Granite is IBM’s open-weight language model family, with dense and Mixture-of-Experts variants tuned for enterprise workloads, code generation, and retrieval-augmented generation.
See all models from IBMModels in family
1
Open weight
1
API only
0
Avg score
60.8
Top benchmark
—
Total HF downloads
97.6K
Primary modality
Text
First release
Mar 2026
Latest release
Mar 2026
Every release in the Granite family, ranked by composite score across benchmarks, popularity, efficiency, and versatility.
| # | Model | Modality | Score | Params | Released |
|---|---|---|---|---|---|
| 1 | audio | BB60.8 | 2B | Mar 2026 |
When each release shipped, newest first. Useful for tracking version cadence.
Composite grades across this family. Higher is better, blending benchmarks, popularity, and efficiency.
Models with downloadable weights, ranked by composite score.
| # | Model | Modality | Score | Params | Released |
|---|---|---|---|---|---|
| 1 | audio | BB60.8 | 2B | Mar 2026 |
Other model series from this lab worth comparing.
The Granite family is a series of AI models from IBM. This page lists every release in the family with its benchmark scores, parameter count, and hardware requirements.
By composite score, Granite 4.0 1B Speech is currently the top model in the family. For local inference, match the parameter count to your VRAM budget. For quality, pick the highest scorer that fits.
See the open-weight section above for models you can run locally. The API-only section lists closed releases that must be accessed through the provider’s API.
Spin up an instance in the cloud, or pick local hardware that fits.
Full Directory
Open the full directory to filter by hardware, capability, license, and benchmark score.
Or Browse by Provider
See every model from a lab side by side, with aggregate stats. Useful when you want a cross-family view of one provider.
