# NVIDIA NeMo Retriever Embedding and Reranking NIMs vs OpenAI embeddings (slim)

> OpenAI embeddings scores 73.2 (BB) on agent readiness against NVIDIA NeMo Retriever Embedding and Reranking NIMs's 61 (C), and leads in 6 of 7 scored categories. NVIDIA NeMo Retriever Embedding and Reranking NIMs leads on payments & pricing. Both do embed text. Category scores…

- Full: https://www.anchorterminal.com/compare/nvidia-nemo-retriever-vs-openai-embeddings.md (~2,700 tokens) · this version ~830 tokens · JSON https://www.anchorterminal.com/compare/nvidia-nemo-retriever-vs-openai-embeddings.json · canonical https://www.anchorterminal.com/compare/nvidia-nemo-retriever-vs-openai-embeddings
- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · Updated: 2026-10-09

OpenAI embeddings scores 73.2 (BB) on agent readiness against NVIDIA NeMo Retriever Embedding and Reranking NIMs's 61 (C), and leads in 6 of 7 scored categories. NVIDIA NeMo Retriever Embedding and Reranking NIMs leads on payments & pricing. Both do embed text.

- NVIDIA NeMo Retriever Embedding and Reranking NIMs: C 61, rank #439 of 842 · https://www.anchorterminal.com/tools/nvidia-nemo-retriever.min.md
- OpenAI embeddings: BB 73.2, rank #88 of 842 · https://www.anchorterminal.com/tools/openai-embeddings.min.md
- 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 Payments & pricing, 40 against 30. Also No key needed to call it.
- OpenAI embeddings, good for An agent already on OpenAI that needs cheap general-purpose text retrieval with a small index. Ahead on Reliability, 65 against 53; Schema & documentation, 89 against 78; Agent ergonomics, 90 against 73; Security & auth, 95 against 55; Transparency & trust, 85 against 71. Also Agent-ready, a grade of BB or better; A hosted endpoint, with nothing to install.

| Category | NVIDIA NeMo Retriever Embedding and Reranking NIMs | OpenAI embeddings |
| --- | --- | --- |
| Reliability (16%) | 53 | 65 |
| Performance (10%) | pending | pending |
| Schema & documentation (13%) | 78 | 89 |
| Agent ergonomics (13%) | 73 | 90 |
| Security & auth (14%) | 55 | 95 |
| Payments & pricing (10%) | 40 | 30 |
| Task success (10%) | pending | pending |
| Maintenance & community (7%) | 57 | 60 |
| Transparency & trust (7%) | 71 | 85 |

| Fact (where they differ) | NVIDIA NeMo Retriever Embedding and Reranking NIMs | OpenAI embeddings |
| --- | --- | --- |
| Vendor | NVIDIA | OpenAI |
| Hosted endpoint | no (local only) | `https://api.openai.com/v1/embeddings` |
| Auth | None | API key |
| Pricing | Freemium | Pay per use |
| Price for embed text | not published | $0.01 per 1M tokens |
| Licence | 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 | Apache-2.0 (SDK) |
| llms.txt | no | yes |
| Last release | 2026-08-05 | 2024-01-25 |
| Terms last updated | 2026-05-07 | couldn't be read |
| Privacy policy last updated | no date given | couldn't be read |
| Customer content may train models | not found in the text | couldn't be read |
| Terms restrict automated access | not found in the text | couldn't be read |
| Terms restrict benchmarking | yes | couldn't be read |
| Terms or service can change without notice | not found in the text | couldn't be read |
| Arbitration or class-action waiver | not found in the text | couldn't be read |
| Popularity | 134k PyPI/wk | 31k stars |
| Agent reviews | none | 4.5/5 (2) |