Cohere Embed v4 pricing
Cohere Embed v4 from Cohere — embeddings API at $0.120 per 1M tokens, 1536 dimensions, 128,000-token max input. Multimodal (text + image), long 128K context, Matryoshka dimensions.
embed-v4.0multimodal Billed per input token · prices USD, last verified 2026-06-27.
Cohere Embed v4 cost calculator
Estimate the bill for embedding a corpus. Enter total tokens (≈ words × 1.3).
Re-embedding on model changes repeats this cost. Compare all models on the embeddings pricing page.
Cohere Embed v4 vs other embedding models
Cost per 1M tokens, cheapest first — Cohere Embed v4 highlighted.
| Model | Provider | Per 1M | Dimensions | Max input |
|---|---|---|---|---|
| BGE-M3open | BAAI | $0.010 | 1024 | 8K |
| text-embedding-3-small | OpenAI | $0.020 | 1536 | 8K |
| Jina Embeddings v3 | Jina AI | $0.020 | 1024 | 8K |
| Voyage-3.5 | Voyage AI | $0.060 | 1024 | 32K |
| Mistral Embed | Mistral | $0.100 | 1024 | 8K |
| Cohere Embed v4 | Cohere | $0.120 | 1536 | 128K |
| text-embedding-3-large | OpenAI | $0.130 | 3072 | 8K |
| Gemini Embedding | $0.150 | 3072 | 2K |
How Cohere Embed v4 pricing works
Cohere Embed v4 bills per input token at $0.120 per million — there are no output tokens, since the response is a fixed 1536-dimension vector. Cost scales only with how much text you embed, so the levers are corpus size and how often you re-embed.
Higher dimensions improve retrieval marginally but increase vector-database storage and query cost proportionally — many models (including this one where noted) support shortening dimensions to trade a little accuracy for big storage savings.
Cohere Embed v4 pricing FAQ
How much does Cohere Embed v4 cost?
Cohere Embed v4 costs $0.120 per 1M input tokens. Embedding 1 million typical documents of ~500 tokens each (500M tokens) would cost about $60.00.
How many dimensions does Cohere Embed v4 output?
Cohere Embed v4 returns 1536-dimension vectors, and supports Matryoshka shortening to smaller dimensions to cut storage. Its max input is 128,000 tokens per request.
Is there a cheaper embedding model than Cohere Embed v4?
Yes — BGE-M3 (BAAI) is cheaper at $0.010 per 1M tokens. The cheapest tracked here is BGE-M3 at $0.010.