Nomic Embed API
Nomic Embed API: A focused API for text-image embeddings, retrieval, and configurable vector outputs. Ranked #61 of 63 in AI Model APIs by our editors (3.4/10); pricing: Free plan · pricing on request; best for open embedding and multimodal retrieval workloads.
At a glance
- Editor score3.4 / 10
- PricingFree plan · pricing on request
- Best forOpen embedding and multimodal retrieval workloads
- Free planYes
- Language modelsYes
- Facts checked13 Oct 2026
Where it wins
- Text and image vectors support multimodal retrieval.
- Configurable dimensions and binary embeddings support varied vector workflows.
- 8,192-token context with an official Python client.2026-10-13
Where it doesn't
- The hosted service is available through a cloud API.
- Its scope centers on embeddings rather than broader AI workloads.
- Paid pricing requires contacting sales.
Our verdict on Nomic Embed API
Nomic Embed API provides hosted endpoints for Nomic’s text and vision embedding models. It is aimed at developers building semantic search, multimodal retrieval, retrieval-augmented generation, clustering, or data-visualization workflows. Text and image inputs can be converted into vectors, and the service is accessed over HTTP with a Nomic API key or through the official Python client. A free plan is available, with paid access handled through sales.
The standout capability is the combination of text and image embeddings for cross-modal retrieval. Teams can generate vectors for both modalities, search across text and images, and configure embedding dimensionality for different storage or retrieval designs. Binary embeddings add another output option, while the 8,192-token text context supports substantial text inputs. These controls make the API suitable for teams that need more than single-modality text vectors but still want an embedding-focused service.
Platform fit is straightforward: the hosted deployment is cloud-based, with HTTP authentication and Python support. Nomic also publishes open model weights and training materials for self-hosted use, giving technically capable teams an alternative to the hosted endpoint. The trade-off is scope. This is an embedding API, not a general model platform, and its category profile excludes image generation and audio or speech capabilities. Choose it when open embedding models, multimodal retrieval, configurable vectors, and Python access are priorities; consider a broader provider when one API must cover generation, audio, or a wider range of model tasks.
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Nomic Embed API pricing
Nomic Embed API fact sheet
| Free plan | Yes |
|---|---|
| Paid from | Not verified |
| Language models | Yes |
| Image generation | No |
| Audio and speech | No |
| Multimodal models | Yes |
| Embedding models | Yes |
| Max context window | 8192 tokens |
| SDK languages | Python |
| Deployment | Cloud |
| Support | Community, Docs |
| Built for | Mid-market, Enterprise (editorial estimate) |
| Pricing | Free plan · pricing on request (source) |
| Website | nomic.ai |
| Facts checked | 13 Oct 2026 |
Alternatives to Nomic Embed API
- OpenAI APIA broad cloud API platform for production applications, agents, voice, search, and code.9.4
- Google Gemini APIA free-entry Gemini API for multimodal prototypes and structured model workflows.9.3
- Qwen API (Alibaba Cloud Model Studio)A very low-cost, broad multimodal API for teams building cloud AI features.9.2
See all Nomic Embed API alternatives →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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