SpecialistProvides superior reasoning and artifact generation for coding tasks, but lacks a dedicated native desktop development command center.
#1Google Antigravity records 16,054,109 monthly visits with +8.1% month-over-month growth and Freemium pricing. Modal records 1,196,021 monthly visits with +30.2% growth and Freemium, Contact for Pricing pricing.
Serverless cloud infrastructure for AI and data workloads
| Dimension / Metric | ||
|---|---|---|
| Official Domain | antigravity.google | modal.com |
| Pricing Model | Freemium | Freemium, Contact for Pricing |
| Monthly Visits | 16.05M (16,054,109) | 1.2M (1,196,021) |
| MoM Traffic Delta |
| +1.21M (+8.1%) |
| +277.18K (+30.2%) |
| Primary Market & Share | 🇮🇳 India (21.4%) | 🇺🇸 United States (43.9%) |
|---|
| Direct Visits / mo | 4.38M | 845.64K |
|---|
| User Rating | 4.6 | 4.8 |
|---|
| Supported Platforms | Website | Website |
|---|
Google's agent-first development platform for building and shipping software with AI agents
A desktop app, a full agentic IDE, a terminal-first CLI, editor extensions, and an SDK let you run Antigravity agents wherever you already work.
Group conversations into Projects and run several local agents at the same time, across multiple workspaces, rather than one at a time.
Agents produce designed artifacts such as plans and comprehensive verification tests so output can be reviewed, not just accepted.
Runs on Google's Gemini model line, including releases such as Gemini 4 Carbon, Gemini 4 Argon, and Gemini 3.8 Flash.
Serverless cloud infrastructure for AI and data workloads
Write plain Python, attach GPUs or containers, and deploy HTTPS endpoints that autoscale with traffic and scale to zero when idle.
Launch isolated, secure environments for coding agents, RL rollouts, and untrusted code, with sub-second starts and support for over a million concurrent sandboxes.
Run fine-tunes, LoRA, full training, and reinforcement learning on elastic single or multi-node GPU capacity with no quota requests.
Serve LLMs and image, video, or audio models through OpenAI-compatible endpoints, or bring your own inference stack and let Modal handle the infrastructure.
SpecialistProvides superior reasoning and artifact generation for coding tasks, but lacks a dedicated native desktop development command center.
#1
Offers a more mature polished AI-native coding experience, but lacks Google's specific native multi-agent command center ecosystem.

Enables rapid full-stack app building and deployment entirely in the cloud, but offers less granular local agentic control.
Deeply reads entire codebases to execute complex multi-file tasks, though integrated as an IDE plugin rather than standalone suite.
Delivers robust spec-driven engineering and autonomous verification workflows, though configured differently than Google's developer platform.

SpecialistExtremely fast serverless execution optimized specifically for generative media models rather than general Python code.
Provides flexible GPU infrastructure and serverless endpoints, though less focused on pure Python function decorators.
Cognition's autonomous software engineer that ships real pull requests

SpecialistFocuses heavily on managed open-source model inference APIs rather than arbitrary custom container execution.
Rent cloud GPUs by the second from a global marketplace
Delivers robust enterprise GPU clusters and managed inference, requiring more infrastructure setup than Modal's serverless approach.
Free / Open-sourceOpen-source development environment running multiple CLI coding agents in isolated git worktrees, but requires manual setup.

SpecialistProvides superior reasoning and artifact generation for coding tasks, but lacks a dedicated native desktop development command center.
Offers a more mature polished AI-native coding experience, but lacks Google's specific native multi-agent command center ecosystem.
Enables rapid full-stack app building and deployment entirely in the cloud, but offers less granular local agentic control.
Deeply reads entire codebases to execute complex multi-file tasks, though integrated as an IDE plugin rather than standalone suite.
Delivers robust spec-driven engineering and autonomous verification workflows, though configured differently than Google's developer platform.
SpecialistExtremely fast serverless execution optimized specifically for generative media models rather than general Python code.
Provides flexible GPU infrastructure and serverless endpoints, though less focused on pure Python function decorators.
SpecialistFocuses heavily on managed open-source model inference APIs rather than arbitrary custom container execution.
Rent cloud GPUs by the second from a global marketplace
Delivers robust enterprise GPU clusters and managed inference, requiring more infrastructure setup than Modal's serverless approach.
Free / Open-sourceOpen-source development environment running multiple CLI coding agents in isolated git worktrees, but requires manual setup.