# embeddinggemma-300m vs gte-multilingual-base: Specs and GPU Cost
Source: https://savrn.com/models/compare/embeddinggemma-300m-vs-gte-multilingual-base
Markdown alternate of the page above; the site index is https://savrn.com/llms.txt

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| Field | [embeddinggemma-300m](https://savrn.com/models/embeddinggemma-300m) google/embeddinggemma-300m | [gte-multilingual-base](https://savrn.com/models/gte-multilingual-base) Alibaba-NLP/gte-multilingual-base |
| --- | --- | --- |
| Publisher | Google | Alibaba-NLP |
| Task | Sentence similarity | Sentence similarity |
| Modality | Text | Text |
| Parameters, as reported | 303M parameters | 305M parameters |
| Architecture | Gemma3TextModel | NewModel |
| Library | sentence-transformers | sentence-transformers |
| Context length | Not stated | 8,192 tokens |
| Repository size | 1.3 GB | 629.6 MB |
| Artifact formats | safetensors | safetensors |
| 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 | 9bbca17d9273 |
| Downloads reported by the hub | 2.5M | 1.1M |
| Last observed | 2026-10-23 | 2026-10-23 |

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](https://github.com/embeddings-benchmark/mteb/) 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](https://github.com/embeddings-benchmark/mteb/) Reported by a third party | Evaluated revision not stated | 2026-03-05 |

### gte-multilingual-base

| Benchmark | Conditions | Result | Reported by | Revision | Date |
| --- | --- | --- | --- | --- | --- |
| MTEB 8TagsClustering | Configuration defaultTask ClusteringMetric v_measureComparison conditions not established | 33.6668 | [Alibaba-NLP](https://huggingface.co/Alibaba-NLP/gte-multilingual-base) Publisher reported | Evaluated revision not stated | — |
| MTEB AFQMC | Configuration defaultTask STSMetric cos_sim_spearmanComparison conditions not established | 43.5476 | [Alibaba-NLP](https://huggingface.co/Alibaba-NLP/gte-multilingual-base) Publisher reported | Evaluated revision not stated | — |
| MTEB ATEC | Configuration defaultTask STSMetric cos_sim_spearmanComparison conditions not established | 48.9119 | [Alibaba-NLP](https://huggingface.co/Alibaba-NLP/gte-multilingual-base) Publisher reported | Evaluated revision not stated | — |
| MTEB AllegroReviews | Configuration defaultTask ClassificationMetric accuracyComparison conditions not established | 41.6899 | [Alibaba-NLP](https://huggingface.co/Alibaba-NLP/gte-multilingual-base) Publisher reported | Evaluated revision not stated | — |
| MTEB AlloProfClusteringP2P | Configuration defaultTask ClusteringMetric v_measureComparison conditions not established | 54.2024 | [Alibaba-NLP](https://huggingface.co/Alibaba-NLP/gte-multilingual-base) Publisher reported | Evaluated revision not stated | — |
| MTEB AlloProfClusteringS2S | Configuration defaultTask ClusteringMetric v_measureComparison conditions not established | 44.3408 | [Alibaba-NLP](https://huggingface.co/Alibaba-NLP/gte-multilingual-base) Publisher reported | Evaluated revision not stated | — |
| MTEB AlloprofReranking | Configuration defaultTask RerankingMetric mapComparison conditions not established | 64.915 | [Alibaba-NLP](https://huggingface.co/Alibaba-NLP/gte-multilingual-base) Publisher reported | Evaluated revision not stated | — |
| MTEB AlloprofRetrieval | Configuration defaultTask RetrievalMetric ndcg_at_10Comparison conditions not established | 53.638 | [Alibaba-NLP](https://huggingface.co/Alibaba-NLP/gte-multilingual-base) Publisher reported | Evaluated revision not stated | — |
| MTEB AmazonCounterfactualClassification (en) | Configuration enTask ClassificationMetric accuracyComparison conditions not established | 75.9552 | [Alibaba-NLP](https://huggingface.co/Alibaba-NLP/gte-multilingual-base) Publisher reported | Evaluated revision not stated | — |
| MTEB AmazonPolarityClassification | Configuration defaultTask ClassificationMetric accuracyComparison conditions not established | 80.7176 | [Alibaba-NLP](https://huggingface.co/Alibaba-NLP/gte-multilingual-base) Publisher reported | Evaluated revision not stated | — |
| MTEB AmazonReviewsClassification (de) | Configuration deTask ClassificationMetric accuracyComparison conditions not established | 40.108 | [Alibaba-NLP](https://huggingface.co/Alibaba-NLP/gte-multilingual-base) Publisher reported | Evaluated revision not stated | — |
| MTEB AmazonReviewsClassification (en) | Configuration enTask ClassificationMetric accuracyComparison conditions not established | 43.642 | [Alibaba-NLP](https://huggingface.co/Alibaba-NLP/gte-multilingual-base) Publisher reported | Evaluated revision not stated | — |
| MTEB AmazonReviewsClassification (es) | Configuration esTask ClassificationMetric accuracyComparison conditions not established | 40.17 | [Alibaba-NLP](https://huggingface.co/Alibaba-NLP/gte-multilingual-base) Publisher reported | Evaluated revision not stated | — |
| MTEB AmazonReviewsClassification (fr) | Configuration frTask ClassificationMetric accuracyComparison conditions not established | 39.568 | [Alibaba-NLP](https://huggingface.co/Alibaba-NLP/gte-multilingual-base) Publisher reported | Evaluated revision not stated | — |
| MTEB AmazonReviewsClassification (ja) | Configuration jaTask ClassificationMetric accuracyComparison conditions not established | 35.75 | [Alibaba-NLP](https://huggingface.co/Alibaba-NLP/gte-multilingual-base) Publisher reported | Evaluated revision not stated | — |
| MTEB AmazonReviewsClassification (zh) | Configuration zhTask ClassificationMetric accuracyComparison conditions not established | 33.342 | [Alibaba-NLP](https://huggingface.co/Alibaba-NLP/gte-multilingual-base) Publisher reported | Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric ndcg_at_10Comparison conditions not established | 58.231 | [Alibaba-NLP](https://huggingface.co/Alibaba-NLP/gte-multilingual-base) Publisher reported | Evaluated revision not stated | — |
| MTEB ArguAna-PL | Configuration defaultTask RetrievalMetric ndcg_at_10Comparison conditions not established | 53.166 | [Alibaba-NLP](https://huggingface.co/Alibaba-NLP/gte-multilingual-base) Publisher reported | Evaluated revision not stated | — |
| MTEB ArxivClusteringP2P | Configuration defaultTask ClusteringMetric v_measureComparison conditions not established | 46.019 | [Alibaba-NLP](https://huggingface.co/Alibaba-NLP/gte-multilingual-base) Publisher reported | Evaluated revision not stated | — |
| MTEB ArxivClusteringS2S | Configuration defaultTask ClusteringMetric v_measureComparison conditions not established | 41.0663 | [Alibaba-NLP](https://huggingface.co/Alibaba-NLP/gte-multilingual-base) Publisher reported | Evaluated revision not stated | — |
| MTEB AskUbuntuDupQuestions | Configuration defaultTask RerankingMetric mapComparison conditions not established | 61.8751 | [Alibaba-NLP](https://huggingface.co/Alibaba-NLP/gte-multilingual-base) Publisher reported | Evaluated revision not stated | — |
| MTEB BIOSSES | Configuration defaultTask STSMetric cos_sim_spearmanComparison conditions not established | 81.2145 | [Alibaba-NLP](https://huggingface.co/Alibaba-NLP/gte-multilingual-base) Publisher reported | Evaluated revision not stated | — |
| MTEB BQ | Configuration defaultTask STSMetric cos_sim_spearmanComparison conditions not established | 51.7159 | [Alibaba-NLP](https://huggingface.co/Alibaba-NLP/gte-multilingual-base) Publisher reported | Evaluated revision not stated | — |
| MTEB BSARDRetrieval | Configuration defaultTask RetrievalMetric ndcg_at_10Comparison conditions not established | 26.115 | [Alibaba-NLP](https://huggingface.co/Alibaba-NLP/gte-multilingual-base) Publisher reported | Evaluated revision not stated | — |
| MTEB BUCC (de-en) | Configuration de-enTask BitextMiningMetric f1Comparison conditions not established | 98.6169 | [Alibaba-NLP](https://huggingface.co/Alibaba-NLP/gte-multilingual-base) Publisher reported | Evaluated revision not stated | — |
| MTEB BUCC (fr-en) | Configuration fr-enTask BitextMiningMetric f1Comparison conditions not established | 97.896 | [Alibaba-NLP](https://huggingface.co/Alibaba-NLP/gte-multilingual-base) Publisher reported | Evaluated revision not stated | — |
| MTEB BUCC (ru-en) | Configuration ru-enTask BitextMiningMetric f1Comparison conditions not established | 97.1239 | [Alibaba-NLP](https://huggingface.co/Alibaba-NLP/gte-multilingual-base) Publisher reported | Evaluated revision not stated | — |
| MTEB BUCC (zh-en) | Configuration zh-enTask BitextMiningMetric f1Comparison conditions not established | 98.1569 | [Alibaba-NLP](https://huggingface.co/Alibaba-NLP/gte-multilingual-base) Publisher reported | Evaluated revision not stated | — |
| MTEB Banking77Classification | Configuration defaultTask ClassificationMetric accuracyComparison conditions not established | 85.3604 | [Alibaba-NLP](https://huggingface.co/Alibaba-NLP/gte-multilingual-base) Publisher reported | Evaluated revision not stated | — |
| MTEB BiorxivClusteringP2P | Configuration defaultTask ClusteringMetric v_measureComparison conditions not established | 37.5904 | [Alibaba-NLP](https://huggingface.co/Alibaba-NLP/gte-multilingual-base) Publisher reported | Evaluated revision not stated | — |
| MTEB BiorxivClusteringS2S | Configuration defaultTask ClusteringMetric v_measureComparison conditions not established | 34.2147 | [Alibaba-NLP](https://huggingface.co/Alibaba-NLP/gte-multilingual-base) Publisher reported | Evaluated revision not stated | — |
| MTEB CBD | Configuration defaultTask ClassificationMetric accuracyComparison conditions not established | 62.52 | [Alibaba-NLP](https://huggingface.co/Alibaba-NLP/gte-multilingual-base) Publisher reported | Evaluated revision not stated | — |
| MTEB CDSC-E | Configuration defaultTask PairClassificationMetric cos_sim_apComparison conditions not established | 74.9013 | [Alibaba-NLP](https://huggingface.co/Alibaba-NLP/gte-multilingual-base) Publisher reported | Evaluated revision not stated | — |
| MTEB CDSC-R | Configuration defaultTask STSMetric cos_sim_spearmanComparison conditions not established | 90.3073 | [Alibaba-NLP](https://huggingface.co/Alibaba-NLP/gte-multilingual-base) Publisher reported | Evaluated revision not stated | — |
| MTEB CLSClusteringP2P | Configuration defaultTask ClusteringMetric v_measureComparison conditions not established | 37.9485 | [Alibaba-NLP](https://huggingface.co/Alibaba-NLP/gte-multilingual-base) Publisher reported | Evaluated revision not stated | — |
| MTEB CLSClusteringS2S | Configuration defaultTask ClusteringMetric v_measureComparison conditions not established | 38.1196 | [Alibaba-NLP](https://huggingface.co/Alibaba-NLP/gte-multilingual-base) Publisher reported | Evaluated revision not stated | — |
| MTEB CMedQAv1 | Configuration defaultTask RerankingMetric mapComparison conditions not established | 86.1095 | [Alibaba-NLP](https://huggingface.co/Alibaba-NLP/gte-multilingual-base) Publisher reported | Evaluated revision not stated | — |
| MTEB CMedQAv2 | Configuration defaultTask RerankingMetric mapComparison conditions not established | 87.2804 | [Alibaba-NLP](https://huggingface.co/Alibaba-NLP/gte-multilingual-base) Publisher reported | Evaluated revision not stated | — |
| MTEB CQADupstackAndroidRetrieval | Configuration defaultTask RetrievalMetric ndcg_at_10Comparison conditions not established | 47.099 | [Alibaba-NLP](https://huggingface.co/Alibaba-NLP/gte-multilingual-base) Publisher reported | Evaluated revision not stated | — |
| MTEB CQADupstackEnglishRetrieval | Configuration defaultTask RetrievalMetric ndcg_at_10Comparison conditions not established | 45.973 | [Alibaba-NLP](https://huggingface.co/Alibaba-NLP/gte-multilingual-base) Publisher reported | Evaluated revision not stated | — |

## 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.

SAVRN Research, 2026-09-18

## SAVRN's Notes on gte-multilingual-base

Embedding the documents behind a retrieval system is where we would put this one. At 16-bit the weights take 0.6 GB and working memory 0.7 GB, so hardware is not the decision. The cheapest setup in our data, one MI300X with 192 GB at $1.85 an hour on-demand, would sit well under one percent occupied. The 8,192-token window covers long passages, and a 250,048-entry vocabulary says it was built for many languages.

Apache 2.0 permits commercial use, modification and redistribution, so an index built from it is yours to sell access to, as long as the notices travel with any copy. Before committing, read the paper trail: arXiv:2407.19669 describes the model, and the file also points at arXiv:2402.03216, the BGE-M3 paper, and arXiv:2104.08663, the BEIR benchmark. No host prices appear in the SAVRN Index for this model; running it yourself is the price.

SAVRN Research, 2026-09-18

## Questions

### Which is larger, embeddinggemma-300m or gte-multilingual-base?

gte-multilingual-base (305M parameters) is larger than embeddinggemma-300m (303M parameters), by the parameter counts their publishers report.

### Which is cheaper to run, embeddinggemma-300m or gte-multilingual-base?

At 4-bit, embeddinggemma-300m fits on 1x MI300X from $1.85 an hour and gte-multilingual-base 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 gte-multilingual-base commercially?

Yes. gte-multilingual-base 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.

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