← Back to all comparisons
Side-by-side
Embed English v3 vs Text embedding 3 large
Cohere vs OpenAI — head-to-head specs and pricing.
Cohere
Embed English v3
1024-dim embeddings tuned for search.
Cohere's retrieval-optimized English embeddings.
OpenAI
Text embedding 3 large
High-quality OpenAI embeddings.
3072-dim embeddings for retrieval, clustering, classification. Best-in-class semantic quality.
| Spec | Embed English v3 | Text embedding 3 large |
|---|---|---|
| Provider | Cohere | OpenAI |
| Input cost / 1M tokens | — | — |
| Output cost / 1M tokens | — | — |
| Context window | — | — |
| Max output tokens | — | — |
| Streaming support | — | — |
| Tool calling | — | — |
| Vision input | — | — |
| JSON mode | — | — |
| Status | ACTIVE | ACTIVE |
Use both via OneAPIKey — one key, one bill
OneAPIKey aggregates Cohere, OpenAI, and 10 more providers behind a single API. Smart Routing automatically picks the best model per request — or you choose explicitly.