IBM Granite 4.0 vs Google Antigravity

Which one should you pick? Here's the full breakdown.

Our Pick

IBM Granite 4.0

A
8.2/10

IBM's enterprise-focused open-weight family -- Granite 4.0 hybrid Mamba-2 + transformer architecture (70-80% memory reduction vs pure transformer), 3B to 32B sizes, Apache 2.0. First open model family to secure ISO 42001 certification. Nano 350M runs on CPU with 8-16GB RAM. 3B Vision variant landed 2026-04-01

Google Antigravity

A
8.0/10

Google's agent-first AI IDE -- deploys up to 5 autonomous coding agents in parallel on a VS Code fork

Powered by Gemini 3.1 Pro / Claude Opus 4.6 / GPT-OSS 120B (multi-model)

CategoryIBM Granite 4.0Google Antigravity
Ease of Use7.08.0
Output Quality8.08.5
Value9.56.0
Features8.59.5
Overall8.28.0

Pricing Comparison

FeatureIBM Granite 4.0Google Antigravity
Free TierYesYes
Starting Price$0$0

Which Should You Pick?

Pick IBM Granite 4.0 if...

  • Better value for money (9.5/10)

Regulated-industry enterprises (healthcare, finance, government) who need Apache 2.0 open-weight models with ISO 42001 certification. Also ideal for edge deployments where Granite Nano (350M / 1.5B) is one of the few open models that runs realistically on CPU. And for any Mamba-hybrid research or low-memory production use where the 70-80% memory reduction actually changes the economics.

Visit IBM Granite 4.0

Pick Google Antigravity if...

  • Easier to use (8 vs 7)
  • More features (9.5 vs 8.5)

Developers working on large, multi-file projects who want to parallelize their workflow. If you regularly work on 3-5 tasks simultaneously (fix a bug, add a feature, write tests, refactor), Antigravity's multi-agent architecture is unmatched.

Visit Google Antigravity

Our Verdict

IBM Granite 4.0 and Google Antigravity are extremely close overall. Your choice comes down to specific needs -- IBM Granite 4.0 is better for regulated-industry enterprises (healthcare, finance, government) who need apache 2, while Google Antigravity works best for developers working on large, multi-file projects who want to parallelize their workflow.