SAVRN Model Hub · Comparisons
bert-base-uncased vs camembert-base
Bert-base-uncased has 110M parameters and camembert-base has 111M parameters; bert-base-uncased is released under Apache License 2.0 and camembert-base under MIT License; at 16-bit, bert-base-uncased needs about 0.3 GB (1x MI300X from $1.85 an hour) and camembert-base about 0.3 GB (1x MI300X from $1.85 an hour).
| Field | bert-base-uncased google-bert/bert-base-uncased | camembert-base almanach/camembert-base |
|---|---|---|
| Publisher | BERT community | ALMAnaCH (Inria) |
| Task | Fill mask | Fill mask |
| Modality | Text | Text |
| Parameters, as reported | 110M parameters | 111M parameters |
| Architecture | BertForMaskedLM | CamembertForMaskedLM |
| Library | transformers | transformers |
| Context length | 512 tokens | 514 tokens |
| Repository size | 3.5 GB | 1.4 GB |
| Artifact formats | safetensors, onnx, pytorch, coreml, jax, rust, tf | safetensors, pytorch, tf |
| License | apache-2.0 | mit |
| Access | Open weights, no gate | Open weights, no gate |
| Memory at 16-bit (weights and margin) | 0.3 GB | 0.3 GB |
| Cheapest GPUs at 16-bit, per hour | 1x MI300X, $1.85 | 1x MI300X, $1.85 |
| Memory at 4-bit (weights and margin) | 0.1 GB | 0.1 GB |
| Cheapest GPUs at 4-bit, per hour | 1x MI300X, $1.85 | 1x MI300X, $1.85 |
| Revision viewed | 86b5e0934494 | a75967561c78 |
| Downloads reported by the hub | 47.2M | 989.9k |
| Last observed | 2026-09-18 | 2026-09-18 |
An evaluation row appears only where at least two of these models report the same benchmark with the same stated configuration, metric, unit and setup. Different evaluators stay named in each cell. Values are shown as reported: no unit conversion, no ranking.
Questions
Which is larger, bert-base-uncased or camembert-base?
camembert-base (111M parameters) is larger than bert-base-uncased (110M parameters), by the parameter counts their publishers report.
Which is cheaper to run, bert-base-uncased or camembert-base?
At 4-bit, bert-base-uncased fits on 1x MI300X from $1.85 an hour and camembert-base on 1x MI300X from $1.85 an hour, at the lowest on-demand prices the SAVRN Index lists.
Can I use bert-base-uncased commercially?
Yes. bert-base-uncased is released under Apache License 2.0. The Apache License 2.0 is a permissive open-source license. It permits commercial use, modification and redistribution. It requires keeping the license and copyright notices and any NOTICE file, stating significant changes, and it includes an express patent grant from contributors.
Can I use camembert-base commercially?
Yes. camembert-base is released under MIT License. The MIT License is a short permissive license. It permits commercial use, modification and redistribution, provided the copyright notice and permission notice are included.