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
AI Code Comparison
Kilo Code vs. OpenCode
At a glance
At a glance
Best for
Best for developers who want an agent with no vendor lock-in, their own model keys, or a fully local setup.
- Freelancers
- Small and mid-sized
Cataleo does not name a winner. Both statements come from the vendors themselves.
Full Comparison
| Criterion | Kilo Code | OpenCode |
|---|---|---|
| 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. | Free, MIT licence You bring your own provider keys and pay them directly. The optional OpenCode Zen gateway is pay as you go per million tokens and includes several free models. |
| Free trial | Free plan for individuals; a 14-day Enterprise trial for teams | Free open-source agent |
| Commercial use | Yes, the source is MIT licensed | Yes, MIT licence |
| Output | Code, refactors, pull-request reviews and agent sessions | Agentic coding in a terminal, a desktop app or an IDE |
| API | Yes, the Kilo Gateway is a single endpoint to hundreds of models, with streaming, BYOK and usage tracking | Local server with a TypeScript SDK |
| Hosting | Cloud (SaaS), with editor extensions and a CLI on your own machine | Not stated |
| 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 | Terminal, a desktop app for macOS, Windows and Linux, and IDE extensions; open source under the MIT licence, installed through npm, Homebrew, Scoop, Chocolatey, Arch, Mise, Docker or a binary |
| 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 | No, OpenCode is driven by prompts rather than by suggestions as you type; its language-server integration feeds diagnostics back to the agent instead of offering inline completions |
| 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 coding agent with several sessions running in parallel and the option to share a session |
| 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 | Yes, more than 75 providers through Models.dev with your own keys, plus local models through Ollama, LM Studio or llama.cpp and any other OpenAI-compatible endpoint declared in opencode.json |
| 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 | Provider keys are stored locally in the user's own auth file rather than on a server, the project states it does not store your code or context data, and local models keep the work on your machine |
| Ecosystem fit | MCP servers, GitHub integration for automated pull-request reviews, plugins, shell integration, custom rules and shared agent modes | Terminal, desktop app and IDE extensions, with language servers and MCP servers configurable; the optional OpenCode Zen gateway supplies models tested for coding agents |
| Deployment | Cloud (SaaS), Browser-based | Cloud (SaaS), On-premise |
| Support | Community forum | Community forum |
| Onboarding | Documentation and knowledge base | Documentation and knowledge base |
| Company size | more entries Freelancers, Small and mid-sized, Enterprise | Freelancers, Small and mid-sized |
| Integrations | GitHub, Slack, Ollama, LM Studio | more entries Visual Studio Code, Cursor, Windsurf, VSCodium, GitHub, Ollama, LM Studio, llama.cpp |
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The short version
Key Differences
- Starting price Kilo Code Free and open source; Teams $15 / user / month OpenCode Free, MIT licence
- Free trial Kilo Code Free plan for individuals; a 14-day Enterprise trial for teams OpenCode Free open-source agent
- Deployment Kilo Code Cloud (SaaS), Browser-based OpenCode Cloud (SaaS), On-premise
- Company size Kilo Code Freelancers, Small and mid-sized, Enterprise OpenCode Freelancers, Small and mid-sized
- Commercial use Kilo Code Yes, the source is MIT licensed OpenCode Yes, MIT licence
Every line is one datapoint from the table above, picked automatically. Nothing here is written text.
The trade-offs
Strengths and Limitations
Kilo Code
Strengths
- MIT licensed, with the prompt, context window and decisions open to inspection
- Model calls billed at exact provider rates with no markup, or run on your own keys and local models
- One account across VS Code, JetBrains, the CLI, cloud agents, Slack and mobile
Limitations
- Usage is metered per model call rather than per seat, so budgeting takes attention
- Kilo Deploy has reached end of life and is closed to new users
OpenCode
Strengths
- MIT-licensed and free, with no restriction on commercial use
- More than 75 model providers plus fully local models, so no vendor lock-in
- One agent across terminal, desktop app and IDE
- Local server and TypeScript SDK for embedding the agent in other tools
Limitations
- You manage provider keys and pay model costs directly, so spend is harder to predict than a seat price
- Topping up OpenCode Zen credit adds a card processing fee of 4.4% plus $0.30 per transaction
- Zen model prices span a wide range, from $0.05 to $180 per million tokens depending on the model
Plans
Pricing
Kilo Code
- Free & Open Source $0 For individuals. Open-source VS Code, JetBrains and CLI extensions; usage is billed separately.
- Teams $15 Per user per month. Usage analytics, shared agent modes, shared BYOK, centralised billing, data privacy controls and priority support.
- Enterprise Custom SSO, OIDC and SCIM, audit logs, model and provider limits, a shared private gateway and SLA commitments.
- Kilo Pass From $19 Per month. Optional credit subscription for inference, at $19, $49 or $199, with up to 50 percent bonus credits.
OpenCode
- OpenCode $0 Open source under the MIT licence. You bring your own provider keys and pay them directly.
- OpenCode Zen Pay as you go Billed per million tokens, from $0.05 per million input tokens on the cheapest model up to $180 per million output tokens on the most expensive. Several models are free. Credit auto-reloads by $20 when the balance falls below $5, and top-ups add a card processing fee of 4.4% plus $0.30. Workspace and per-member monthly spending caps are available.
What users say
Review Scores · opens after launch
Kilo Code
- Ease of use
- Not rated yet
- User interface
- Not rated yet
- Onboarding
- Not rated yet
- Support and service
- Not rated yet
- Value for money
- Not rated yet
- Features
- Not rated yet
No reviews yet. Be the first to review this tool. Every review is checked for fairness before it appears, and the vendor cannot have one removed.
OpenCode
- Ease of use
- Not rated yet
- User interface
- Not rated yet
- Onboarding
- Not rated yet
- Support and service
- Not rated yet
- Value for money
- Not rated yet
- Features
- Not rated yet
No reviews yet. Be the first to review this tool. Every review is checked for fairness before it appears, and the vendor cannot have one removed.
Where this comes from
Where this comes from
Kilo Code https://kilo.ai · checked against the official source on 2026-09-10
OpenCode https://opencode.ai · checked against the official source on 2026-09-07
This table lists factual criteria taken from information the vendors publish themselves. For how we put it together, see the methodology.