LLM Reference

Antigravity Models by Google DeepMind

Google DeepMindProprietary
1 model2026Up to 1.05m ctx

Details

ResearcherGoogle DeepMind
LicenseProprietary
Commercial useCommercial use: conditional
Models1
Released2026
Max context1.05m

Capabilities

VisionAll models
MultimodalAll models
ReasoningAll models
Tool UseAll models
Code ExecutionAll models

Links

Website

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 based on each model's tracked capabilities, context window, release date, and replacement status.

1 in view

Use when the workload needs agentic, 1.05m context, and reasoning.

2026-05agentic1.05m contextreasoning

Release Timeline

1 release group
2026-05
1 current
Antigravity Agent
agentic1.05m contextreasoning
Current

Specifications(1 models)

Antigravity model specifications comparison
ModelReleasedContextVisionMultimodalReasoningTool UseCode Exec
Antigravity Agent2026-051.05mYesYesYesYesYes

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 T5Gemma?
Antigravity by Google DeepMind is strongest where you need agentic, while T5Gemma by Google DeepMind is the closest related family to check for agent workflows and tool use. Antigravity has 1 listed variant and reaches up to 1.05m 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 1.05m context and reasoning, tool use, and multimodal inputs.