AI Rate Card

Qwen3 Embedding 8B vs bge-large-zh-v1.5: API price and specs

Qwen3 Embedding 8B is 5% cheaper than bge-large-zh-v1.5 on input price.

Qwen3 Embedding 8B is 4% cheaper than bge-large-zh-v1.5 on a 1M-in / 200k-out workload.

FieldQwen3 Embedding 8Bbge-large-zh-v1.5
Lowest input, per 1M$0.01$0.01049 +4.9%
Median input, per 1M$0.01055$0.02225 +110.9%
Lowest output, per 1M$0.01049$0.01049
Median output, per 1M$0.01049$0.02225 +112%
Lowest unit price$0.001118 / request—
Cost of 1M in + 200k out$0.0121$0.01259 +4.1%
Context41K—
Max output33K—
Providers142 +85.7%
Regions——
Acceptstextimage, text
Returnsembedding, embeddings, text, vector—
TypeEmbeddingsEmbeddings
Free optionnono
Cheapest providerdeepinframoark

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, moark

Frequently asked questions

Which is cheaper, Qwen3 Embedding 8B or bge-large-zh-v1.5?

Qwen3 Embedding 8B is 5% cheaper than bge-large-zh-v1.5 on input price. Qwen3 Embedding 8B is 4% cheaper than bge-large-zh-v1.5 on a 1M-in / 200k-out workload.

Where can I use both Qwen3 Embedding 8B and bge-large-zh-v1.5?

aihubmix, moark