Antigravity Models by Google DeepMind
Google DeepMindProprietary
1 model2026Up to 1.0M ctx
About
Google DeepMind's managed agent family, delivered via the Gemini API Interactions API. Antigravity agents autonomously plan, execute, and verify tasks in Google-hosted sandboxes.
Current Variants
Use-when guidance is derived from seed capabilities, context, release, and replacement fields.
1 in view
Antigravity AgentCurrent
Use when the workload needs agentic, 1.0M context, and reasoning.
2026-05agentic1.0M contextreasoning
| Model | Use when | Released | Signals | Status |
|---|---|---|---|---|
| Antigravity Agent | Use when the workload needs agentic, 1.0M context, and reasoning. | 2026-05 | agentic1.0M contextreasoning | Current |
Release Timeline
1 release group2026-05
1 current
Antigravity Agent
Currentagentic1.0M contextreasoning
Specifications(1 models)
| Model | Released | Context | Vision | Multimodal | Reasoning | Tool Use | Code Exec |
|---|---|---|---|---|---|---|---|
| Antigravity Agent | 2026-05 | 1M | Yes | Yes | Yes | Yes | Yes |
Available From(1 provider)
Frequently Asked Questions
- What is Antigravity used for?
- Antigravity is used for agentic, agent, and coding. The family description and listed model capabilities point to those workloads as the best fit.
- How does Antigravity compare to Gemma 4?
- Antigravity by Google DeepMind is strongest where you need agentic, while Gemma 4 by Google DeepMind is the closest related family to check for vision and multimodal work. Antigravity has 1 listed variant and reaches up to 1.0M context, while Gemma 4 reaches up to 256K context, so compare the specs and pricing tables before choosing a production model.
- Which Antigravity model should I use?
- If price is the main constraint, use the pricing table first because Antigravity does not have complete provider pricing in the local data. For the most capable/latest local choice, evaluate Antigravity Agent with 1.0M context and reasoning, tool use, and multimodal inputs.
