Nomic Embed vs Cohere Embed 4
Both are alternatives to OpenAI Embeddings API. Here's how they stack up — verified facts, no spin.
Nomic Embed
TOP PICKThe sovereign default — Apache-2.0, runs in Ollama, 8k context.
nomic-embed-text-v1.5 is the open model that made local embeddings boring: Apache-2.0 with the training recipe published, an 8,192-token context (longer than the OpenAI API's), Matryoshka dimensions to trade size for speed, and one-command serving through Ollama on hardware you already own.
Cohere Embed 4
The enterprise multilingual option with a 128k context.
Cohere's Embed 4 reads whole documents at once (128,000-token context), specializes in multilingual retrieval, and — unusually for hosted AI — deploys into AWS, Azure, or your own VPC for compliance-bound enterprises. $0.12 per million tokens.
Side by side
| Nomic Embed | Cohere Embed 4 | |
|---|---|---|
| Sovereignty Score | 92 | 36 |
| Open source | Yes | No |
| Self-hostable | Yes | No |
| Local-first | Yes | No |
| License | Apache-2.0 | Proprietary hosted service |
| Pricing | Free — runs locally via Ollama or sentence-transformers; your hardware is the cost | $0.12/1M tokens; private-deployment options for enterprise |
Nomic Embed is Macrostack's recommended OpenAI Embeddings API alternative, so it's our pick here.
Nomic Embed
Strengths
- +Truly open: Apache-2.0 including the training recipe
- +8,192-token context — longer than the API default
- +One-command local serving through Ollama, CPU-friendly
Trade-offs
- −English-focused — the multilingual variant is weaker
- −You own the serving and monitoring
- −Benchmark ceiling sits below the premium hosted models
Cohere Embed 4
Strengths
- +128k-token context — embed entire documents
- +Multilingual strength
- +VPC/private deployment paths for compliance
Trade-offs
- −Six times the price of the small tiers
- −Hosted service with enterprise sales gravity
Facts verified 2026-07-19. Licenses and pricing change — spotted something out of date? That's a correction we want.