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

OpenAI Codex

88%

Lovable

80%

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.

OverviewOpenAI CodexLovable

PriceFree $0/month · Go $8/month · Plus $20/month; monthly USD subscription prices. API usage is billed separately.Free $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 planFree 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.Free 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.

Overview & Compatibility

9 specifications

SpecificationOpenAI CodexLovable

Starting PriceFree $0/month · Go $8/month · Plus $20/month; monthly USD subscription prices. API usage is billed separately.Free $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.

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

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

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

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

Supported Operating SystemsWindows, macOS and Linux; CLI also runs in WSL. Installation, sandboxing and desktop capabilities differ by OS.Web 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.

Supported IDEs & EditorsVS Code, VS Code Insiders, Cursor and compatible editors; Xcode and JetBrains offer separate integrations.Built-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.

Programming LanguagesWorks across programming languages through source files and installed project tools. No exhaustive language-by-language compatibility guarantee is disclosed.Web-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.

Framework SupportUses the project’s framework, dependencies and build tools. A complete framework certification/support matrix is not disclosed.New 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.

Coding Capabilities

11 specifications

SpecificationOpenAI CodexLovable

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

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

Inline Code EditingUses selected editor code and open files as context for requested changes; edits can be reviewed beside the source.Can 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.

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

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

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

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

Agents & Execution

9 specifications

SpecificationOpenAI CodexLovable

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

Terminal Command ExecutionRuns shell commands, builds and installed development tools within the allowed filesystem and network scope.Runs 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.

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

Browser InteractionBuilt-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.Built-in browser testing navigates the app, clicks controls, fills forms and inspects screenshots, UI, console logs and network activity.

Background / Cloud AgentsCloud tasks run in isolated workspaces and continue while the local computer sleeps. Local background work depends on the host remaining available.Managed 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.

Parallel Agent TasksSupports parallel subagents and separate concurrent tasks; Git worktrees help isolate repository changes. Parallel work increases usage.May 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.

AI Models & Codebase Context

8 specifications

SpecificationOpenAI CodexLovable

Supported AI ModelsGPT-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.Exact 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.

Model SelectionConfigurable defaults plus manual model/reasoning selection via the picker, /model or --model. Available settings depend on client and workspace policy.Automatic 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.

Bring Your Own API KeySupports 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.BYOK 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.

Local Model SupportCLI OSS mode supports local providers such as Ollama and LM Studio via --oss. Hardware, model tool support and feature compatibility vary.Local 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.

Codebase Context & IndexingReads and searches accessible repository files, uses editor selections and project guidance. A universal persistent semantic-index specification is not disclosed.Explores 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.

Context WindowModel/provider dependent; context usage and compaction affect a session. No single fixed Codex-wide context window is disclosed; API model maximums do not guarantee equivalent usable product context.

Developer Workflow & Integrations

5 specifications

SpecificationOpenAI CodexLovable

Git & Pull RequestsLocal Git diff, branch/worktree and change-review workflows. Authenticated Git tools/integrations can prepare and create pull requests; remote-provider permissions apply.Two-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.

MCP & External IntegrationsMCP supports external tools and data sources. Plugins and integrations can connect GitHub, GitLab beta, Slack, Linear and other services; availability and permissions differ.Can 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.

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

API / SDK AccessCodex SDKs for TypeScript and Python, app-server for custom clients, and codex exec for automation/CI. Authentication and usage billing follow the chosen runtime.REST 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.

Deployment SupportCan 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.Managed 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.

Pricing, Teams & Security

6 specifications

SpecificationOpenAI CodexLovable

Free Plan / TrialFree 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.Free 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.

Usage Limits / Extra UsageAllowance 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.Pro/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.

Team AdministrationBusiness/Enterprise provide workspace administration; managed configuration controls Codex access, permissions, models and rollout. Enterprise adds broader governance and audit capabilities.Shared 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.

Code Privacy & Data RetentionCloud 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.Cloud 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.