AI Rate Card

Qwen3 Embedding 0.6B vs all-MiniLM-L6-v2: API price and specs

all-MiniLM-L6-v2 is 50% cheaper than Qwen3 Embedding 0.6B on input price.

Qwen3 Embedding 0.6B has a 6300% larger context than all-MiniLM-L6-v2.

FieldQwen3 Embedding 0.6Ball-MiniLM-L6-v2
Lowest input, per 1M$0.01 +100%$0.005
Median input, per 1M$0.01049 +49.9%$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—
Context33K512 +98.4%
Max output33K384 +98.8%
Providers72 +71.4%
RegionsUS—
Acceptstexttext
Returnsembedding, texttext
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, Qwen3 Embedding 0.6B or all-MiniLM-L6-v2?

all-MiniLM-L6-v2 is 50% cheaper than Qwen3 Embedding 0.6B on input price.

Which has the larger context, Qwen3 Embedding 0.6B or all-MiniLM-L6-v2?

Qwen3 Embedding 0.6B: 33K tokens; all-MiniLM-L6-v2: 512 tokens.

Where can I use both Qwen3 Embedding 0.6B and all-MiniLM-L6-v2?

deepinfra, digitalocean