BELLISTE / AI COMPARISON

Compare AI models

Choose two models from the same AI category to compare equivalent plans, capabilities and technical details.

First modelvsSecond model

Lovable

80%

OpenAI Codex

88%

Estimated Belliste score, based on the available capabilities, quality, features and pricing information. It is an indicative profile estimate, not an independent benchmark.

How this profile estimate is calculated

Capabilities contribute 35%, quality wording 30%, listed features 20%, and pricing 15% when available. When capability fields are absent, specialization breadth supplies a 25% fallback. Missing categories are omitted and the remaining weights are rescaled. The estimate uses each model’s own published profile; it does not measure answer accuracy or replace a hands-on test.

OverviewLovableOpenAI Codex

PriceFree $0/month · Pro from $25/workspace/month · Business from $50/workspace/month, billed monthly. Annual billing displays $21/month and $42/month respectively. USD; usage and credit tier affect cost.Free $0/month · Go $8/month · Plus $20/month; monthly USD subscription prices. API usage is billed separately.

Free planFree plan requires no credit card: 5 daily build credits capped at 30/month, daily chat allowance and temporary usage-specific grants. A standard time-limited paid-plan trial is not disclosed on reviewed plan pages.Free access is included with limited model/client availability; Free and Go currently list GPT-6 Luna Standard in desktop, subject to rollout. A universal paid-plan trial duration is not disclosed.

Overview & Compatibility

9 specifications

SpecificationLovableOpenAI Codex

Starting PriceFree $0/month · Pro from $25/workspace/month billed monthly, or $21/month displayed with annual billing · Business from $50/month monthly, or $42/month displayed annually. USD; credit tiers and usage affect cost.Free $0/month · Go $8/month · Plus $20/month; monthly USD subscription prices. API usage is billed separately.

Tool TypeAI App Builder / Coding Agent for building, editing and deploying full-stack web applications.Coding Agent / IDE Assistant; local development and cloud task workflows.

Primary Use CaseCreate web apps, SaaS prototypes, internal tools, dashboards and websites from natural-language requirements, then iterate and publish.Implement features, investigate bugs, review changes and automate repository maintenance.

Best ForFounders, product and design teams, agencies, individual builders and developers who want managed web-app development with editable source code.Individual developers and engineering teams working with repositories, tests and code review.

Access MethodsWeb editor · macOS/Windows desktop app · iOS/Android mobile app · Slack/Telegram · ChatGPT app · Lovable MCP server and REST API. Access and capabilities vary.Desktop app · CLI · IDE extension/integrations · Web/cloud; mobile cloud access depends on plan and client.

Supported Operating SystemsWeb access through a browser; native desktop for Windows and macOS 12+ (Intel or Apple Silicon). Mobile apps for iOS/Android. No native Linux desktop version is documented.Windows, macOS and Linux; CLI also runs in WSL. Installation, sandboxing and desktop capabilities differ by OS.

Supported IDEs & EditorsBuilt-in Lovable code editor; code can be synchronized through Git and edited in an external IDE. This is not a general IDE-extension product. Manual in-app code edits require a paid plan.VS Code, VS Code Insiders, Cursor and compatible editors; Xcode and JetBrains offer separate integrations.

Programming LanguagesWeb-app source and styling, including React/TSX frontend code and TypeScript edge functions; PostgreSQL for the documented database stack. Not a general all-language coding environment.Works across programming languages through source files and installed project tools. No exhaustive language-by-language compatibility guarantee is disclosed.

Framework SupportNew apps use TanStack Start; older projects use React + Vite. Backend: Lovable Cloud or Supabase, with PostgreSQL and APIs. Framework/database choice is constrained by Lovable’s supported stack.Uses the project’s framework, dependencies and build tools. A complete framework certification/support matrix is not disclosed.

Coding Capabilities

11 specifications

SpecificationLovableOpenAI Codex

Code CompletionNot applicable — Lovable’s documented workflow generates and edits apps through prompts; traditional IDE-style predictive code completion is not a documented product feature.Traditional as-you-type inline code autocomplete: Not disclosed. Codex documents prompted coding, editor-context input and diff review.

Code GenerationGenerates application code from prompts, covering frontend, backend, database, authentication and integrations within its supported stack.Generates code and files from instructions in an existing repository or new project.

Inline Code EditingCan target exact source lines through chat references and edit selected preview elements. Manual code editing is available on paid plans; this differs from an IDE inline-completion assistant.Uses selected editor code and open files as context for requested changes; edits can be reviewed beside the source.

Multi-File EditingBuild mode applies coordinated edits across frontend, backend and configuration files, with visible diffs and summaries.Can change multiple files in one repository task and present the resulting diff for review.

Code ExplanationChat mode can discuss the current app and code without changing it; file/line references provide precise context for explanations.Explains repository structure, functions and unfamiliar implementation details using accessible files.

RefactoringBuild mode can refactor code across multiple files and coordinate implementation changes. Review changes and test affected behavior.Refactors existing code using project instructions and can verify the result with available checks.

Debugging AssistanceInvestigates build/test failures, console output, logs and network activity; can reproduce issues with browser and backend verification tools.Investigates error reports, traces code paths and implements fixes; available logs and tests improve verification.

Agents & Execution

9 specifications

SpecificationLovableOpenAI Codex

Agent Mode & PlanningChat discusses without code changes; Plan investigates and proposes an approvable plan; Build implements and verifies changes directly in the project.Agent can inspect, plan, edit and verify a task. Planning and execution follow the selected mode and permission policy.

Terminal Command ExecutionRuns managed build and verification tools in its project environment. A general-purpose user terminal or unrestricted local-shell agent capability is not disclosed in reviewed documentation.Runs shell commands, builds and installed development tools within the allowed filesystem and network scope.

Automated Test ExecutionCan run frontend tests, edge tests and direct backend checks; frontend and edge tests run when requested. Browser testing can also be initiated during investigation.Runs available test suites, reads failures and can iterate on fixes; dependencies and test infrastructure must be configured.

Browser InteractionBuilt-in browser testing navigates the app, clicks controls, fills forms and inspects screenshots, UI, console logs and network activity.Built-in interactive browser in the desktop app for sites and local previews. It is not built into Codex CLI or IDE extension; browser tools can be added separately where supported.

Background / Cloud AgentsManaged cloud Build mode supports long tasks, with up to 10 hours per normal message and optional goal-based continuation. This does not establish unattended execution after every client disconnection.Cloud tasks run in isolated workspaces and continue while the local computer sleeps. Local background work depends on the host remaining available.

Parallel Agent TasksMay run multiple temporary read-only subagents in parallel for research, exploration or review. Only the main agent changes project files; independent parallel write agents are not documented.Supports parallel subagents and separate concurrent tasks; Git worktrees help isolate repository changes. Parallel work increases usage.

AI Models & Codebase Context

8 specifications

SpecificationLovableOpenAI Codex

Supported AI ModelsExact underlying app-building model names are not disclosed in the current FAQ. Lovable selects and updates leading models centrally; selectable models for AI features inside generated apps are a separate capability.GPT-6.1 Sol, GPT-6 Sol, GPT-6 Luna and GPT-6 Astra where eligible. GPT-5.6 variants remain during rollout; model access depends on plan, client and sign-in method.

Model SelectionAutomatic for the Lovable building agent; users cannot pick a specific model for Build, Plan, project Chat or Chats. Model choice inside a generated app is separate.Configurable defaults plus manual model/reasoning selection via the picker, /model or --model. Available settings depend on client and workspace policy.

Bring Your Own API KeyBYOK for the app-building agent is not documented. Credentials for third-party APIs or AI services used by your generated app are a separate integration capability.Supports OpenAI API-key authentication in CLI, SDK and IDE workflows. API billing is separate; ChatGPT-dependent cloud features are limited or unavailable with API-key sign-in.

Local Model SupportLocal model inference for the Lovable building agent is not documented; the agent requires internet access. Local MCP servers are supported by desktop and do not provide local-model hosting by themselves.CLI OSS mode supports local providers such as Ollama and LM Studio via --oss. Hardware, model tool support and feature compatibility vary.

Codebase Context & IndexingExplores project code and reads workspace/project knowledge, repository instruction files and connected-service context. Cross-project references are available within workspace permissions. A separate indexing architecture is not disclosed.Reads and searches accessible repository files, uses editor selections and project guidance. A universal persistent semantic-index specification is not disclosed.

Context WindowNot disclosed as a stable numeric token window for the Lovable building agent. Model choice is managed centrally; the 10,000-character knowledge fields are instruction limits, not the context window.

Developer Workflow & Integrations

5 specifications

SpecificationLovableOpenAI Codex

Git & Pull RequestsTwo-way sync with GitHub, GitLab or Bitbucket; Lovable creates a new linked repository. Supports branch-based development and external pull/merge-request review. Existing repository import uses a separate import workflow.Local Git diff, branch/worktree and change-review workflows. Authenticated Git tools/integrations can prepare and create pull requests; remote-provider permissions apply.

MCP & External IntegrationsCan consume remote MCP chat connectors and local MCP servers in desktop. Lovable’s own MCP server lets external AI clients create, iterate and deploy projects, subject to workspace policies.MCP supports external tools and data sources. Plugins and integrations can connect GitHub, GitLab beta, Slack, Linear and other services; availability and permissions differ.

Web SearchBuild mode has web search/web-fetch tools for external documentation and assets. Search/tool work contributes to usage-based build costs.Web search is supported, with availability and network behavior determined by client, configuration and workspace policy.

API / SDK AccessREST API for project/deployment management, analytics and security. Workspace API keys and sensitive scopes require Business/Enterprise; some security endpoints are Enterprise-only. Lovable MCP server supports project-building integrations on any plan with permitted client access.Codex SDKs for TypeScript and Python, app-server for custom clients, and codex exec for automation/CI. Authentication and usage billing follow the chosen runtime.

Deployment SupportManaged publishing and hosting with Cloud backend, database, auth, storage and functions; custom domains on paid plans. Export/Git sync enables external deployment such as Vercel, Netlify, Cloudflare or a server, depending on app stack.Can run deployment commands or connected tools with permission. Sites adds a build/publish workflow on eligible clients and plans; external hosting has separate credentials and costs.

Pricing, Teams & Security

6 specifications

SpecificationLovableOpenAI Codex

Free Plan / TrialFree plan requires no credit card: 5 daily build credits capped at 30/month, daily chat allowance and temporary usage-specific grants. A standard time-limited paid-plan trial is not disclosed on reviewed plan pages.Free access is included with limited model/client availability; Free and Go currently list GPT-6 Luna Standard in desktop, subject to rollout. A universal paid-plan trial duration is not disclosed.

Usage Limits / Extra UsagePro/Business start at 100 monthly plan credits plus 5 daily build credits. Free caps daily grants at 30/month. Temporary monthly grants: Cloud 20, AI 4 and connectors 1 credit. Build cost varies; Plan costs 1 credit plus subagent research. Paid top-ups/auto-top-ups are available; credits are shared and not equal in value across plans.Allowance depends on model, reasoning, speed and task. Plus/Standard Business publish 5-hour estimates; weekly limits may apply. Pro currently has no 5-hour limit. Extra credits and API billing are separate.

Team AdministrationShared workspaces and credits with unlimited collaborators. Paid plans add roles, per-member limits and usage controls; Business adds SSO/governance, and Enterprise adds SCIM, audit logs and advanced policies.Business/Enterprise provide workspace administration; managed configuration controls Codex access, permissions, models and rollout. Enterprise adds broader governance and audit capabilities.

Code Privacy & Data RetentionCloud processing; Enterprise can select EU inference. Free/Pro customer content may train Lovable models unless opted out; Business/Enterprise workspace data is excluded by default. Account/content is kept while the account is open, then deleted/de-identified after closure or verified request subject to legal needs. Log retention depends on purpose; no single universal retention period.Cloud inference processes supplied context unless a local provider is configured. Business/API data is not used for training by default. Retention varies by service, plan and controls; API abuse-monitoring logs are generally retained up to 30 days, with exceptions and eligible ZDR. No universal Codex retention duration is disclosed.