E5 Large v2 pricing.
Prices checked
E5 Large v2 costs $0.02 per million input tokens from DigitalOcean Gradient; the cheapest price is $0.01 at DeepInfra, checked .
DigitalOcean Gradient's own price
DigitalOcean Gradient
per million input tokens
71% below the typical price of the 17 embedding models we track.
Cheapest price
DeepInfra
per million input tokens
50% less than DigitalOcean Gradient, and the provider says why.
Every provider selling E5 Large v2
- 1$0.01/M tokens
- 2$0.01/M tokens
- 3$0.02/M tokens
How we count
Prices are per million input tokens; an embedding model writes no output, so there is no blend. A price below DigitalOcean Gradient's own is listed as cheapest only when the provider says why. intfloat trained E5 Large v2 and sells it on no catalog we read, so the price every row is measured against is DigitalOcean Gradient's.
- Runs it themselves
- The provider runs the open weights on hardware of its own, so the price is its own rather than a resale.
- Credits
- Priced in credits or points that convert to dollars, so the rate moves when the conversion does.
- Same as maker
- Sold by someone else at the price the maker charges.
Similar models
Embedding models from other labs, nearest in price first. Each percentage is against E5 Large v2's cheapest price, $0.01 per million input tokens.
Bge Base En v1 5
512 context · 3 providers
DeepInfra0.5¢/M tokens50% lessQwen3 Embedding 0.6B
8k context · open weights · 6 providers
DeepInfra$0.01/M tokensSame pricetext-embedding-3-small
8k context · closed weights · 9 providers
OpenAI$0.02/M tokens100% moreGemini Embedding 001
2k context · closed weights · 8 providers
Google$0.15/M tokens1400% more
Frequently asked
- Who sells E5 Large v2 cheapest?
- DeepInfra, at $0.01 per million input tokens, checked 26 Oct 2026. The provider runs the open weights on hardware of its own, so the price is its own rather than a resale.
- Why is E5 Large v2 priced on input alone?
- An embedding model reads text and returns a vector, so there are no output tokens to bill. The price is per million tokens sent, which is why it is never compared with a chat model's blended price.
- Is E5 Large v2 open weights?
- Yes. intfloat publishes the weights, so anyone may host E5 Large v2, which is why 3 providers sell it and why their prices differ.
- How does E5 Large v2 compare with other embedding models?
- At $0.02 per million input tokens, DigitalOcean Gradient's own price is 71% below the typical $0.07 across the 17 embedding models we track.
More from intfloat
See also