Antigravity 2.0 vs Kilo

Antigravity 2.0 and Kilo are both coding assistants tracked by AIDiveForge. Below is a side-by-side comparison of pricing, capabilities, platforms, and ownership — sourced from each tool's live website and verified before publishing.

Antigravity 2.0

The vendor describes Project IDX as a browser-based IDE where agents handle multi-step coding tasks end-to-end: writing code, executing it, observing what breaks in a live preview, and self-correcting before handing back control. Multi-model support means you are not locked to a single provider when one model handles your stack better than another. The free tier exists but carries usage caps that surface quickly on longer agentic runs — teams hitting those caps mid-task face a hard stop, not a graceful queue. Browser-based architecture removes local setup friction but also removes offline access and the deep editor customization that engineers who have spent years tuning their environment tend to miss.

Kilo

Kilo Code is an open-source (Apache 2.0) coding agent that runs inside VS Code, JetBrains IDEs, and the CLI, with cloud agent and Slack options on top. It ships five specialized modes — Code, Architect, Debug, Ask, and Custom — so you're not forcing a general-purpose chat model to plan a feature and then write it in the same session. The 500+ model catalog routes through Kilo Gateway at zero markup, which means your token bill reflects actual model pricing. That architecture holds up well for single-developer workflows and small teams. Where it gets complicated is at the org level: team-wide parallel workflows using isolated agent worktrees are a newer surface, and community reports suggest the tooling around coordinating those agents is still maturing.

Attribute	Antigravity 2.0	Kilo
Pricing	Paid	Paid
Price	$0-$200/month	Free (extension); Kilo Pass $19–$199/month (credits); KiloClaw $55/month (cloud agent)
Free trial	No	14 days
Open source	No	No
Has API	Yes	Yes
Self-hosted option	No	Yes
Platforms	macOS, Windows, Linux, Web-based	VS Code, JetBrains (IntelliJ, PyCharm, WebStorm), CLI, Cloud Agents, Slack, Cursor, Windsurf
Released	2025-11	2025-03
Pros	Self-verifying execution loop — the agent runs code, observes live browser output, and revises without waiting for you to relay what broke, which means you stop being the error-relay between your AI tool and your test environment. Multi-model support in a single environment, so switching the underlying model when one handles your framework better is a configuration change rather than a tool migration. Browser-based access with no local setup, which means onboarding a new developer or spinning up a fresh environment takes minutes rather than an afternoon of dependency resolution. Multi-agent task splitting lets separate agents handle discrete parts of a complex task in parallel, cutting the wall-clock time on multi-step workflows that a single-agent loop would process serially. API access means the agentic core can be called from external pipelines, so teams integrating AI into CI or build systems are not forced to use only the browser interface.	Zero-markup model routing across 500+ providers, so your token cost reflects actual model pricing and switching models when costs spike is a config change rather than a platform migration. Five specialized agent modes (Code, Architect, Debug, Ask, Custom) split planning from execution, so you're not asking the same agent session to design an architecture and then write the implementation — context stays focused. Apache 2.0 core with self-hosted and air-gap deployment options, which means organizations with data residency requirements can run the agent without sending code to external infrastructure. BYOK support across 20+ providers according to the docs, so teams with existing enterprise model agreements don't pay a second time through the platform. KiloClaw managed cloud agents deploy without SSH, Docker, or yaml configuration, so teams that want 24/7 autonomous task execution don't need to maintain that infrastructure themselves.
Cons	Free tier usage caps terminate agentic runs mid-task when a multi-step job exceeds the allotment — there is no graceful queue, the session stops, and teams restart manually or upgrade to a paid tier before they have fully evaluated whether the tool fits. No self-hosted option and no offline access: teams with data residency requirements, air-gapped environments, or security policies restricting cloud-only tooling cannot use this at all, and those teams move to locally-deployable alternatives rather than filing exception requests. Browser-based execution means editor customization stops at what Google exposes in the interface — developers who depend on a specific plugin, language server configuration, or terminal workflow find the ceiling fast, and the path forward is maintaining a second local environment for the tasks IDX cannot handle. Complex conditional branching across more than a few agents strains the multi-agent coordination layer; community reports describe tasks with deep dependency chains producing inconsistent results, and teams handling those workflows add manual checkpoints that undercut the automation they bought the tool to achieve.	Multi-agent parallel workflows using isolated worktrees are documented as a feature, but the tooling for coordinating agents across a shared codebase is less mature than the single-developer IDE flow — teams hitting this at scale report needing to build their own coordination layer on top. The five-mode system requires you to consciously switch contexts between planning and execution. Teams that want a single agent to move fluidly from architecture to implementation without manual mode switching find this model adds friction, and at that point tools with a more unified agent loop become the alternative they evaluate. KiloClaw (the managed cloud agent layer) is a paid-only feature, meaning teams that want the 'deploy in 60 seconds, no infrastructure' path are outside the free tier — the self-hosted option requires enough DevOps capacity to stand it up.

Bottom line

Antigravity 2.0 and Kilo are closely matched on pricing model, openness, and API availability — pick by feature set and platform support in the table above.

Frequently asked questions

What is the difference between Antigravity 2.0 and Kilo?

Antigravity 2.0 is Paid, while Kilo is Paid. Compare pricing, free trial, API, platforms, and pros/cons in the table above on AIDiveForge.

Is Antigravity 2.0 better than Kilo?

It depends on your workflow. Use the side-by-side attributes (pricing, open source, API, self-hosted, platforms) to decide. AIDiveForge does not rank a universal winner — we publish verified facts so you can choose.