AI Rate Card

Qwen3 Embedding 0.6B vs Qwen3 Embedding 4B: API price and specs

Qwen3 Embedding 0.6B is 5% cheaper than Qwen3 Embedding 4B on output price.

Qwen3 Embedding 0.6B is 1% cheaper than Qwen3 Embedding 4B on a 1M-in / 200k-out workload.

FieldQwen3 Embedding 0.6BQwen3 Embedding 4B
Lowest input, per 1M$0.01$0.01
Median input, per 1M$0.01049$0.02 +90.6%
Lowest output, per 1M$0.01$0.01049 +4.9%
Median output, per 1M$0.01025$0.03925 +283%
Lowest unit price——
Cost of 1M in + 200k out$0.012$0.0121 +0.8%
Context33K33K
Max output33K33K
Providers76 +14.3%
RegionsUS—
Acceptstexttext
Returnsembedding, texttext
TypeEmbeddingsEmbeddings
Free optionnono
Cheapest providerdeepinfrahuggingface

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, moark, vercel

Frequently asked questions

Which is cheaper, Qwen3 Embedding 0.6B or Qwen3 Embedding 4B?

Qwen3 Embedding 0.6B is 5% cheaper than Qwen3 Embedding 4B on output price. Qwen3 Embedding 0.6B is 1% cheaper than Qwen3 Embedding 4B on a 1M-in / 200k-out workload.

Which has the larger context, Qwen3 Embedding 0.6B or Qwen3 Embedding 4B?

Qwen3 Embedding 0.6B: 33K tokens; Qwen3 Embedding 4B: 33K tokens.

Where can I use both Qwen3 Embedding 0.6B and Qwen3 Embedding 4B?

aihubmix, deepinfra, moark, vercel