SAVRN Model Hub · Comparisons
distiluse-base-multilingual-cased-v1 vs nomic-embed-text-v1
Distiluse-base-multilingual-cased-v1 has 135M parameters and nomic-embed-text-v1 has 137M parameters; both are released under Apache License 2.0; at 16-bit, distiluse-base-multilingual-cased-v1 needs about 0.3 GB (1x MI300X from $1.85 an hour) and nomic-embed-text-v1 about 0.3 GB (1x MI300X from $1.85 an hour).
| Field | distiluse-base-multilingual-cased-v1 sentence-transformers/distiluse-base-multilingual-cased-v1 | nomic-embed-text-v1 nomic-ai/nomic-embed-text-v1 |
|---|---|---|
| Publisher | Sentence Transformers | Nomic AI |
| Task | Sentence similarity | Sentence similarity |
| Modality | Text | Text |
| Parameters, as reported | 135M parameters | 137M parameters |
| Architecture | DistilBertModel | NomicBertModel |
| Library | sentence-transformers | sentence-transformers |
| Context length | 512 tokens | 8,192 tokens |
| Repository size | 5.3 GB | 1.8 GB |
| Artifact formats | safetensors, onnx, openvino, pytorch, tf | safetensors, onnx, pytorch |
| License | apache-2.0 | apache-2.0 |
| Access | Open weights, no gate | Open weights, no gate |
| Memory at 16-bit (weights and margin) | 0.3 GB | 0.3 GB |
| Cheapest GPUs at 16-bit, per hour | 1x MI300X, $1.85 | 1x MI300X, $1.85 |
| Memory at 4-bit (weights and margin) | 0.1 GB | 0.1 GB |
| Cheapest GPUs at 4-bit, per hour | 1x MI300X, $1.85 | 1x MI300X, $1.85 |
| Revision viewed | 826fee3d516e | 3ac47f125a41 |
| Downloads reported by the hub | 1M | 3.3M |
| 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.
nomic-embed-text-v1
| Benchmark | Conditions | Result | Reported by | Revision | Date |
|---|---|---|---|---|---|
| MTEB AmazonCounterfactualClassification (en) | Configuration enTask ClassificationMetric accuracyComparison conditions not established | 76.8507 | nomic-ai Publisher reported |
Evaluated revision not stated | — |
| MTEB AmazonCounterfactualClassification (en) | Configuration enTask ClassificationMetric apComparison conditions not established | 40.5922 | nomic-ai Publisher reported |
Evaluated revision not stated | — |
| MTEB AmazonCounterfactualClassification (en) | Configuration enTask ClassificationMetric f1Comparison conditions not established | 71.0163 | nomic-ai Publisher reported |
Evaluated revision not stated | — |
| MTEB AmazonPolarityClassification | Configuration defaultTask ClassificationMetric accuracyComparison conditions not established | 91.5189 | nomic-ai Publisher reported |
Evaluated revision not stated | — |
| MTEB AmazonPolarityClassification | Configuration defaultTask ClassificationMetric apComparison conditions not established | 88.5035 | nomic-ai Publisher reported |
Evaluated revision not stated | — |
| MTEB AmazonPolarityClassification | Configuration defaultTask ClassificationMetric f1Comparison conditions not established | 91.5034 | nomic-ai Publisher reported |
Evaluated revision not stated | — |
| MTEB AmazonReviewsClassification (en) | Configuration enTask ClassificationMetric accuracyComparison conditions not established | 47.364 | nomic-ai Publisher reported |
Evaluated revision not stated | — |
| MTEB AmazonReviewsClassification (en) | Configuration enTask ClassificationMetric f1Comparison conditions not established | 46.7271 | nomic-ai Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric map_at_1Comparison conditions not established | 25.178 | nomic-ai Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric map_at_10Comparison conditions not established | 40.244 | nomic-ai Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric map_at_100Comparison conditions not established | 41.322 | nomic-ai Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric map_at_1000Comparison conditions not established | 41.331 | nomic-ai Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric map_at_3Comparison conditions not established | 35.017 | nomic-ai Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric map_at_5Comparison conditions not established | 37.99 | nomic-ai Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric mrr_at_1Comparison conditions not established | 25.605 | nomic-ai Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric mrr_at_10Comparison conditions not established | 40.422 | nomic-ai Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric mrr_at_100Comparison conditions not established | 41.507 | nomic-ai Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric mrr_at_1000Comparison conditions not established | 41.516 | nomic-ai Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric mrr_at_3Comparison conditions not established | 35.23 | nomic-ai Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric mrr_at_5Comparison conditions not established | 38.15 | nomic-ai Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric ndcg_at_1Comparison conditions not established | 25.178 | nomic-ai Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric ndcg_at_10Comparison conditions not established | 49.258 | nomic-ai Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric ndcg_at_100Comparison conditions not established | 53.776 | nomic-ai Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric ndcg_at_1000Comparison conditions not established | 53.995 | nomic-ai Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric ndcg_at_3Comparison conditions not established | 38.429 | nomic-ai Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric ndcg_at_5Comparison conditions not established | 43.803 | nomic-ai Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric precision_at_1Comparison conditions not established | 25.178 | nomic-ai Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric precision_at_10Comparison conditions not established | 7.831 | nomic-ai Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric precision_at_100Comparison conditions not established | 0.979 | nomic-ai Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric precision_at_1000Comparison conditions not established | 0.1 | nomic-ai Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric precision_at_3Comparison conditions not established | 16.121 | nomic-ai Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric precision_at_5Comparison conditions not established | 12.29 | nomic-ai Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric recall_at_1Comparison conditions not established | 25.178 | nomic-ai Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric recall_at_10Comparison conditions not established | 78.307 | nomic-ai Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric recall_at_100Comparison conditions not established | 97.866 | nomic-ai Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric recall_at_1000Comparison conditions not established | 99.573 | nomic-ai Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric recall_at_3Comparison conditions not established | 48.364 | nomic-ai Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric recall_at_5Comparison conditions not established | 61.451 | nomic-ai Publisher reported |
Evaluated revision not stated | — |
| MTEB ArxivClusteringP2P | Configuration defaultTask ClusteringMetric v_measureComparison conditions not established | 45.9303 | nomic-ai Publisher reported |
Evaluated revision not stated | — |
| MTEB ArxivClusteringS2S | Configuration defaultTask ClusteringMetric v_measureComparison conditions not established | 36.6458 | nomic-ai Publisher reported |
Evaluated revision not stated | — |
SAVRN's Notes on distiluse-base-multilingual-cased-v1
Ask what an embedding service costs to host and this one answers with 0.3 GB: at 16-bit the weights and the working memory both sit at that figure, so the cheapest host in our table, a single MI300X with 192 GB at $1.85 an hour, is oversized for it alone. You run it as a sidecar next to whatever generation model occupies the card, turning sentences and paragraphs into 512-dimensional vectors for clustering or semantic search. Sentence Transformers built it on DistilBERT with a 119,547-entry vocabulary.
Apache 2.0 covers commercial use, modification and redistribution, with the duty to keep license and copyright notices and state significant changes, and it carries a patent grant. Check the 512-token context before committing: longer passages must be chunked ahead of embedding. The files ship in safetensors, ONNX, OpenVINO, PyTorch and TensorFlow, and the method is written up in arXiv:1908.10084.
SAVRN's Notes on nomic-embed-text-v1
For an embedding model the memory line is beside the point: 0.3 GB at 16-bit against one MI300X with 192 GB, the cheapest listed setup at $1.85 an hour. Nobody reserves that card for one copy of a 137M parameter encoder; vectors per hour, not fit, is the number to measure. The 8,192 token window is the reason to choose it over a shorter encoder: a whole contract goes in as one vector, not a stack of fragments.
Check the prefix rule first: the publisher's card requires a task instruction on every input, one form for the documents you store and another for the queries you ask, and a pipeline that omits them is not running the model as published. Apache 2.0 then lets you embed customer data commercially and ship a fine-tuned copy with the notices kept. Weights updated April 7, 2026, in safetensors, onnx and pytorch.
Questions
Which is larger, distiluse-base-multilingual-cased-v1 or nomic-embed-text-v1?
nomic-embed-text-v1 (137M parameters) is larger than distiluse-base-multilingual-cased-v1 (135M parameters), by the parameter counts their publishers report.
Which is cheaper to run, distiluse-base-multilingual-cased-v1 or nomic-embed-text-v1?
At 4-bit, distiluse-base-multilingual-cased-v1 fits on 1x MI300X from $1.85 an hour and nomic-embed-text-v1 on 1x MI300X from $1.85 an hour, at the lowest on-demand prices the SAVRN Index lists.
Can I use distiluse-base-multilingual-cased-v1 commercially?
Yes. distiluse-base-multilingual-cased-v1 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.
Can I use nomic-embed-text-v1 commercially?
Yes. nomic-embed-text-v1 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.