IBM Granite 4.0
Free tier available
- Self-hosted (Apache 2.0)$0
- watsonx.ai (IBM-hosted)Usage-based/per 1M tokens
Our pickIBM Granite 4.0

Llama 4 (Meta)
Tier-list head-to-head. IBM Granite 4.0 takes the A-tier slot — here's the breakdown.
Spec sheet
| Tier | A-tierwin | B-tier |
| Overall score | 8.2 / 10win | 7.9 / 10 |
| Free tier | Yes | Yes |
| Starting price | $0 | $0 |
| Best for | Regulated-industry enterprises (healthcare, finance, government) who need Apache 2. | Developers and teams who need a permissively-licensed open-weights model with strong tooling, long context … |
| Last reviewed | 2026-04-17 | 2026-04-13 |
Head-to-head
Rated 1-10 on the same rubric across all 130 tools we cover.
What you'll pay
Look past the headline number -- entry-tier limits drive most cost surprises.
Free tier available
Free tier available
Llama 4 Maverick (17B/400B MoE) benchmarks — IBM Granite 4.0 has no published benchmarks
| Benchmark | Description | Score |
|---|---|---|
| MMLU-Pro | Harder multi-subject reasoning | 80.5% |
| GPQA Diamond | Graduate-level science questions | 69.8% |
| HumanEval | Python code generation | 88% |
| MMMU (multimodal) | 73.4% |
The decision
Use-case anchors and category strengths, side by side.
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 4.0Developers 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)Bottom line
IBM Granite 4.0 (A-tier, 8.2/10) and Llama 4 (Meta) (B-tier, 7.9/10) are within margin-of-error of each other on overall score. There's no decisive winner -- the right pick comes down to how you'll actually use the tool, not which scored higher in the abstract. We rate them on the same rubric (ease of use, output quality, value, features), and on this pair the rubric is calling it a draw.
Pricing-wise, both tools have a free tier (IBM Granite 4.0 starts $0, Llama 4 (Meta) starts $0), so you can test either without committing. Compare what each free tier actually unlocks -- usage caps, model access, and feature gates differ a lot more than the headline price suggests, especially as both vendors have tightened limits in 2026.
By use case: pick IBM Granite 4.0 when regulated-industry enterprises (healthcare, finance, government) who need apache 2. Pick Llama 4 (Meta) when developers and teams who need a permissively-licensed open-weights model with strong tooling, long context (scout), or multimodal (maverick). The two tools aren't fighting for the same person -- they're aiming at adjacent jobs that occasionally overlap. If you're squarely in IBM Granite 4.0's lane, the tier-list ranking and the use-case fit point the same direction; if you're in Llama 4 (Meta)'s lane, the score gap matters less than the fit.
Bottom line: this pair is a coin flip on raw scores. Choose by use-case fit, free-tier availability, and which one you can actually try without committing. Re-evaluate in 60-90 days -- both vendors are shipping fast in 2026.
Keep digging
Full IBM Granite 4.0 review
Tier A · 8.2/10
Full Llama 4 (Meta) review
Tier B · 7.9/10
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Built from our daily AI-tool sweep, last touched April 17, 2026. Honest tier-list reviews — no affiliate-link pieces disguised as advice. See the rubric or how we review.