| Spec | Value |
|---|---|
| Maker | IBM |
| Models | H 1B (1.5B), H 350M (340M), 1B and 350M transformers |
| Sequence length | 128K (1B) / 32K (350M) tokens |
| License | Apache 2.0 |
From IBM's Hugging Face model card, whose IBM-run evaluation table is the source of the charts; the weights are open, so no API price is listed. · source
Estimate from the version's published specs, benchmarks and reviews, 0-5; scores are only comparable within one criteria year. Scored on the flagship Granite 4.0 H 1B from IBM's Hugging Face model card (opened this run). Context 128K tokens (the 350M models are 32K) scores 1; text-only input scores 1. Reasoning, coding, price and speed are null: no Artificial Analysis Intelligence Index entry or Terminal-Bench figure is published (IBM gives only MMLU-Pro 32.9 and GPQA 29.7, which the anchors cannot map), the open weights carry no list price, and no output speed is published. Three independent press pages were found (SiliconANGLE, It's FOSS, Open Source For You); all are launch coverage restating IBM's own benchmarks, not hands-on tests, and searches for hands-on reviews of the 1B/350M models found none.[2]
The tradeoff is a reduction in accuracy and contextual knowledge that is trimmed from the models to reduce their size.
The results show Granite Nano outperforming several similarly sized models when averaged across these domains.
Performance benchmarks show Granite 4.0 H 1B leading in instruction-following and function-calling tasks, achieving 78.5 on IFEval and 54.8 on Berkeley’s Function Calling Leaderboard v3, outperforming Qwen3 1.7B and Gemma 3 1B.
| IBM releases small open-source Granite 4 models for mobile devices and browsers - SiliconANGLE · Oct 29, 2025 | 0.10 |
|---|---|
| IBM Releases Its Smallest AI Models Yet (Available via Hugging Face) · Oct 29, 2025 | 0.50 |
| IBM Launches Granite 4 Nano Under Apache 2.0 For Local Generative AI - Open Source For You · Nov 4, 2025 | 0.60 |
Photos from readers, kept apart from the pin's sourced media. Rate what you ate or saw, and on a restaurant pin tag the dishes right on your photo.
The first entry is always the pin's source. Overall confidence is a weighted average of how firmly each reference supports the start and end times used above; a reference counts half as much for every 180 days older than the newest.
IBM's Hugging Face[2][3] blog post 'Granite 4.0 Nano: Just how small can you go?' and the granite-4.0-h-1b and granite-4.0-h-350m model cards give October 28, 2025; It's FOSS reported it the next day.
Model card of the hybrid 1B Nano model: Apache 2.0 and 'Release Date: October 28, 2025'.[1]
Model card of the hybrid 350M Nano model, same release date.[1]
Something missing or wrong? Say it in your own words: a link that backs this pin up, a different start or end date and why, or a fact it lacks or gets wrong. The AI checks it against this pin's sources, searches for better ones, and adds any page that backs you up. The pin's own sources still count most. A picture that shows something else, or shows it badly, is looked at too, and moved down or replaced.