AI Rate Card

Qwen3 Embedding 0.6B vs BGE Large EN v1.5: API price and specs

Qwen3 Embedding 0.6B is 71% cheaper than BGE Large EN v1.5 on output price.

Qwen3 Embedding 0.6B is 29% cheaper than BGE Large EN v1.5 on a 1M-in / 200k-out workload.

Qwen3 Embedding 0.6B has a 6300% larger context than BGE Large EN v1.5.

FieldQwen3 Embedding 0.6BBGE Large EN v1.5
Lowest input, per 1M$0.01$0.01
Median input, per 1M$0.01049$0.034 +224.1%
Lowest output, per 1M$0.01$0.034 +240%
Median output, per 1M$0.01025$0.034 +231.9%
Lowest unit price——
Cost of 1M in + 200k out$0.012$0.0168 +40%
Context33K512 +98.4%
Max output33K—
Providers73 +57.1%
RegionsUS—
Acceptstextimage, text
Returnsembedding, text—
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, cloudflare-workers-ai, deepinfra

Frequently asked questions

Which is cheaper, Qwen3 Embedding 0.6B or BGE Large EN v1.5?

Qwen3 Embedding 0.6B is 71% cheaper than BGE Large EN v1.5 on output price. Qwen3 Embedding 0.6B is 29% cheaper than BGE Large EN v1.5 on a 1M-in / 200k-out workload.

Which has the larger context, Qwen3 Embedding 0.6B or BGE Large EN v1.5?

Qwen3 Embedding 0.6B: 33K tokens; BGE Large EN v1.5: 512 tokens.

Where can I use both Qwen3 Embedding 0.6B and BGE Large EN v1.5?

aihubmix, cloudflare-workers-ai, deepinfra