AI Rate Card

Qwen3 235B-A22B vs qwen3.8: API price and specs

Qwen3 235B-A22B is 91% cheaper than qwen3.8 on input price.

Qwen3 235B-A22B is 91% cheaper than qwen3.8 on output price.

Qwen3 235B-A22B is 91% cheaper than qwen3.8 on a 1M-in / 200k-out workload.

qwen3.8 has a 281.5% larger context than Qwen3 235B-A22B.

FieldQwen3 235B-A22Bqwen3.8
Lowest input, per 1M$0.18$2.00 +1011.1%
Median input, per 1M$0.21$2.00 +847.9%
Lowest output, per 1M$0.54$6.00 +1011.1%
Median output, per 1M$0.80$6.00 +650%
Lowest unit price——
Cost of 1M in + 200k out$0.29$3.20 +1011.1%
Context262K +73.8%1M
Max output82K +68.8%262K
Providers132 +84.6%
RegionsUS—
Acceptsimage, text, videoimage, text
Returnstext—
TypeText modelsText models
Free optionnono
Cheapest providerdeepinfraaiml

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, requesty

Frequently asked questions

Which is cheaper, Qwen3 235B-A22B or qwen3.8?

Qwen3 235B-A22B is 91% cheaper than qwen3.8 on input price. Qwen3 235B-A22B is 91% cheaper than qwen3.8 on output price. Qwen3 235B-A22B is 91% cheaper than qwen3.8 on a 1M-in / 200k-out workload.

Which has the larger context, Qwen3 235B-A22B or qwen3.8?

Qwen3 235B-A22B: 262K tokens; qwen3.8: 1M tokens.

Where can I use both Qwen3 235B-A22B and qwen3.8?

aiml, requesty