IBM Granite 4.0 vs Augment Code Intent

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

Augment Code Intent

A
8.0/10

Spec-driven multi-agent orchestration for code -- coordinator + implementor agents in isolated git worktrees + verifier. Works with Augment's Auggie, Claude Code, Codex, and OpenCode. Public beta 2026-02-10

CategoryIBM Granite 4.0Augment Code Intent
Ease of Use7.07.0
Output Quality8.08.0
Value9.58.0
Features8.59.0
Overall8.28.0

Pricing Comparison

FeatureIBM Granite 4.0Augment Code Intent
Free TierYesNo
Starting Price$0Included in Auggie subscription

Which Should You Pick?

Pick IBM Granite 4.0 if...

  • Better value for money (9.5/10)
  • Has a free tier

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 Augment Code Intent if...

Engineering teams already using Augment Code's Auggie or running mixed Claude-Code + Codex workflows who want higher-level orchestration than writing LangGraph graphs from scratch. Also teams that want git-worktree-isolated parallel agent work with a verifier in the loop.

Visit Augment Code Intent

Our Verdict

IBM Granite 4.0 and Augment Code Intent 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 Augment Code Intent works best for engineering teams already using augment code's auggie or running mixed claude-code + codex workflows who want higher-level orchestration than writing langgraph graphs from scratch.