AI Rate Card

Qwen3 Embedding 8B vs BGE Large EN v1.5: API price and specs

Qwen3 Embedding 8B is 69% cheaper than BGE Large EN v1.5 on output price.

Qwen3 Embedding 8B is 28% cheaper than BGE Large EN v1.5 on a 1M-in / 200k-out workload.

Qwen3 Embedding 8B has a 7900% larger context than BGE Large EN v1.5.

FieldQwen3 Embedding 8BBGE Large EN v1.5
Lowest input, per 1M$0.01$0.01
Median input, per 1M$0.01055$0.034 +222.3%
Lowest output, per 1M$0.01049$0.034 +224.1%
Median output, per 1M$0.01049$0.034 +224.1%
Lowest unit price$0.001118 / request—
Cost of 1M in + 200k out$0.0121$0.0168 +38.9%
Context41K512 +98.8%
Max output33K—
Providers143 +78.6%
Regions——
Acceptstextimage, text
Returnsembedding, embeddings, text, vector—
TypeEmbeddingsEmbeddings
Free optionnono
Cheapest providerdeepinfradeepinfra

Your own workload: how many tokens the model gets (input) and gives back (output) - for example, in a month. The "Cost" row of the table above is recalculated for these numbers, for each model.

Computed from current offers each time the page opens; the best value of a row is bold, the percent is how far behind the best.

Providers selling both

aihubmix, deepinfra

Frequently asked questions

Which is cheaper, Qwen3 Embedding 8B or BGE Large EN v1.5?

Qwen3 Embedding 8B is 69% cheaper than BGE Large EN v1.5 on output price. Qwen3 Embedding 8B is 28% cheaper than BGE Large EN v1.5 on a 1M-in / 200k-out workload.

Which has the larger context, Qwen3 Embedding 8B or BGE Large EN v1.5?

Qwen3 Embedding 8B: 41K tokens; BGE Large EN v1.5: 512 tokens.

Where can I use both Qwen3 Embedding 8B and BGE Large EN v1.5?

aihubmix, deepinfra