AI Rate CardQwen3.6 27B vs Kimi K2.7 Code: API price and specs
Qwen3.6 27B is 95% cheaper than Kimi K2.7 Code on input price.
Qwen3.6 27B is 89% cheaper than Kimi K2.7 Code on output price.
Qwen3.6 27B is 92% cheaper than Kimi K2.7 Code on a 1M-in / 200k-out workload.
| Field | Qwen3.6 27B | Kimi K2.7 Code |
|---|---|---|
| Lowest input, per 1M | $0.025 | $0.55 +2105.5% |
| Median input, per 1M | $0.40 | $0.95 +136.7% |
| Lowest output, per 1M | $0.28 | $2.60 +828.6% |
| Median output, per 1M | $3.19 | $4.00 +25.4% |
| Lowest unit price | — | — |
| Cost of 1M in + 200k out | $0.081 | $1.07 +1222.7% |
| Context | 262K | 262K |
| Max output | 262K | 262K |
| Providers | 27 +41.3% | 46 |
| Regions | EU, GLOBAL, US | APAC, EU, GLOBAL, US |
| Accepts | application/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/webm | application/pdf, file, image, image/bmp, image/gif, image/heic, image/heif, image/jpeg, image/png, image/webp, pdf, 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 | no |
| Cheapest provider | inferx | kenari |
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
abacus, aiand, aihubmix, aiml, ambient, cortecs, deepinfra, edenai, empiriolabs, fastrouter, huggingface, impossibl, io-net, kenari, kilo, melious, moark, novita, ofox, openrouter, siliconflow, synthetic, trustedrouter, vercel
Frequently asked questions
Which is cheaper, Qwen3.6 27B or Kimi K2.7 Code?
Qwen3.6 27B is 95% cheaper than Kimi K2.7 Code on input price. Qwen3.6 27B is 89% cheaper than Kimi K2.7 Code on output price. Qwen3.6 27B is 92% cheaper than Kimi K2.7 Code on a 1M-in / 200k-out workload.
Which has the larger context, Qwen3.6 27B or Kimi K2.7 Code?
Qwen3.6 27B: 262K tokens; Kimi K2.7 Code: 262K tokens.
Where can I use both Qwen3.6 27B and Kimi K2.7 Code?
abacus, aiand, aihubmix, aiml, ambient, cortecs, deepinfra, edenai, empiriolabs, fastrouter, huggingface, impossibl, io-net, kenari, kilo, melious, moark, novita, ofox, openrouter, siliconflow, synthetic, trustedrouter, vercel