AI Rate Card

Qwen3.6 27B vs mistral-7b-instruct-v0.2: API price and specs

Qwen3.6 27B is 55% cheaper than mistral-7b-instruct-v0.2 on input price.

mistral-7b-instruct-v0.2 is 80% cheaper than Qwen3.6 27B on output price.

mistral-7b-instruct-v0.2 is 19% cheaper than Qwen3.6 27B on a 1M-in / 200k-out workload.

Qwen3.6 27B has a 700% larger context than mistral-7b-instruct-v0.2.

FieldQwen3.6 27Bmistral-7b-instruct-v0.2
Lowest input, per 1M$0.025$0.055 +120%
Median input, per 1M$0.40 +151%$0.16
Lowest output, per 1M$0.28 +409.1%$0.055
Median output, per 1M$3.19 +1348.5%$0.22
Lowest unit price——
Cost of 1M in + 200k out$0.081 +22.7%$0.066
Context262K33K +87.5%
Max output262K8K +96.9%
Providers273 +88.9%
RegionsEU, GLOBAL, US—
Acceptsapplication/pdf, audio, file, image, image/bmp, image/gif, image/heic, image/jpeg, image/png, image/tiff, image/webp, pdf, text, video, video/mp4, video/quicktime, video/webmfile, text
Returnstexttext
TypeText modelsText models
Free optionnono
Cheapest providerinferxdeepinfra

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

aiml, cortecs, deepinfra

Frequently asked questions

Which is cheaper, Qwen3.6 27B or mistral-7b-instruct-v0.2?

Qwen3.6 27B is 55% cheaper than mistral-7b-instruct-v0.2 on input price. mistral-7b-instruct-v0.2 is 80% cheaper than Qwen3.6 27B on output price. mistral-7b-instruct-v0.2 is 19% cheaper than Qwen3.6 27B on a 1M-in / 200k-out workload.

Which has the larger context, Qwen3.6 27B or mistral-7b-instruct-v0.2?

Qwen3.6 27B: 262K tokens; mistral-7b-instruct-v0.2: 33K tokens.

Where can I use both Qwen3.6 27B and mistral-7b-instruct-v0.2?

aiml, cortecs, deepinfra