Qwen3.5 122B-A10B vs Kimi K2.6: API price and specs
Qwen3.5 122B-A10B is 71% cheaper than Kimi K2.6 on input price.
Qwen3.5 122B-A10B is 50% cheaper than Kimi K2.6 on output price.
Qwen3.5 122B-A10B is 61% cheaper than Kimi K2.6 on a 1M-in / 200k-out workload.
| Field | Qwen3.5 122B-A10B | Kimi K2.6 |
|---|---|---|
| Lowest input, per 1M | $0.11 | $0.39 +246.4% |
| Median input, per 1M | $0.26 | $0.95 +265.4% |
| Lowest output, per 1M | $0.90 | $1.80 +99.8% |
| Median output, per 1M | $2.20 | $4.00 +81.8% |
| Lowest unit price | — | — |
| Cost of 1M in + 200k out | $0.29 | $0.75 +156.2% |
| Context | 262K | 262K |
| Max output | 262K | 262K |
| Providers | 19 +60.4% | 48 |
| Regions | CH, EU, GLOBAL, US | APAC, CH, 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 | file, image, image/bmp, image/gif, image/heic, image/heif, image/jpeg, image/png, image/webp, text, video, video/3gpp, video/avi, video/mov, video/mp4, video/mpeg, video/mpg, video/webm, video/wmv, video/x-flv |
| Returns | text | text |
| Type | Text models | Text models |
| Free option | no | yes |
| 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, moark, novita, ofox, openrouter, orcarouter, siliconflow, siliconflow-cn, tensorx, trustedrouter
Frequently asked questions
Which is cheaper, Qwen3.5 122B-A10B or Kimi K2.6?
Qwen3.5 122B-A10B is 71% cheaper than Kimi K2.6 on input price. Qwen3.5 122B-A10B is 50% cheaper than Kimi K2.6 on output price. Qwen3.5 122B-A10B is 61% cheaper than Kimi K2.6 on a 1M-in / 200k-out workload.
Which has the larger context, Qwen3.5 122B-A10B or Kimi K2.6?
Qwen3.5 122B-A10B: 262K tokens; Kimi K2.6: 262K tokens.
Where can I use both Qwen3.5 122B-A10B and Kimi K2.6?
aihubmix, deepinfra, edenai, empiriolabs, huggingface, infomaniak, jiekou, kilo, moark, novita, ofox, openrouter, orcarouter, siliconflow, siliconflow-cn, tensorx, trustedrouter