Codeium vs Kilo Autocomplete
Codeium is another popular inline completion tool with a free tier and broad language support. Kilo is open source with transparent pay-per-token pricing and a provider fallback chain. Both handle inline completions well — the differences are in pricing, openness, and ecosystem.
Side-by-Side Comparison
How Kilo Autocomplete stacks up against Codeium
| Feature | Kilo Autocomplete | Codeium |
|---|---|---|
| Inline completions (ghost text + Tab) | ||
| Multi-line completions | ||
| Auto-trigger suggestions | Yes, configurable delay (default 3s) | Yes, automatic |
| Manual trigger keybinding | Cmd+L / Ctrl+L | Alt+\ or editor-specific |
| Model used | Codestral (Mistral AI) | Proprietary (not publicly disclosed) |
| Model flexibility | Fixed (Codestral only, for now) | Fixed (Codeium-managed) |
| Context window | Surrounding code context | Context-aware; repo-aware on higher tiers |
| Pricing model | Pay-per-token at provider cost | Free tier; Pro and Team tiers for advanced features |
| Open source | ||
| On-prem / self-hosted | Local models via Ollama/LM Studio in fallback chain | Enterprise on-prem deployment available |
Inline completions (ghost text + Tab)
Multi-line completions
Auto-trigger suggestions
Manual trigger keybinding
Model used
Model flexibility
Context window
Pricing model
Open source
On-prem / self-hosted
Where Kilo Stands Out
Open source
The Kilo extension is fully open source. You can read the autocomplete implementation, audit how context is gathered, and contribute. Codeium's completion engine is proprietary — you're trusting a black box.
Transparent pay-per-token pricing
Kilo charges per token at the model provider's cost with no markup. You see exactly what you're paying for. Codeium's free tier is generous, but once you need Pro features (Fast mode, advanced context), pricing becomes opaque compared to Kilo's per-token model.
Provider fallback chain
Kilo's autocomplete has a fallback chain: Mistral → Kilo Code → OpenRouter → Requesty → Bedrock → Hugging Face → LiteLLM → LM Studio → Ollama. If one provider is down, the next picks up. You can also route completions through local models for full offline support.
Part of a full agentic platform
Kilo Autocomplete is one feature in a broader agentic engineering platform: AI code generation, multi-step orchestration, cloud agents, deploy, and code review. Autocomplete fits into a workflow where your AI assistant understands your whole project.
The Bigger Picture
Autocomplete is one piece of the puzzle. Kilo Code is a full agentic engineering platform: AI-powered code generation, multi-step orchestration, cloud agents, deploy, code review, and more. Autocomplete fits into a workflow where your AI assistant understands your whole project, not just the line you're typing.