SAVRN Model Hub · Comparisons
granite-embedding-small-english-r2 vs jina-embeddings-v2-small-en
Granite-embedding-small-english-r2 has 48M parameters and jina-embeddings-v2-small-en has 33M parameters; both are released under Apache License 2.0; at 16-bit, granite-embedding-small-english-r2 needs about 0.1 GB (1x MI300X from $1.85 an hour) and jina-embeddings-v2-small-en about 0.1 GB (1x MI300X from $1.85 an hour).
| Field | granite-embedding-small-english-r2 ibm-granite/granite-embedding-small-english-r2 | jina-embeddings-v2-small-en jinaai/jina-embeddings-v2-small-en |
|---|---|---|
| Publisher | IBM Granite | Jina AI |
| Task | Feature extraction | Feature extraction |
| Modality | Text | Text |
| Parameters, as reported | 48M parameters | 33M parameters |
| Architecture | ModernBertModel | JinaBertForMaskedLM |
| Library | sentence-transformers | sentence-transformers |
| Context length | 8,192 tokens | 8,192 tokens |
| Repository size | 194.3 MB | 523.0 MB |
| Artifact formats | safetensors, pytorch | safetensors, onnx, pytorch, coreml |
| License | apache-2.0 | apache-2.0 |
| Access | Open weights, no gate | Open weights, no gate |
| Memory at 16-bit (weights and margin) | 0.1 GB | 0.1 GB |
| Cheapest GPUs at 16-bit, per hour | 1x MI300X, $1.85 | 1x MI300X, $1.85 |
| Memory at 4-bit (weights and margin) | 0 GB | 0 GB |
| Cheapest GPUs at 4-bit, per hour | 1x MI300X, $1.85 | 1x MI300X, $1.85 |
| Revision viewed | 2ab6fa8ea2d6 | 44e7d1d6caec |
| Downloads reported by the hub | 6.4M | 924k |
| 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.
jina-embeddings-v2-small-en
| Benchmark | Conditions | Result | Reported by | Revision | Date |
|---|---|---|---|---|---|
| MTEB AmazonCounterfactualClassification (en) | Configuration enTask ClassificationMetric accuracyComparison conditions not established | 71.3582 | jinaai Publisher reported |
Evaluated revision not stated | — |
| MTEB AmazonCounterfactualClassification (en) | Configuration enTask ClassificationMetric apComparison conditions not established | 33.9993 | jinaai Publisher reported |
Evaluated revision not stated | — |
| MTEB AmazonCounterfactualClassification (en) | Configuration enTask ClassificationMetric f1Comparison conditions not established | 65.3854 | jinaai Publisher reported |
Evaluated revision not stated | — |
| MTEB AmazonPolarityClassification | Configuration defaultTask ClassificationMetric accuracyComparison conditions not established | 82.9014 | jinaai Publisher reported |
Evaluated revision not stated | — |
| MTEB AmazonPolarityClassification | Configuration defaultTask ClassificationMetric apComparison conditions not established | 78.0143 | jinaai Publisher reported |
Evaluated revision not stated | — |
| MTEB AmazonPolarityClassification | Configuration defaultTask ClassificationMetric f1Comparison conditions not established | 82.8336 | jinaai Publisher reported |
Evaluated revision not stated | — |
| MTEB AmazonReviewsClassification (en) | Configuration enTask ClassificationMetric accuracyComparison conditions not established | 40.89 | jinaai Publisher reported |
Evaluated revision not stated | — |
| MTEB AmazonReviewsClassification (en) | Configuration enTask ClassificationMetric f1Comparison conditions not established | 39.2094 | jinaai Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric map_at_1Comparison conditions not established | 23.257 | jinaai Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric map_at_10Comparison conditions not established | 37.946 | jinaai Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric map_at_100Comparison conditions not established | 39.17 | jinaai Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric map_at_1000Comparison conditions not established | 39.181 | jinaai Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric map_at_3Comparison conditions not established | 32.99 | jinaai Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric map_at_5Comparison conditions not established | 35.468 | jinaai Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric mrr_at_1Comparison conditions not established | 23.542 | jinaai Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric mrr_at_10Comparison conditions not established | 38.057 | jinaai Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric mrr_at_100Comparison conditions not established | 39.289 | jinaai Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric mrr_at_1000Comparison conditions not established | 39.299 | jinaai Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric mrr_at_3Comparison conditions not established | 33.096 | jinaai Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric mrr_at_5Comparison conditions not established | 35.628 | jinaai Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric ndcg_at_1Comparison conditions not established | 23.257 | jinaai Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric ndcg_at_10Comparison conditions not established | 46.729 | jinaai Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric ndcg_at_100Comparison conditions not established | 51.901 | jinaai Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric ndcg_at_1000Comparison conditions not established | 52.16 | jinaai Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric ndcg_at_3Comparison conditions not established | 36.323 | jinaai Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric ndcg_at_5Comparison conditions not established | 40.767 | jinaai Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric precision_at_1Comparison conditions not established | 23.257 | jinaai Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric precision_at_10Comparison conditions not established | 7.511 | jinaai Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric precision_at_100Comparison conditions not established | 0.976 | jinaai Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric precision_at_1000Comparison conditions not established | 0.1 | jinaai Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric precision_at_3Comparison conditions not established | 15.339 | jinaai Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric precision_at_5Comparison conditions not established | 11.351 | jinaai Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric recall_at_1Comparison conditions not established | 23.257 | jinaai Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric recall_at_10Comparison conditions not established | 75.107 | jinaai Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric recall_at_100Comparison conditions not established | 97.582 | jinaai Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric recall_at_1000Comparison conditions not established | 99.573 | jinaai Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric recall_at_3Comparison conditions not established | 46.017 | jinaai Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric recall_at_5Comparison conditions not established | 56.757 | jinaai Publisher reported |
Evaluated revision not stated | — |
| MTEB ArxivClusteringP2P | Configuration defaultTask ClusteringMetric v_measureComparison conditions not established | 44.0242 | jinaai Publisher reported |
Evaluated revision not stated | — |
| MTEB ArxivClusteringS2S | Configuration defaultTask ClusteringMetric v_measureComparison conditions not established | 35.1614 | jinaai Publisher reported |
Evaluated revision not stated | — |
SAVRN's Notes on granite-embedding-small-english-r2
8,192 tokens of context on a 48M parameter embedding model change what you can index: a whole document section goes in as one unit. IBM Granite built this r2 release as a dense biencoder on ModernBERT, returning a 384-dimension vector per passage. Memory at 16-bit is 0.1 GB, and the cheapest listed host is one 192 GB MI300X at $1.85 an hour on demand, so plan on sharing that accelerator and paying for the slice of the hour you use.
Apache 2.0 carries an express patent grant, useful when embeddings ship inside a product; keep the license, notices and NOTICE file in the deployment and state significant changes. Before committing, read the training data, open relevance-pair datasets plus IBM's own collected and generated sets, against your data policy, and match the revision, released July 17, 2025 and last updated January 21, 2026, to the one you evaluated.
SAVRN's Notes on jina-embeddings-v2-small-en
Turning English text into vectors is the whole job here, and the 8,192 token window lets a full contract or filing go in as one piece. It is 33 million parameters in four layers, stored in float32, about 523 MB on disk. At 16-bit it needs 0.1 GB of memory, so the cheapest Index setup, one MI300X at $1.85 an hour, is far more card than the job calls for; in practice it shares a GPU with a generator, and the publisher also ships ONNX and CoreML builds.
Apache 2.0 permits commercial use, modification and redistribution, provided you keep the license and NOTICE files and state significant changes, and access is open. Before committing, confirm an English-only model fits your corpus, and read the ALiBi paper listed against it for how the 8,192 length is reached. The training relations name the C4 backbone and the publisher's negation dataset.
Questions
Which is larger, granite-embedding-small-english-r2 or jina-embeddings-v2-small-en?
granite-embedding-small-english-r2 (48M parameters) is larger than jina-embeddings-v2-small-en (33M parameters), by the parameter counts their publishers report.
Which is cheaper to run, granite-embedding-small-english-r2 or jina-embeddings-v2-small-en?
At 4-bit, granite-embedding-small-english-r2 fits on 1x MI300X from $1.85 an hour and jina-embeddings-v2-small-en on 1x MI300X from $1.85 an hour, at the lowest on-demand prices the SAVRN Index lists.
Can I use granite-embedding-small-english-r2 commercially?
Yes. granite-embedding-small-english-r2 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 jina-embeddings-v2-small-en commercially?
Yes. jina-embeddings-v2-small-en 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.