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SAVRN Model Hub · Comparisons

embeddinggemma-300m vs multilingual-e5-base

Embeddinggemma-300m has 303M parameters and multilingual-e5-base has 278M parameters; embeddinggemma-300m is released under Gemma Terms of Use and multilingual-e5-base under MIT License; at 16-bit, embeddinggemma-300m needs about 0.7 GB (1x MI300X from $1.85 an hour) and multilingual-e5-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
multilingual-e5-base
intfloat/multilingual-e5-base
Publisher Google Liang Wang
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 5.3 GB
Artifact formats safetensors safetensors, onnx, openvino, pytorch
License gemma mit
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 d12875059715
Downloads reported by the hub 2.6M 7.6M
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

multilingual-e5-base

BenchmarkConditionsResultReported byRevisionDate
MTEB AmazonCounterfactualClassification (de) Configuration deTask ClassificationMetric accuracyComparison conditions not established 71.7238 intfloat
Publisher reported
Evaluated revision not stated
MTEB AmazonCounterfactualClassification (de) Configuration deTask ClassificationMetric apComparison conditions not established 82.2209 intfloat
Publisher reported
Evaluated revision not stated
MTEB AmazonCounterfactualClassification (de) Configuration deTask ClassificationMetric f1Comparison conditions not established 69.9553 intfloat
Publisher reported
Evaluated revision not stated
MTEB AmazonCounterfactualClassification (en) Configuration enTask ClassificationMetric accuracyComparison conditions not established 78.9701 intfloat
Publisher reported
Evaluated revision not stated
MTEB AmazonCounterfactualClassification (en) Configuration enTask ClassificationMetric apComparison conditions not established 43.6935 intfloat
Publisher reported
Evaluated revision not stated
MTEB AmazonCounterfactualClassification (en) Configuration enTask ClassificationMetric f1Comparison conditions not established 73.3808 intfloat
Publisher reported
Evaluated revision not stated
MTEB AmazonCounterfactualClassification (en-ext) Configuration en-extTask ClassificationMetric accuracyComparison conditions not established 79.6552 intfloat
Publisher reported
Evaluated revision not stated
MTEB AmazonCounterfactualClassification (en-ext) Configuration en-extTask ClassificationMetric apComparison conditions not established 28.5079 intfloat
Publisher reported
Evaluated revision not stated
MTEB AmazonCounterfactualClassification (en-ext) Configuration en-extTask ClassificationMetric f1Comparison conditions not established 66.8452 intfloat
Publisher reported
Evaluated revision not stated
MTEB AmazonCounterfactualClassification (ja) Configuration jaTask ClassificationMetric accuracyComparison conditions not established 73.3298 intfloat
Publisher reported
Evaluated revision not stated
MTEB AmazonCounterfactualClassification (ja) Configuration jaTask ClassificationMetric apComparison conditions not established 20.7205 intfloat
Publisher reported
Evaluated revision not stated
MTEB AmazonCounterfactualClassification (ja) Configuration jaTask ClassificationMetric f1Comparison conditions not established 59.78 intfloat
Publisher reported
Evaluated revision not stated
MTEB AmazonPolarityClassification Configuration defaultTask ClassificationMetric accuracyComparison conditions not established 90.6377 intfloat
Publisher reported
Evaluated revision not stated
MTEB AmazonPolarityClassification Configuration defaultTask ClassificationMetric apComparison conditions not established 87.2228 intfloat
Publisher reported
Evaluated revision not stated
MTEB AmazonPolarityClassification Configuration defaultTask ClassificationMetric f1Comparison conditions not established 90.6038 intfloat
Publisher reported
Evaluated revision not stated
MTEB AmazonReviewsClassification (de) Configuration deTask ClassificationMetric accuracyComparison conditions not established 41.828 intfloat
Publisher reported
Evaluated revision not stated
MTEB AmazonReviewsClassification (de) Configuration deTask ClassificationMetric f1Comparison conditions not established 41.271 intfloat
Publisher reported
Evaluated revision not stated
MTEB AmazonReviewsClassification (en) Configuration enTask ClassificationMetric accuracyComparison conditions not established 44.546 intfloat
Publisher reported
Evaluated revision not stated
MTEB AmazonReviewsClassification (en) Configuration enTask ClassificationMetric f1Comparison conditions not established 44.0567 intfloat
Publisher reported
Evaluated revision not stated
MTEB AmazonReviewsClassification (es) Configuration esTask ClassificationMetric accuracyComparison conditions not established 40.534 intfloat
Publisher reported
Evaluated revision not stated
MTEB AmazonReviewsClassification (es) Configuration esTask ClassificationMetric f1Comparison conditions not established 39.8207 intfloat
Publisher reported
Evaluated revision not stated
MTEB AmazonReviewsClassification (fr) Configuration frTask ClassificationMetric accuracyComparison conditions not established 39.684 intfloat
Publisher reported
Evaluated revision not stated
MTEB AmazonReviewsClassification (fr) Configuration frTask ClassificationMetric f1Comparison conditions not established 39.1105 intfloat
Publisher reported
Evaluated revision not stated
MTEB AmazonReviewsClassification (ja) Configuration jaTask ClassificationMetric accuracyComparison conditions not established 37.436 intfloat
Publisher reported
Evaluated revision not stated
MTEB AmazonReviewsClassification (ja) Configuration jaTask ClassificationMetric f1Comparison conditions not established 37.0708 intfloat
Publisher reported
Evaluated revision not stated
MTEB AmazonReviewsClassification (zh) Configuration zhTask ClassificationMetric accuracyComparison conditions not established 37.226 intfloat
Publisher reported
Evaluated revision not stated
MTEB AmazonReviewsClassification (zh) Configuration zhTask ClassificationMetric f1Comparison conditions not established 36.6537 intfloat
Publisher reported
Evaluated revision not stated
MTEB ArguAna Configuration defaultTask RetrievalMetric map_at_1Comparison conditions not established 22.831 intfloat
Publisher reported
Evaluated revision not stated
MTEB ArguAna Configuration defaultTask RetrievalMetric map_at_10Comparison conditions not established 36.42 intfloat
Publisher reported
Evaluated revision not stated
MTEB ArguAna Configuration defaultTask RetrievalMetric map_at_100Comparison conditions not established 37.699 intfloat
Publisher reported
Evaluated revision not stated
MTEB ArguAna Configuration defaultTask RetrievalMetric map_at_1000Comparison conditions not established 37.724 intfloat
Publisher reported
Evaluated revision not stated
MTEB ArguAna Configuration defaultTask RetrievalMetric map_at_3Comparison conditions not established 32.207 intfloat
Publisher reported
Evaluated revision not stated
MTEB ArguAna Configuration defaultTask RetrievalMetric map_at_5Comparison conditions not established 34.312 intfloat
Publisher reported
Evaluated revision not stated
MTEB ArguAna Configuration defaultTask RetrievalMetric mrr_at_1Comparison conditions not established 23.257 intfloat
Publisher reported
Evaluated revision not stated
MTEB ArguAna Configuration defaultTask RetrievalMetric mrr_at_10Comparison conditions not established 36.574 intfloat
Publisher reported
Evaluated revision not stated
MTEB ArguAna Configuration defaultTask RetrievalMetric mrr_at_100Comparison conditions not established 37.854 intfloat
Publisher reported
Evaluated revision not stated
MTEB ArguAna Configuration defaultTask RetrievalMetric mrr_at_1000Comparison conditions not established 37.878 intfloat
Publisher reported
Evaluated revision not stated
MTEB ArguAna Configuration defaultTask RetrievalMetric mrr_at_3Comparison conditions not established 32.385 intfloat
Publisher reported
Evaluated revision not stated
mteb/arguana Task ArguAnaMetric ArguAnaSetup Obtained using MTEB v1.12.75Comparison conditions not established 44.206 Obtained using MTEB v1.12.75
Reported by a third party
Evaluated revision not stated 2026-04-02
mteb/arguana Task ArguAna_default_testMetric ArguAna_default_testSetup Obtained using MTEB v1.12.75Comparison conditions not established 44.206 Obtained using MTEB v1.12.75
Reported by a third party
Evaluated revision not stated 2026-04-02

Questions

Which is larger, embeddinggemma-300m or multilingual-e5-base?

embeddinggemma-300m (303M parameters) is larger than multilingual-e5-base (278M parameters), by the parameter counts their publishers report.

Which is cheaper to run, embeddinggemma-300m or multilingual-e5-base?

At 4-bit, embeddinggemma-300m fits on 1x MI300X from $1.85 an hour and multilingual-e5-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 multilingual-e5-base commercially?

Yes. multilingual-e5-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.

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