AI Rate CardQwen3.5 397B-A17B vs Qwen3.5 9B: API price and specs
Qwen3.5 9B is 76% cheaper than Qwen3.5 397B-A17B on input price.
Qwen3.5 9B is 93% cheaper than Qwen3.5 397B-A17B on output price.
Qwen3.5 9B is 85% cheaper than Qwen3.5 397B-A17B on a 1M-in / 200k-out workload.
| Field | Qwen3.5 397B-A17B | Qwen3.5 9B |
|---|---|---|
| Lowest input, per 1M | $0.16 +311% | $0.04 |
| Median input, per 1M | $0.55 +450% | $0.10 |
| Lowest output, per 1M | $0.99 +1417.5% | $0.065 |
| Median output, per 1M | $3.60 +1970.8% | $0.17 |
| Lowest unit price | — | — |
| Cost of 1M in + 200k out | $0.36 +582.4% | $0.053 |
| Context | 262K | 262K |
| Max output | 262K | 262K |
| Providers | 30 | 17 +43.3% |
| Regions | CH, EU, GLOBAL, US | EU, GLOBAL, US |
| Accepts | file, image, image/bmp, image/heic, image/jpeg, image/png, image/tiff, image/webp, text, video, video/mp4, video/quicktime, video/x-flv, video/x-matroska, video/x-ms-wmv, video/x-msvideo | image, image/bmp, image/heic, image/jpeg, image/png, image/tiff, image/webp, text, video, video/mp4, video/quicktime, video/x-flv, video/x-matroska, video/x-ms-wmv, video/x-msvideo |
| Returns | text | text |
| Type | Text models | Text models |
| Free option | no | no |
| Cheapest provider | aihubmix | edenai |
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
cortecs, deepinfra, edenai, empiriolabs, fastrouter, huggingface, kilo, mixlayer, openrouter, ovhcloud, requesty, siliconflow, siliconflow-cn, togetherai, trustedrouter
Frequently asked questions
Which is cheaper, Qwen3.5 397B-A17B or Qwen3.5 9B?
Qwen3.5 9B is 76% cheaper than Qwen3.5 397B-A17B on input price. Qwen3.5 9B is 93% cheaper than Qwen3.5 397B-A17B on output price. Qwen3.5 9B is 85% cheaper than Qwen3.5 397B-A17B on a 1M-in / 200k-out workload.
Which has the larger context, Qwen3.5 397B-A17B or Qwen3.5 9B?
Qwen3.5 397B-A17B: 262K tokens; Qwen3.5 9B: 262K tokens.
Where can I use both Qwen3.5 397B-A17B and Qwen3.5 9B?
cortecs, deepinfra, edenai, empiriolabs, fastrouter, huggingface, kilo, mixlayer, openrouter, ovhcloud, requesty, siliconflow, siliconflow-cn, togetherai, trustedrouter