Price per 1M logo

Embed English V3.0 API pricing

Cohere · embedding model · 1K context

prices checked 2026-09-13 13:40 UTC
Input / 1M tokens
$0.1
Output / 1M tokens
free
Cached input / 1M
Max output

What Embed English V3.0 costs in practice

Embed English V3.0 is priced at $0.1 per million input tokens and free per million output tokens and no separately published prompt-cache rate. Against the median priced chat model ($0.5/1M in), this sits at 5.00× cheaper.

Monthly cost examples

Assuming 1,200 prompt + 400 completion tokens per request unless noted, billed 30 days a month and without cache hits.

WorkloadCost / monthCost / day
1,000 requests/day$3.6$0.12
10,000 requests/day$36$1.2
100,000 requests/day$360$12
1M summaries/month$799.99$26.67

Model a different profile in the cost calculator.

Capabilities

No capability flags published for this model.

Cheaper alternatives

Ranked by blended cost (3× input + 1× output) — cheaper, but check context and capabilities before switching.

#ModelProviderInput $/1MOutput $/1MCached $/1MContext
1Gemini Exp 1114Google Geminifreefree1.0M
2Gemini Exp 1206Google Geminifreefree2.1M
3Gemma 3 27b ItGoogle Geminifreefree131K
4Gemma 4 26b A4b ItGoogle Geminifreefree262K
5Gemma 4 31b ItGoogle Geminifreefree262K
6Learnlm 1.5 Pro ExperimentalGoogle Geminifreefree33K

Data provenance

This page is assembled from the sources below. Where two sources disagree, both are shown.

Primary sources
Cross-check

Only one source publishes this model; no independent cross-check available yet.

More from Cohere

Frequently asked

How much does Embed English V3.0 cost per 1,000 tokens?

About $0.0001 for input and free for output tokens, based on the per-million rates on this page.

Is Embed English V3.0 cheaper than other models?

We do not have enough price data to rank this model.

How often is Embed English V3.0's price checked?

The dataset was last refreshed 2026-09-13 13:40 UTC. Providers can change pricing at any time — verify with Cohere before committing to a budget.