# bert-base-uncased vs camembert-base: Specs, License and GPU Cost Source: https://savrn.com/models/compare/bert-base-uncased-vs-camembert-base Markdown alternate of the page above; the site index is https://savrn.com/llms.txt --- | Field | [bert-base-uncased](https://savrn.com/models/bert-base-uncased) google-bert/bert-base-uncased | [camembert-base](https://savrn.com/models/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 | 29.7M | 990.3k | | Last observed | 2026-10-22 | 2026-10-15 | 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. ## SAVRN's Notes on bert-base-uncased Load this at 16-bit and it takes 0.3 GB of the 192 GB on the cheapest card in our table, one MI300X at $1.85 an hour on demand. Nobody buys a card for it; it rides on whatever is already running. The task it ships for is fill mask, the masked language modeling objective it was pretrained on with BookCorpus and Wikipedia, and 512 tokens is the most it takes in one pass. Apache 2.0 covers commercial use, modification and redistribution, provided you keep the license and copyright notices and state what you changed. Worth knowing before you commit: the team that released it never wrote a model card, so the card is secondhand, and the 16 files on disk total 3.45 GB across seven formats, safetensors to Rust, while the 16-bit weights you run are 0.2 GB. Pull one format, not the folder. SAVRN Research, 2026-09-18 ## SAVRN's Notes on camembert-base French is the reason to choose camembert-base over the other fill-mask models here. ALMAnaCH at Inria built it on the RoBERTa design with 111M parameters, a 514-token context and a 32,005-entry vocabulary, pretrained on the oscar corpus. At 16-bit the weights take 0.2 GB and the run needs 0.3 GB; 8-bit or 4-bit gets both to 0.1 GB. The cheapest setup we price, one MI300X with 192 GB at $1.85 an hour on-demand, leaves nearly all of that card free. MIT is as light as a license gets: commercial use, modification and redistribution, provided the copyright and permission notices ride along. The publisher offers six versions with different parameter counts and pretraining data, so confirm this base variant is the one your pipeline validated. The download runs 1.43 GB across nine files, well above the 0.2 GB of 16-bit weights, so budget disk for it. SAVRN Research, 2026-09-18 ## 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. ## Related Comparisons - [bert-base-uncased vs juribert-base](https://savrn.com/models/compare/bert-base-uncased-vs-juribert-base) - [bert-base-german-cased vs bert-base-uncased](https://savrn.com/models/compare/bert-base-german-cased-vs-bert-base-uncased) - [bert-base-cased vs camembert-base](https://savrn.com/models/compare/bert-base-cased-vs-camembert-base)