Codex vs Duvi: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Codex and Duvi — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Codex
OpenAI
Cloud-based software engineering agent that runs parallel coding agents to write features, fix bugs, review code, and create pull requests.
Key features
- Parallel Multi-Agent Execution: Launches many independent coding agents simultaneously to work on separate tasks across repositories, increasing throughput and enabling concurrent feature development.
- Code Writing and Implementation: Generates new features, implements requested changes, and creates code across multiple languages based on prompts or repository context.
- Automated Code Review and PR Generation: Reviews code changes, proposes diffs and pull requests, and surfaces suggested edits in a review interface for maintainers to accept or modify.
- GitHub Integration: Connects to GitHub to browse repositories, read code context, create branches and pull requests, and link outputs directly to source control workflows.
- Local CLI and IDE Extensions: Provides a Codex CLI for running the agent locally and IDE extensions for editors (e.g., VS Code) so developers can interact with Codex inside their development environment.
- Cloud Environments and Sandboxing: Runs in sandboxed cloud environments by default (network access disabled) with documented options to configure internet access and environment settings for safe execution.
- Enterprise Controls and Admin Setup: Supports workspace configuration and enterprise admin setup to manage access, policies, and repository permissions for organizational use.
- Local CLI: install via npm (npm i -g @openai/codex) or homebrew (brew install codex) and run 'codex' locally
- Cloud Web: Codex Web (chatgpt.com/codex) with GitHub repository connectivity and pull request creation
- IDE Extensions: integrations for VS Code, Cursor, Windsurf (IDE plugin for in-editor workflows)
- Multi-agent orchestration: deploy multiple agents to work on parallel coding tasks
- Code review automation: generate, propose, and review changes with CI-style workflows
- GitHub integration: connect GitHub account to read repositories and create PRs
- Config and local settings: preferences stored in ~/.codex/config.toml
- Sandboxed execution: default sandbox with network access disabled; cloud environments configurable for network/Internet access
- Enterprise features: admin setup and workspace configuration for enterprise customers
- Documentation and developer resources: dedicated docs, CLI quickstart, cloud environment guides, and changelog
Best for
- Feature Development: Assign Codex agents to implement new features across multiple repositories or services, reducing developer time on boilerplate and repetitive tasks.
- Automated Code Review: Use Codex to produce initial code reviews and suggested diffs for maintainers, accelerating PR feedback cycles and improving code quality.
- Bug Fixing and Test Generation: Ask Codex to locate, diagnose, and propose fixes for bugs and to generate unit or integration tests based on repository context.
- Codebase Q&A and Onboarding: Enable developers to ask Codex questions about unfamiliar codebases, architecture, or specific files to speed onboarding and troubleshooting.
- Local and Editor Workflows: Run the Codex CLI or IDE extension to get quick patch suggestions, scaffolding, or interactive coding assistance directly in a developer's local environment.
- Enterprise Collaboration: Deploy Codex within an enterprise workspace with admin controls to standardize agent use, integrate with internal repos, and enforce security policies.
- Automated feature implementation across a codebase using parallel agents
- Automated code review and pull-request generation for repository contributions
- Interactive code assistance inside IDEs (generate code, explain code, fix bugs)
- Local development workflows via CLI for offline or private usage
- Enterprise deployment with admin-configured cloud environments and governance controls
Duvi
Duvi DigiIQ, Inc.
Build voice and chat support agents by describing them in conversation; one configuration answers on your website, WhatsApp and phone line.
Key features
- Conversational Agent Builder: Creating an agent opens a conversation with a builder that writes the system prompt, picks a model and ingests the websites the agent should answer from, so setup is a dialogue rather than a configuration form.
- Unified Omnichannel Configuration: One agent configuration serves website chat, a WhatsApp number and a phone line, with the same knowledge behind every channel so context is not lost when a customer switches.
- Live Knowledge Lookups: The agent checks your connected store as it answers, so stock and catalogue responses reflect what is actually available at that moment rather than a stale snapshot.
- Website Actions: With the customer's instruction the agent operates the on-page controls you allow, completing the task in front of them instead of handing them a link and instructions.
- Grounded Answering: The agent answers from the pages you point it at and says so when the information is not there, rather than guessing.
- Preview Before Launch: Agents are tested in Preview and only go live once the domain is allowed and a snippet is pasted on your site.
- Broad Connector Library: Sign-in level integrations for Shopify, WooCommerce, Wix, Salesforce Commerce Cloud, Stripe, PayPal, Notion, Airtable, Webflow, Linear, monday.com, Sentry, Supabase, Cloudflare and Zapier.
- Team Workspace: Staff query the day's conversations and orders through their own authorized connection, so the answer reflects the order a customer placed moments ago.
Best for
- Ecommerce Support Deflection: A Shopify store answers stock, shipping and returns questions automatically, with the agent reading live catalogue data instead of a static FAQ.
- Lead Capture With Context: An agent takes a caller's email or number and routes it to the team with the whole conversation attached, so nobody asks the customer to repeat themselves.
- Phone Line Replacement: A small team replaces a recorded phone menu with an agent that answers real questions using the same knowledge base as the website chat.
- WhatsApp Commerce: A brand serving customers primarily on WhatsApp runs the same support agent there without maintaining a separate bot.
- Startup Support Coverage: An early-stage team keeps answering customers around the clock while engineers focus on building the product.
- Enterprise Support Augmentation: An established support operation adds agents to an existing stack via connectors rather than replacing its tooling.