SAVRN Model Hub · Comparisons
multilingual-e5-base vs paraphrase-multilingual-mpnet-base-v2
Multilingual-e5-base has 278M parameters and paraphrase-multilingual-mpnet-base-v2 has 278M parameters; multilingual-e5-base is released under MIT License and paraphrase-multilingual-mpnet-base-v2 under Apache License 2.0; at 16-bit, multilingual-e5-base 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 | multilingual-e5-base intfloat/multilingual-e5-base | paraphrase-multilingual-mpnet-base-v2 sentence-transformers/paraphrase-multilingual-mpnet-base-v2 |
|---|---|---|
| Publisher | Liang Wang | Sentence Transformers |
| Task | Sentence similarity | Sentence similarity |
| Modality | Text | Text |
| Parameters, as reported | 278M parameters | 278M parameters |
| Architecture | XLMRobertaModel | XLMRobertaModel |
| Library | sentence-transformers | sentence-transformers |
| Context length | 514 tokens | 514 tokens |
| Repository size | 5.3 GB | 10.9 GB |
| Artifact formats | safetensors, onnx, openvino, pytorch | safetensors, onnx, openvino, pytorch, tf |
| License | mit | apache-2.0 |
| Access | Open weights, no gate | 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 | d12875059715 | 4328cf26390c |
| Downloads reported by the hub | 7.6M | 9.8M |
| Last observed | 2026-09-19 | 2026-09-19 |
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.
multilingual-e5-base
| Benchmark | Conditions | Result | Reported by | Revision | Date |
|---|---|---|---|---|---|
| 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 |
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 multilingual-e5-base
Seven tenths of a gigabyte is the whole footprint at 16-bit, on a card that holds 192 GB. That is multilingual-e5-base, a 278M-parameter sentence-similarity model. Nobody dedicates an MI300X at $1.85 an hour to 0.7 GB; you run it beside other work on a card you already own, or drop to 8-bit and 0.3 GB. Disk is another matter: 23 files and 5.3 GB, because the repository carries safetensors, ONNX, OpenVINO and PyTorch copies, and you need one.
MIT is about as short as licenses get: commercial use, modification and redistribution, provided the copyright and permission notices travel with the files. Context is 514 tokens, so long passages get chunked before encoding. The publisher initialized it from xlm-roberta-base and continually trained it on multilingual data, covering 100 languages with degradation possible in low-resource ones, so test yours first. Weights are stored in float32; the 16-bit figure assumes you convert.
SAVRN's Notes on paraphrase-multilingual-mpnet-base-v2
This is one of the most used multilingual embedding models: about 9.8 million downloads a month. It maps sentences in more than 50 languages into one shared vector space, so a query in one language can find a match in another.
At 278M parameters it runs on a CPU. Apache 2.0 allows commercial use. It is a dependable default for multilingual semantic search and clustering; newer embedding models in our catalog score higher on benchmarks, so test them if retrieval quality is your bottleneck.
Questions
Which is larger, multilingual-e5-base or paraphrase-multilingual-mpnet-base-v2?
multilingual-e5-base (278M parameters) is larger than paraphrase-multilingual-mpnet-base-v2 (278M parameters), by the parameter counts their publishers report.
Which is cheaper to run, multilingual-e5-base or paraphrase-multilingual-mpnet-base-v2?
At 4-bit, multilingual-e5-base 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 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.
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.