Arcee Trinity-Large-Thinking vs Google Antigravity

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

Our Pick

Arcee Trinity-Large-Thinking

A
8.1/10

Arcee AI's US-made open-weight frontier reasoning model -- launched 2026-04-01. 398B total params, ~13B active. Sparse MoE (256 experts, 4 active = 1.56% routing). Apache 2.0, trained from scratch. #2 on PinchBench trailing only Claude 3.5 Opus. ~96% cheaper than Opus-4.6 on agentic tasks

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)

CategoryArcee Trinity-Large-ThinkingGoogle Antigravity
Ease of Use6.08.0
Output Quality9.08.5
Value9.56.0
Features8.09.5
Overall8.18.0

Pricing Comparison

FeatureArcee Trinity-Large-ThinkingGoogle Antigravity
Free TierYesYes
Starting Price$0$0

Which Should You Pick?

Pick Arcee Trinity-Large-Thinking if...

  • Better value for money (9.5/10)

Teams that need a US-made, Apache 2.0, frontier-tier open-weight model and can either rent multi-GPU infrastructure or pay OpenRouter API pricing at ~$0.90/M output tokens. Particularly valuable for US government, defense, or regulated enterprise contexts where country-of-origin matters for procurement. Also good for agentic reasoning workloads where the ~96% cost savings vs Claude Opus actually changes what you can build.

Visit Arcee Trinity-Large-Thinking

Pick Google Antigravity if...

  • Easier to use (8 vs 6)
  • More features (9.5 vs 8)

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

Arcee Trinity-Large-Thinking and Google Antigravity are extremely close overall. Your choice comes down to specific needs -- Arcee Trinity-Large-Thinking is better for teams that need a us-made, apache 2, while Google Antigravity works best for developers working on large, multi-file projects who want to parallelize their workflow.