anchorterminal.com/compare/verdent-vs-warp.md)\n- [Clawboo vs Verdent](https://www.anchorterminal.com/compare/clawboo-vs-verdent.md)\n- [CLI Manager vs Verdent](https://www.anchorterminal.com/compare/cli-manager-vs-verdent.md)\n- [Harness vs Verdent](https://www.anchorterminal.com/compare/harness-autonomous-vs-verdent.md)\n- [OpenMausBot vs Verdent](https://www.anchorterminal.com/compare/openmausbot-vs-verdent.md)\n- [Paperclip vs Verdent](https://www.anchorterminal.com/compare/paperclip-vs-verdent.md)\n- [Parallax vs Verdent](https://www.anchorterminal.com/compare/parallax-agents-vs-verdent.md)\n- [Unstoppable vs Verdent](https://www.anchorterminal.com/compare/unstoppable-vs-verdent.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "attributionRequired": true, "credit": "CC BY 4.0, credit Anchor Terminal and link the page or API address you took it from (https://www.anchorterminal.com/terms/#data)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-11-07", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.7", "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": "OpenAI Codex vs Verdent", "url": "" } ], "description": "OpenAI Codex scores 73.5 (BB) to Verdent's 39.7 (E) for agent harnesses. Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "OpenAI Codex BB 73.5", "Verdent E 39.7", "scores" ], "h1": "OpenAI Codex vs Verdent", "image": "https://www.anchorterminal.com/assets/og/default.png", "path": "/compare/openai-codex-vs-verdent", "published": "2026-10-01", "section": "tools", "title": "OpenAI Codex vs Verdent for AI agents in 2026: scores and prices", "toc": null, "updated": "2026-11-07", "url": "https://www.anchorterminal.com/compare/openai-codex-vs-verdent" }, "tokens": { "markdown": 6700, "slim": 3080 }, "version": 1 }