IBM Granite 4.0 vs Llama 4 (Meta)

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

Llama 4 (Meta)

B
7.9/10

Meta's open-weights flagship family -- Scout (10M context), Maverick (multimodal 400B MoE), Behemoth in preview

CategoryIBM Granite 4.0Llama 4 (Meta)
Ease of Use7.05.0
Output Quality8.08.5
Value9.59.0
Features8.59.0
Overall8.27.9

Pricing Comparison

FeatureIBM Granite 4.0Llama 4 (Meta)
Free TierYesYes
Starting Price$0$0

Benchmark Head-to-Head

Llama 4 Maverick (17B/400B MoE) benchmarks — IBM Granite 4.0 has no published benchmarks

BenchmarkScore
MMLU-Pro80.5%
GPQA Diamond69.8%
HumanEval88%
MMMU (multimodal)73.4%

Which Should You Pick?

Pick IBM Granite 4.0 if...

  • Easier to use (7 vs 5)

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 Llama 4 (Meta) if...

Developers and teams who need a permissively-licensed open-weights model with strong tooling, long context (Scout), or multimodal (Maverick). Safe default choice given the ecosystem.

Visit Llama 4 (Meta)

Our Verdict

IBM Granite 4.0 and Llama 4 (Meta) 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 Llama 4 (Meta) works best for developers and teams who need a permissively-licensed open-weights model with strong tooling, long context (scout), or multimodal (maverick).