# Nomic Embed vs NVIDIA NeMo Retriever Embedding and Reranking NIMs (slim)

> NVIDIA NeMo Retriever Embedding and Reranking NIMs scores 61 (C) on agent readiness against Nomic Embed's 49.2 (D), and leads in 6 of 7 scored categories. Nomic Embed leads on security & auth. Both do embed text. Category scores, facts, verdicts and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/nomic-embed-vs-nvidia-nemo-retriever.md (~2,750 tokens) · this version ~830 tokens · JSON https://www.anchorterminal.com/compare/nomic-embed-vs-nvidia-nemo-retriever.json · canonical https://www.anchorterminal.com/compare/nomic-embed-vs-nvidia-nemo-retriever
- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · Updated: 2026-10-09

NVIDIA NeMo Retriever Embedding and Reranking NIMs scores 61 (C) on agent readiness against Nomic Embed's 49.2 (D), and leads in 6 of 7 scored categories. Nomic Embed leads on security & auth. Both do embed text.

- Nomic Embed: D 49.2, rank #711 of 842 · https://www.anchorterminal.com/tools/nomic-embed.min.md
- NVIDIA NeMo Retriever Embedding and Reranking NIMs: C 61, rank #439 of 842 · https://www.anchorterminal.com/tools/nvidia-nemo-retriever.min.md
- Nomic Embed, good for Teams that want a hosted endpoint for an open-weight model they can also run themselves, with the same vectors either way. Ahead on Security & auth, 62 against 55. Also A hosted endpoint, with nothing to install.
- NVIDIA NeMo Retriever Embedding and Reranking NIMs, good for Teams that already run NVIDIA GPUs and need embedding and reranking inside their own network, including page-image retrieval with the VL models. Ahead on Reliability, 53 against 38; Schema & documentation, 78 against 65; Payments & pricing, 40 against 20; Maintenance & community, 57 against 28; Transparency & trust, 71 against 46. Also No key needed to call it.

| Category | Nomic Embed | NVIDIA NeMo Retriever Embedding and Reranking NIMs |
| --- | --- | --- |
| Reliability (16%) | 38 | 53 |
| Performance (10%) | pending | pending |
| Schema & documentation (13%) | 65 | 78 |
| Agent ergonomics (13%) | 69 | 73 |
| Security & auth (14%) | 62 | 55 |
| Payments & pricing (10%) | 20 | 40 |
| Task success (10%) | pending | pending |
| Maintenance & community (7%) | 28 | 57 |
| Transparency & trust (7%) | 46 | 71 |

| Fact (where they differ) | Nomic Embed | NVIDIA NeMo Retriever Embedding and Reranking NIMs |
| --- | --- | --- |
| Vendor | Nomic, Inc. | NVIDIA |
| Hosted endpoint | `https://api-atlas.nomic.ai/v1/embedding/text` | no (local only) |
| Auth | API key | None |
| Price for embed text | $0.10 per 1M tokens | not published |
| Licence | Proprietary hosted API. Model weights Apache-2.0 on Hugging Face. The Python client declares Apache in setup.py and the TypeScript client is MIT | Proprietary containers under the NVIDIA Software Licence Agreement and Product-Specific Terms for AI Products. Models carry their own licences, such as OpenMDW 1.1 for `nvidia/nemotron-3-embed-1b` and the NVIDIA Open Model Licence for the Llama Nemotron models |
| Last release | 2025-11-11 | 2026-08-05 |
| Terms last updated | no document linked | 2026-05-07 |
| Privacy policy last updated | no document linked | no date given |
| Customer content may train models |  | not found in the text |
| Terms restrict automated access |  | not found in the text |
| Terms restrict benchmarking |  | yes |
| Terms or service can change without notice |  | not found in the text |
| Arbitration or class-action waiver |  | not found in the text |
| Popularity | 1.9k stars, 8.6k npm/wk, 3.8k PyPI/wk | 134k PyPI/wk |