AI Rate CardQwen3.5 122B-A10B vs Qwen3.8 27B: API price and specs
Qwen3.8 27B is 65% cheaper than Qwen3.5 122B-A10B on input price.
Qwen3.8 27B is 64% cheaper than Qwen3.5 122B-A10B on output price.
Qwen3.8 27B is 65% cheaper than Qwen3.5 122B-A10B on a 1M-in / 200k-out workload.
Qwen3.8 27B has a 331.5% larger context than Qwen3.5 122B-A10B.
| Field | Qwen3.5 122B-A10B | Qwen3.8 27B |
|---|---|---|
| Lowest input, per 1M | $0.11 +188.7% | $0.039 |
| Median input, per 1M | $0.26 | $0.40 +53.8% |
| Lowest output, per 1M | $0.90 +181.5% | $0.32 |
| Median output, per 1M | $2.20 | $2.50 +13.6% |
| Lowest unit price | — | — |
| Cost of 1M in + 200k out | $0.29 +184.2% | $0.10 |
| Context | 262K +76.8% | 1.1M |
| Max output | 262K +47.6% | 500K |
| Providers | 19 +60.4% | 48 |
| Regions | CH, EU, GLOBAL, US | AU, CH, CZ, EU, GLOBAL, US |
| Accepts | audio, 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 | application/pdf, file, image, image/bmp, image/gif, image/heic, image/jpeg, image/png, image/tiff, image/webp, pdf, text, video, video/mp4, video/quicktime, video/webm, 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 | chutes |
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, edenai, empiriolabs, huggingface, infomaniak, jiekou, kilo, mixlayer, moark, novita, ofox, openrouter, orcarouter, regolo-ai, tensorx, trustedrouter
Frequently asked questions
Which is cheaper, Qwen3.5 122B-A10B or Qwen3.8 27B?
Qwen3.8 27B is 65% cheaper than Qwen3.5 122B-A10B on input price. Qwen3.8 27B is 64% cheaper than Qwen3.5 122B-A10B on output price. Qwen3.8 27B is 65% cheaper than Qwen3.5 122B-A10B on a 1M-in / 200k-out workload.
Which has the larger context, Qwen3.5 122B-A10B or Qwen3.8 27B?
Qwen3.5 122B-A10B: 262K tokens; Qwen3.8 27B: 1.1M tokens.
Where can I use both Qwen3.5 122B-A10B and Qwen3.8 27B?
aihubmix, deepinfra, edenai, empiriolabs, huggingface, infomaniak, jiekou, kilo, mixlayer, moark, novita, ofox, openrouter, orcarouter, regolo-ai, tensorx, trustedrouter