Best for
Best for developers tackling complex, multi-file refactors and architectural changes from the terminal.
- Freelancers
- Small and mid-sized
- Enterprise
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AI Code Comparison
At a glance
Best for
Best for developers tackling complex, multi-file refactors and architectural changes from the terminal.
Best for
Best for developers who want an open-source agent and want to pay for model calls at cost.
Cataleo does not name a winner. Both statements come from the vendors themselves.
| Criterion | Claude Code | Kilo Code |
|---|---|---|
| Starting price | Included in Claude Pro, $20 / month Max from $100 per month. Also available through the Anthropic API, billed per use. | lower value 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. |
| Free trial | Through a Claude subscription | Free plan for individuals; a 14-day Enterprise trial for teams |
| Commercial use | Yes | Yes, the source is MIT licensed |
| Output | Terminal agent with project-level planning | Code, refactors, pull-request reviews and agent sessions |
| API | Yes, the Anthropic API | Yes, the Kilo Gateway is a single endpoint to hundreds of models, with streaming, BYOK and usage tracking |
| Hosting | Not stated | Cloud (SaaS), with editor extensions and a CLI on your own machine |
| Where it runs | Terminal, pairs with any editor | VS Code extension, JetBrains plugin for IntelliJ, PyCharm, WebStorm and others, a CLI installed with npm, cloud agents, Slack and mobile apps |
| Inline completions | No, it works by instruction rather than by autocomplete: the CLI and the VS Code and JetBrains extensions offer plan review, inline diffs and @-mentions, not tab completions as you type | 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 |
| Agent mode | Yes, terminal-native agent with a project-level planning loop, deep multi-file context and MCP support | 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 |
| Model choice | Yes, Opus, Sonnet, Haiku and Fable models, switched with the /model command, the --model flag, an environment variable or a settings file, including extended 1M-token context variants | 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 |
| Data control | Team, Enterprise and API usage is not used to train models and is retained for 30 days, with zero data retention available to qualified Enterprise accounts; on Free, Pro and Max the account's own training setting applies. It also runs against Amazon Bedrock, Google Cloud's Agent Platform and Microsoft Foundry, where telemetry and feedback are off by default | 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 |
| Ecosystem fit | Terminal, VS Code and JetBrains extensions, a desktop app, the web and mobile, plus GitHub Actions, GitLab CI/CD, Slack and Chrome; MCP servers connect external tools and the Agent SDK builds custom agents on the same engine | MCP servers, GitHub integration for automated pull-request reviews, plugins, shell integration, custom rules and shared agent modes |
| Deployment | Cloud (SaaS), Browser-based | Cloud (SaaS), Browser-based |
| Support | Not stated | Community forum |
| Onboarding | Documentation and knowledge base | Documentation and knowledge base |
| Company size | Freelancers, Small and mid-sized, Enterprise | Freelancers, Small and mid-sized, Enterprise |
| Integrations | more entries VS Code, JetBrains IDEs, GitHub Actions, GitLab CI/CD, Slack, Chrome, Model Context Protocol servers, Amazon Bedrock, Google Cloud's Agent Platform, Microsoft Foundry | GitHub, Slack, Ollama, LM Studio |
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
Every line is one datapoint from the table above, picked automatically. Nothing here is written text.
The trade-offs
Claude Code
Strengths
Limitations
Kilo Code
Strengths
Limitations
Plans
Claude Code
Kilo Code
What users say
Claude Code
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Kilo Code
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Where this comes from
Claude Code https://www.anthropic.com/claude-code · no check date recorded yet
Kilo Code https://kilo.ai · checked against the official source on 2026-09-10
This table lists factual criteria taken from information the vendors publish themselves. For how we put it together, see the methodology.