SAVRN Model Hub · Comparisons
embeddinggemma-300m vs paraphrase-multilingual-mpnet-base-v2
Embeddinggemma-300m has 303M parameters and paraphrase-multilingual-mpnet-base-v2 has 278M parameters; embeddinggemma-300m is released under Gemma Terms of Use and paraphrase-multilingual-mpnet-base-v2 under Apache License 2.0; at 16-bit, embeddinggemma-300m needs about 0.7 GB (1x MI300X from $1.85 an hour) and paraphrase-multilingual-mpnet-base-v2 about 0.7 GB (1x MI300X from $1.85 an hour).
| Field | embeddinggemma-300m google/embeddinggemma-300m | paraphrase-multilingual-mpnet-base-v2 sentence-transformers/paraphrase-multilingual-mpnet-base-v2 |
|---|---|---|
| Publisher | Sentence Transformers | |
| Task | Sentence similarity | Sentence similarity |
| Modality | Text | Text |
| Parameters, as reported | 303M parameters | 278M parameters |
| Architecture | Gemma3TextModel | XLMRobertaModel |
| Library | sentence-transformers | sentence-transformers |
| Context length | Not stated | 514 tokens |
| Repository size | 1.3 GB | 10.9 GB |
| Artifact formats | safetensors | safetensors, onnx, openvino, pytorch, tf |
| License | gemma | apache-2.0 |
| Access | Access requested at publisher | Open weights, no gate |
| Memory at 16-bit (weights and margin) | 0.7 GB | 0.7 GB |
| Cheapest GPUs at 16-bit, per hour | 1x MI300X, $1.85 | 1x MI300X, $1.85 |
| Memory at 4-bit (weights and margin) | 0.2 GB | 0.2 GB |
| Cheapest GPUs at 4-bit, per hour | 1x MI300X, $1.85 | 1x MI300X, $1.85 |
| Revision viewed | 57c266a740f5 | 4328cf26390c |
| Downloads reported by the hub | 2.6M | 9.8M |
| 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.
Other Reported Results
These results are listed for each model on its own, because the conditions needed to compare them are not stated or do not match. Two results that leave a condition blank are not assumed to share it.
embeddinggemma-300m
| Benchmark | Conditions | Result | Reported by | Revision | Date |
|---|---|---|---|---|---|
| mteb/arguana | Task ArguAnaMetric ArguAnaSetup Obtained using MTEB v1.34.7Comparison conditions not established | 71.535 | Obtained using MTEB v1.34.7 Reported by a third party |
Evaluated revision not stated | 2026-03-05 |
| mteb/arguana | Task ArguAna_default_testMetric ArguAna_default_testSetup Obtained using MTEB v1.34.7Comparison conditions not established | 71.535 | Obtained using MTEB v1.34.7 Reported by a third party |
Evaluated revision not stated | 2026-03-05 |
paraphrase-multilingual-mpnet-base-v2
| Benchmark | Conditions | Result | Reported by | Revision | Date |
|---|---|---|---|---|---|
| mteb/arguana | Task ArguAnaMetric ArguAnaSetup Obtained using MTEB v1.12.75Comparison conditions not established | 48.908 | Obtained using MTEB v1.12.75 Reported by a third party |
Evaluated revision not stated | 2026-03-05 |
| mteb/arguana | Task ArguAna_default_testMetric ArguAna_default_testSetup Obtained using MTEB v1.12.75Comparison conditions not established | 48.908 | Obtained using MTEB v1.12.75 Reported by a third party |
Evaluated revision not stated | 2026-03-05 |
SAVRN's Notes on embeddinggemma-300m
Retrieval is where this one earns its place: every document indexed and every query served passes through it, and at 0.7 GB of memory at 16-bit, EmbeddingGemma-300m never justifies a GPU on its own. Google built it from Gemma 3 and aimed it at phones, laptops and desktops, so share a card with the generator, or skip the GPU. The Index floor, one MI300X with 192 GB at $1.85 per hour, is a card you would barely touch.
Read the license twice. Gemma Terms of Use allow commercial use and redistribution only subject to the Gemma Prohibited Use Policy, and those restrictions pass to anyone you distribute it to, a flow-down obligation for any product built on it. Access is gated; the publisher grants it before the 19 files arrive. No context length is listed, so test your chunk size against the checkpoint dated September 25, 2025.
Questions
Which is larger, embeddinggemma-300m or paraphrase-multilingual-mpnet-base-v2?
embeddinggemma-300m (303M parameters) is larger than paraphrase-multilingual-mpnet-base-v2 (278M parameters), by the parameter counts their publishers report.
Which is cheaper to run, embeddinggemma-300m or paraphrase-multilingual-mpnet-base-v2?
At 4-bit, embeddinggemma-300m fits on 1x MI300X from $1.85 an hour and paraphrase-multilingual-mpnet-base-v2 on 1x MI300X from $1.85 an hour, at the lowest on-demand prices the SAVRN Index lists.
Can I use embeddinggemma-300m commercially?
Yes, with conditions. embeddinggemma-300m is released under Gemma Terms of Use. Gemma models are released under Google's Gemma Terms of Use, which permit commercial use and redistribution subject to the Gemma Prohibited Use Policy, whose restrictions must be passed on to anyone the model is distributed to.
Can I use paraphrase-multilingual-mpnet-base-v2 commercially?
Yes. paraphrase-multilingual-mpnet-base-v2 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.