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SAVRN Model Hub · Comparisons

embeddinggemma-300m vs gte-multilingual-base

Embeddinggemma-300m has 303M parameters and gte-multilingual-base has 305M parameters; embeddinggemma-300m is released under Gemma Terms of Use and gte-multilingual-base under Apache License 2.0; at 16-bit, embeddinggemma-300m needs about 0.7 GB (1x MI300X from $1.85 an hour) and gte-multilingual-base about 0.7 GB (1x MI300X from $1.85 an hour).

Published metadata for 2 models, each read from its own repository.
Field embeddinggemma-300m
google/embeddinggemma-300m
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 2.6M 1.4M
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

BenchmarkConditionsResultReported byRevisionDate
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

gte-multilingual-base

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

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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