Best for
Best for developers who want an open-source agent and want to pay for model calls at cost.
- Freelancers
- Small and mid-sized
- Enterprise
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AI Code Comparison
At a glance
Best for
Best for developers who want an open-source agent and want to pay for model calls at cost.
Best for
Best for developers who want an agent, chat and autocomplete in one open-source tool, with a self-hosted option for privacy.
Cataleo does not name a winner. Both statements come from the vendors themselves.
| Criterion | Kilo Code | Refact.ai |
|---|---|---|
| Starting price | Free and open source; Teams $15 / user / month Inference is billed separately: exact provider rates through the Kilo Gateway with no markup, your own keys, or an optional Kilo Pass credit subscription at $19, $49 or $199 a month. Enterprise is quoted. Cloud compute is billed per second, Gas Town at $1.20 an hour and code review at $0.33. | lower value Free tier; Pro $10 / month The free plan includes unlimited completions and limited daily agent use. Enterprise is custom, with on-premise deployment and fine-tuning. |
| Free trial | Free plan for individuals; a 14-day Enterprise trial for teams | Free tier |
| Commercial use | Yes, the source is MIT licensed | Yes |
| Output | Code, refactors, pull-request reviews and agent sessions | Agentic coding, chat and completion in the IDE |
| API | Yes, the Kilo Gateway is a single endpoint to hundreds of models, with streaming, BYOK and usage tracking | Bring your own key |
| Hosting | Cloud (SaaS), with editor extensions and a CLI on your own machine | Cloud or self-hosted on-premise |
| Where it runs | VS Code extension, JetBrains plugin for IntelliJ, PyCharm, WebStorm and others, a CLI installed with npm, cloud agents, Slack and mobile apps | Plugins for VS Code and JetBrains IDEs, with Visual Studio, Neovim and Sublime Text in beta |
| Inline completions | Yes, fill-in-the-middle autocomplete routed through the Kilo Gateway, on by default as ghost text accepted with Tab, using Codestral by default or Mercury Edit 2 with your own Inception key; a status bar item snoozes it | Yes, real-time completion on Qwen2.5-Coder with retrieval for context |
| Agent mode | Yes, Code, Architect, Debug, Ask and custom modes, an automated pull-request code reviewer, and an Agent Manager running parallel worktree-isolated local and cloud sessions | Yes, an autonomous agent that plans and executes multi-step tasks |
| Model choice | Yes, more than 500 models across over 60 providers through the Kilo Gateway, Auto Model routing across Frontier, Efficient and Free tiers, your own Anthropic, OpenAI, Google, Azure or AWS Bedrock keys, and local models with Ollama or LM Studio | Claude and GPT models built in, plus bring-your-own-key for Gemini, Grok and DeepSeek |
| Data control | MIT-licensed source with the prompt and context window open to inspection and no silent model switching; Teams adds data privacy controls and shared BYOK, Enterprise adds SSO, OIDC and SCIM, audit logs and limits on which models and providers may be used | Self-hosted, on-premise deployment keeps code private |
| Ecosystem fit | MCP servers, GitHub integration for automated pull-request reviews, plugins, shell integration, custom rules and shared agent modes | IDE plugins across VS Code and JetBrains, open source with a self-hosted server |
| Deployment | Cloud (SaaS), Browser-based | Cloud (SaaS), On-premise |
| Support | Community forum | Not stated |
| Onboarding | Documentation and knowledge base | Documentation and knowledge base |
| Company size | Freelancers, Small and mid-sized, Enterprise | Freelancers, Small and mid-sized, Enterprise |
| Integrations | GitHub, Slack, Ollama, LM Studio | Not stated |
Adds a column to the table, from the tools in this category.
Row where the values differ The small markers point at the lower number, the longer list or the stated feature. They describe the data, they are not a verdict.
The short version
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The trade-offs
Kilo Code
Strengths
Limitations
Refact.ai
Strengths
Limitations
Plans
Kilo Code
Refact.ai
What users say
Kilo Code
No reviews yet. Nothing has been published here yet, and no score is shown. How a review is checked before it appears is described below.
Refact.ai
No reviews yet. Nothing has been published here yet, and no score is shown. How a review is checked before it appears is described below.
Reviews are not published yet. The form on a tool's page works and reaches us, but nothing from it appears on this site, so no score here is based on a review. The rules below are the ones that will apply once reviews go live.
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Where this comes from
Kilo Code https://kilo.ai · checked against the official source on 2026-09-10
Refact.ai https://refact.ai · no check date recorded yet
This table lists factual criteria taken from information the vendors publish themselves. For how we put it together, see the methodology.