Llama Embed Nemotron 8B vs Seed1.6 Embedding 1215
Llama Embed Nemotron 8B69.5
Seed1.6 Embedding 121570.3
Llama Embed Nemotron 8B92.1
Seed1.6 Embedding 121591.8
Llama Embed Nemotron 8B49.9
Seed1.6 Embedding 121548.9
Llama Embed Nemotron 8B10.8
Seed1.6 Embedding 1215-0
Llama Embed Nemotron 8B22
Seed1.6 Embedding 121539.5
Llama Embed Nemotron 8B62.5
Seed1.6 Embedding 121563.2
Llama Embed Nemotron 8B57
Seed1.6 Embedding 121543
Llama Embed Nemotron 8B88.5
Seed1.6 Embedding 121586.9
Llama Embed Nemotron 8B58.2
Seed1.6 Embedding 121532.3
Llama Embed Nemotron 8B61.1
Seed1.6 Embedding 121561.3
Llama Embed Nemotron 8B81.7
Seed1.6 Embedding 121578.7
Llama Embed Nemotron 8B73.2
Seed1.6 Embedding 121576.7
Llama Embed Nemotron 8B54.4
Seed1.6 Embedding 121556.8
Llama Embed Nemotron 8B10.8
Seed1.6 Embedding 1215-0
Llama Embed Nemotron 8B29.9
Seed1.6 Embedding 121546.2
Llama Embed Nemotron 8B84
Seed1.6 Embedding 121585.5
Llama Embed Nemotron 8B67.8
Seed1.6 Embedding 121566.2
Llama Embed Nemotron 8B68.7
Seed1.6 Embedding 121566
Llama Embed Nemotron 8B79.4
Seed1.6 Embedding 121575.9
Llama Embed Nemotron 8B29
Seed1.6 Embedding 121522.4
Llama Embed Nemotron 8B67.2
Seed1.6 Embedding 121566
Llama Embed Nemotron 8B79.6
Seed1.6 Embedding 121580.5
Llama Embed Nemotron 8B74.8
Seed1.6 Embedding 121586.4
Llama Embed Nemotron 8B—
Seed1.6 Embedding 121578.3
Llama Embed Nemotron 8B—
Seed1.6 Embedding 121578.3
Llama Embed Nemotron 8B—
Seed1.6 Embedding 121580.7
Llama Embed Nemotron 8B—
Seed1.6 Embedding 121580.7
Llama Embed Nemotron 8B—
Seed1.6 Embedding 121580.7
Llama Embed Nemotron 8B56.3
Seed1.6 Embedding 1215—
Llama Embed Nemotron 8B41.5
Seed1.6 Embedding 1215—
| Benchmark | Llama Embed Nemotron 8B | Seed1.6 Embedding 1215 |
|---|---|---|
| MTEB multilingual v2 · Mean over tasks · multilingual (1037 languages) | 69.5 | 70.3 |
| FollowIR · Mean over tasks · English | 10.8 | -0 |
| FollowIR · Mean over task types · English | 10.8 | -0 |
| FollowIR · Instruction Reranking · English | 10.8 | -0 |
| MTEB Europe v1 · Bitext Mining · multilingual (28 languages) | 92.1 | 91.8 |
| MTEB Europe v1 · Clustering · multilingual (29 languages) | 49.9 | 48.9 |
| MTEB Europe v1 · Instruction Reranking · English | 10.8 | -0 |
| MTEB Europe v1 · Multilabel Classification · multilingual (23 languages) | 22 | 39.5 |
| MTEB Europe v1 · Reranking · multilingual (12 languages) | 62.5 | 63.2 |
| MTEB French v1 · Pair Classification · French | 66.8 | 79.3 |
| MTEB Indic v1 · Clustering · multilingual (21 languages) | 57 | 43 |
| MTEB Indic v1 · Pair Classification · Hindi | 80.1 | 91.2 |
| MTEB Indic v1 · Reranking · multilingual (2 languages) | 88.5 | 86.9 |
| MTEB Indic v1 · STS · multilingual (13 languages) | 58.2 | 32.3 |
| MTEB multilingual v2 · Mean over task types · multilingual (1037 languages) | 61.1 | 61.3 |
| MTEB multilingual v2 · Bitext Mining · multilingual (1026 languages) | 81.7 | 78.7 |
| MTEB multilingual v2 · Classification · multilingual (119 languages) | 73.2 | 76.7 |
| MTEB multilingual v2 · Clustering · multilingual (208 languages) | 54.4 | 56.8 |
| MTEB multilingual v2 · Instruction Reranking · English | 10.8 | -0 |
| MTEB multilingual v2 · Multilabel Classification · multilingual (25 languages) | 29.9 | 46.2 |
| MTEB multilingual v2 · Pair Classification · multilingual (24 languages) | 84 | 85.5 |
| MTEB multilingual v2 · Reranking · multilingual (22 languages) | 67.8 | 66.2 |
| MTEB multilingual v2 · Retrieval · multilingual (120 languages) | 68.7 | 66 |
| MTEB multilingual v2 · STS · multilingual (35 languages) | 79.4 | 75.9 |
| MTEB Dutch v1 · Reranking · Dutch | 91.7 | 91.7 |
| MTEB Portuguese v1 · Multilabel Classification · Portuguese | 29 | 22.4 |
| MTEB Russian v1.1 · Pair Classification · Russian | 67.2 | 66 |
| MTEB Scandinavian v1 · Bitext Mining · multilingual (3 languages) | 79.6 | 80.5 |
| MTEB Spanish v1 · Pair Classification · Spanish | 74.8 | 86.4 |
| MTEB Thai v1 · Clustering · Thai | 63.4 | 52.7 |
| MTEB Thai v1 · Pair Classification · Thai | 81.4 | 91.5 |
| CoIR · Mean over tasks · multilingual (9 languages) | — | 78.3 |
| CoIR · Mean over task types · multilingual (9 languages) | — | 78.3 |
| CoIR · Retrieval · multilingual (9 languages) | — | 78.3 |
| MTEB Code v1 · Mean over tasks · multilingual (15 languages) | — | 80.7 |
| MTEB Code v1 · Mean over task types · multilingual (15 languages) | — | 80.7 |
| MTEB Code v1 · Retrieval · multilingual (15 languages) | — | 80.7 |
| MTEB Korean v2 · Retrieval · multilingual (2 languages) | 56.3 | — |
| MTEB Dutch v1 · Mean over tasks · Dutch | 66.2 | — |
| MTEB Dutch v1 · Mean over task types · Dutch | 70.7 | — |
| MTEB Dutch v1 · Classification · Dutch | 73.4 | — |
| MTEB Dutch v1 · Clustering · Dutch | 50.8 | — |
| MTEB Dutch v1 · Multilabel Classification · Dutch | 41.5 | — |
| MTEB Dutch v1 · Pair Classification · Dutch | 83.9 | — |
| MTEB Dutch v1 · Retrieval · Dutch | 67 | — |
| MTEB Dutch v1 · STS · Dutch | 86.4 | — |
Specs
| Spec | Llama Embed Nemotron 8B | Seed1.6 Embedding 1215 |
|---|---|---|
| Context | 33K | 33K |
| Weights | Open | Closed |
| Released | Oct 2025 | Dec 2025 |
| Dimensions | 4,096 | — |
| Max input | 131K tokens | 33K tokens |
| Memory (4-bit) | 4.5 GB | — |
| Licence | https://huggingface.co/nvidia/llama-embed-nemotron-8b/blob/main/LICENSE | — |
| Commercial use | Restricted | — |
What breaks when you switch
Llama Embed Nemotron 8B → Seed1.6 Embedding 1215
Re-embed your whole corpus›
Vectors from different models can't be mixed.
Max input: 131K tokens → 33K tokens
Seed1.6 Embedding 1215 → Llama Embed Nemotron 8B
Re-embed your whole corpus›
Vectors from different models can't be mixed.