SAVRN Model Hub · Comparisons
multilingual-e5-large-instruct vs mxbai-embed-large-v1
Multilingual-e5-large-instruct has 560M parameters and mxbai-embed-large-v1 has 335M parameters; multilingual-e5-large-instruct is released under MIT License and mxbai-embed-large-v1 under Apache License 2.0; at 16-bit, multilingual-e5-large-instruct needs about 1.3 GB (1x MI300X from $1.85 an hour) and mxbai-embed-large-v1 about 0.8 GB (1x MI300X from $1.85 an hour).
| Field | multilingual-e5-large-instruct intfloat/multilingual-e5-large-instruct | mxbai-embed-large-v1 mixedbread-ai/mxbai-embed-large-v1 |
|---|---|---|
| Publisher | Liang Wang | Mixedbread |
| Task | Feature extraction | Feature extraction |
| Modality | Text | Text |
| Parameters, as reported | 560M parameters | 335M parameters |
| Architecture | XLMRobertaModel | BertModel |
| Library | sentence-transformers | sentence-transformers |
| Context length | 514 tokens | 512 tokens |
| Repository size | 3.4 GB | 5.4 GB |
| Artifact formats | safetensors, onnx | safetensors, gguf, onnx, openvino |
| License | mit | apache-2.0 |
| Access | Open weights, no gate | Open weights, no gate |
| Memory at 16-bit (weights and margin) | 1.3 GB | 0.8 GB |
| Cheapest GPUs at 16-bit, per hour | 1x MI300X, $1.85 | 1x MI300X, $1.85 |
| Memory at 4-bit (weights and margin) | 0.3 GB | 0.2 GB |
| Cheapest GPUs at 4-bit, per hour | 1x MI300X, $1.85 | 1x MI300X, $1.85 |
| Revision viewed | 274baa43b0e1 | b33106f585b9 |
| Downloads reported by the hub | 1.6M | 2.3M |
| Last observed | 2026-09-21 | 2026-09-21 |
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-large-instruct
| Benchmark | Conditions | Result | Reported by | Revision | Date |
|---|---|---|---|---|---|
| MTEB AmazonCounterfactualClassification (de) | Configuration deTask ClassificationMetric accuracyComparison conditions not established | 66.7131 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB AmazonCounterfactualClassification (de) | Configuration deTask ClassificationMetric apComparison conditions not established | 79.015 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB AmazonCounterfactualClassification (de) | Configuration deTask ClassificationMetric f1Comparison conditions not established | 64.8195 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB AmazonCounterfactualClassification (en) | Configuration enTask ClassificationMetric accuracyComparison conditions not established | 76.2388 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB AmazonCounterfactualClassification (en) | Configuration enTask ClassificationMetric apComparison conditions not established | 39.0735 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB AmazonCounterfactualClassification (en) | Configuration enTask ClassificationMetric f1Comparison conditions not established | 70.0484 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB AmazonCounterfactualClassification (en-ext) | Configuration en-extTask ClassificationMetric accuracyComparison conditions not established | 73.8531 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB AmazonCounterfactualClassification (en-ext) | Configuration en-extTask ClassificationMetric apComparison conditions not established | 22.4475 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB AmazonCounterfactualClassification (en-ext) | Configuration en-extTask ClassificationMetric f1Comparison conditions not established | 61.0163 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB AmazonCounterfactualClassification (ja) | Configuration jaTask ClassificationMetric accuracyComparison conditions not established | 76.0493 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB AmazonCounterfactualClassification (ja) | Configuration jaTask ClassificationMetric apComparison conditions not established | 23.4498 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB AmazonCounterfactualClassification (ja) | Configuration jaTask ClassificationMetric f1Comparison conditions not established | 62.5723 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB AmazonPolarityClassification | Configuration defaultTask ClassificationMetric accuracyComparison conditions not established | 96.2874 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB AmazonPolarityClassification | Configuration defaultTask ClassificationMetric apComparison conditions not established | 94.845 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB AmazonPolarityClassification | Configuration defaultTask ClassificationMetric f1Comparison conditions not established | 96.2868 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB AmazonReviewsClassification (de) | Configuration deTask ClassificationMetric accuracyComparison conditions not established | 53 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB AmazonReviewsClassification (de) | Configuration deTask ClassificationMetric f1Comparison conditions not established | 52.0083 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB AmazonReviewsClassification (en) | Configuration enTask ClassificationMetric accuracyComparison conditions not established | 56.716 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB AmazonReviewsClassification (en) | Configuration enTask ClassificationMetric f1Comparison conditions not established | 55.7651 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB AmazonReviewsClassification (es) | Configuration esTask ClassificationMetric accuracyComparison conditions not established | 48.806 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB AmazonReviewsClassification (es) | Configuration esTask ClassificationMetric f1Comparison conditions not established | 48.0823 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB AmazonReviewsClassification (fr) | Configuration frTask ClassificationMetric accuracyComparison conditions not established | 48.508 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB AmazonReviewsClassification (fr) | Configuration frTask ClassificationMetric f1Comparison conditions not established | 47.6875 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB AmazonReviewsClassification (ja) | Configuration jaTask ClassificationMetric accuracyComparison conditions not established | 47.71 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB AmazonReviewsClassification (ja) | Configuration jaTask ClassificationMetric f1Comparison conditions not established | 47.0587 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB AmazonReviewsClassification (zh) | Configuration zhTask ClassificationMetric accuracyComparison conditions not established | 44.662 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB AmazonReviewsClassification (zh) | Configuration zhTask ClassificationMetric f1Comparison conditions not established | 43.4237 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric map_at_1Comparison conditions not established | 31.721 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric map_at_10Comparison conditions not established | 49.221 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric map_at_100Comparison conditions not established | 49.884 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric map_at_1000Comparison conditions not established | 49.888 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric map_at_3Comparison conditions not established | 44.31 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric map_at_5Comparison conditions not established | 47.276 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric mrr_at_1Comparison conditions not established | 32.432 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric mrr_at_10Comparison conditions not established | 49.5 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric mrr_at_100Comparison conditions not established | 50.163 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric mrr_at_1000Comparison conditions not established | 50.166 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric mrr_at_3Comparison conditions not established | 44.618 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric mrr_at_5Comparison conditions not established | 47.541 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric ndcg_at_1Comparison conditions not established | 31.721 | intfloat Publisher reported |
Evaluated revision not stated | — |
mxbai-embed-large-v1
| Benchmark | Conditions | Result | Reported by | Revision | Date |
|---|---|---|---|---|---|
| MTEB AmazonCounterfactualClassification (en) | Configuration enTask ClassificationMetric accuracyComparison conditions not established | 75.0448 | mixedbread-ai Publisher reported |
Evaluated revision not stated | — |
| MTEB AmazonCounterfactualClassification (en) | Configuration enTask ClassificationMetric apComparison conditions not established | 37.7362 | mixedbread-ai Publisher reported |
Evaluated revision not stated | — |
| MTEB AmazonCounterfactualClassification (en) | Configuration enTask ClassificationMetric f1Comparison conditions not established | 68.9274 | mixedbread-ai Publisher reported |
Evaluated revision not stated | — |
| MTEB AmazonPolarityClassification | Configuration defaultTask ClassificationMetric accuracyComparison conditions not established | 93.8403 | mixedbread-ai Publisher reported |
Evaluated revision not stated | — |
| MTEB AmazonPolarityClassification | Configuration defaultTask ClassificationMetric apComparison conditions not established | 90.9319 | mixedbread-ai Publisher reported |
Evaluated revision not stated | — |
| MTEB AmazonPolarityClassification | Configuration defaultTask ClassificationMetric f1Comparison conditions not established | 93.8298 | mixedbread-ai Publisher reported |
Evaluated revision not stated | — |
| MTEB AmazonReviewsClassification (en) | Configuration enTask ClassificationMetric accuracyComparison conditions not established | 49.184 | mixedbread-ai Publisher reported |
Evaluated revision not stated | — |
| MTEB AmazonReviewsClassification (en) | Configuration enTask ClassificationMetric f1Comparison conditions not established | 48.7416 | mixedbread-ai Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric map_at_1Comparison conditions not established | 41.252 | mixedbread-ai Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric map_at_10Comparison conditions not established | 57.778 | mixedbread-ai Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric map_at_100Comparison conditions not established | 58.233 | mixedbread-ai Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric map_at_1000Comparison conditions not established | 58.237 | mixedbread-ai Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric map_at_3Comparison conditions not established | 53.45 | mixedbread-ai Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric map_at_5Comparison conditions not established | 56.376 | mixedbread-ai Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric mrr_at_1Comparison conditions not established | 41.679 | mixedbread-ai Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric mrr_at_10Comparison conditions not established | 57.927 | mixedbread-ai Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric mrr_at_100Comparison conditions not established | 58.389 | mixedbread-ai Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric mrr_at_1000Comparison conditions not established | 58.392 | mixedbread-ai Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric mrr_at_3Comparison conditions not established | 53.651 | mixedbread-ai Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric mrr_at_5Comparison conditions not established | 56.521 | mixedbread-ai Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric ndcg_at_1Comparison conditions not established | 41.252 | mixedbread-ai Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric ndcg_at_10Comparison conditions not established | 66.018 | mixedbread-ai Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric ndcg_at_100Comparison conditions not established | 67.774 | mixedbread-ai Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric ndcg_at_1000Comparison conditions not established | 67.844 | mixedbread-ai Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric ndcg_at_3Comparison conditions not established | 57.372 | mixedbread-ai Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric ndcg_at_5Comparison conditions not established | 62.646 | mixedbread-ai Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric precision_at_1Comparison conditions not established | 41.252 | mixedbread-ai Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric precision_at_10Comparison conditions not established | 9.189 | mixedbread-ai Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric precision_at_100Comparison conditions not established | 0.991 | mixedbread-ai Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric precision_at_1000Comparison conditions not established | 0.1 | mixedbread-ai Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric precision_at_3Comparison conditions not established | 22.902 | mixedbread-ai Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric precision_at_5Comparison conditions not established | 16.302 | mixedbread-ai Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric recall_at_1Comparison conditions not established | 41.252 | mixedbread-ai Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric recall_at_10Comparison conditions not established | 91.892 | mixedbread-ai Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric recall_at_100Comparison conditions not established | 99.147 | mixedbread-ai Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric recall_at_1000Comparison conditions not established | 99.644 | mixedbread-ai Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric recall_at_3Comparison conditions not established | 68.706 | mixedbread-ai Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric recall_at_5Comparison conditions not established | 81.508 | mixedbread-ai Publisher reported |
Evaluated revision not stated | — |
| MTEB ArxivClusteringP2P | Configuration defaultTask ClusteringMetric v_measureComparison conditions not established | 48.9729 | mixedbread-ai Publisher reported |
Evaluated revision not stated | — |
| MTEB ArxivClusteringS2S | Configuration defaultTask ClusteringMetric v_measureComparison conditions not established | 42.9807 | mixedbread-ai Publisher reported |
Evaluated revision not stated | — |
SAVRN's Notes on multilingual-e5-large-instruct
Loaded at 16-bit, this encoder needs 1.3 GB of memory for 1.1 GB of weights, a sliver of the 192 GB on the single MI300X our Index lists as the cheapest fit at $1.85 per hour. Nobody rents that card for one 560M-parameter embedding model; it fits beside a serving model on hardware you already run. The output is a 1,024-dimension vector for retrieval, and the publisher initialized it from xlm-roberta-large, so it carries that base's 100 languages.
MIT terms allow commercial use, modification and redistribution provided the copyright and permission notices stay with the files, so building it into a hosted product is simple. Check the 514-token context first: long documents must be chunked before encoding, and that chunking decides recall more than the card does. The Index carries no host prices for it, which fits a model operators run themselves.
SAVRN's Notes on mxbai-embed-large-v1
Every query you send this embedding model for retrieval needs the publisher's search prompt ahead of it; passages need none. Sizing is easy: 335M parameters, 0.8 GB of memory at 16-bit, and at $1.85 per hour on-demand for a single 192 GB MI300X, our cheapest listed option, the card spends most of its life waiting for text. The 512 token context is the practical limit, a short passage per call; plan your chunking around it.
Deployment is simple under Apache 2.0: commercial use, modification and redistribution are permitted, you keep the license, copyright notices and any NOTICE file, state significant changes, and contributors give an express patent grant. Before committing, note the download is 21 files and 5.36 GB across safetensors, gguf, onnx and openvino, so pull only what your stack reads, and that the evaluations are publisher-reported MTEB classification numbers; run your own retrieval set first.
Questions
Which is larger, multilingual-e5-large-instruct or mxbai-embed-large-v1?
multilingual-e5-large-instruct (560M parameters) is larger than mxbai-embed-large-v1 (335M parameters), by the parameter counts their publishers report.
Which is cheaper to run, multilingual-e5-large-instruct or mxbai-embed-large-v1?
At 4-bit, multilingual-e5-large-instruct fits on 1x MI300X from $1.85 an hour and mxbai-embed-large-v1 on 1x MI300X from $1.85 an hour, at the lowest on-demand prices the SAVRN Index lists.
Can I use multilingual-e5-large-instruct commercially?
Yes. multilingual-e5-large-instruct 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 mxbai-embed-large-v1 commercially?
Yes. mxbai-embed-large-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.