AI Rate Card

BGE M3 vs multi-qa-mpnet-base-dot-v1: API price and specs

multi-qa-mpnet-base-dot-v1 is 50% cheaper than BGE M3 on input price.

BGE M3 has a 1500% larger context than multi-qa-mpnet-base-dot-v1.

FieldBGE M3multi-qa-mpnet-base-dot-v1
Lowest input, per 1M$0.01 +100%$0.005
Median input, per 1M$0.01025 +46.4%$0.007
Lowest output, per 1M$0.01—
Median output, per 1M$0.01025—
Lowest unit price——
Cost of 1M in + 200k out$0.012—
Context8K512 +93.8%
Max output—768
Providers62 +66.7%
Regions——
Acceptstexttext
Returnstexttext
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

deepinfra, digitalocean

Frequently asked questions

Which is cheaper, BGE M3 or multi-qa-mpnet-base-dot-v1?

multi-qa-mpnet-base-dot-v1 is 50% cheaper than BGE M3 on input price.

Which has the larger context, BGE M3 or multi-qa-mpnet-base-dot-v1?

BGE M3: 8K tokens; multi-qa-mpnet-base-dot-v1: 512 tokens.

Where can I use both BGE M3 and multi-qa-mpnet-base-dot-v1?

deepinfra, digitalocean