AI Rate CardQwen3.6 27B vs Qwen3.8 27B: API price and specs
Qwen3.6 27B is 36% cheaper than Qwen3.8 27B on input price.
Qwen3.6 27B is 12% cheaper than Qwen3.8 27B on output price.
Qwen3.6 27B is 21% cheaper than Qwen3.8 27B on a 1M-in / 200k-out workload.
Qwen3.8 27B has a 331.5% larger context than Qwen3.6 27B.
| Field | Qwen3.6 27B | Qwen3.8 27B |
|---|---|---|
| Lowest input, per 1M | $0.025 | $0.039 +56% |
| Median input, per 1M | $0.40 +0.3% | $0.40 |
| Lowest output, per 1M | $0.28 | $0.32 +14.3% |
| Median output, per 1M | $3.19 +27.6% | $2.50 |
| Lowest unit price | — | — |
| Cost of 1M in + 200k out | $0.081 | $0.10 +27.2% |
| Context | 262K +76.8% | 1.1M |
| Max output | 262K +47.6% | 500K |
| Providers | 27 +43.8% | 48 |
| Regions | EU, GLOBAL, US | AU, CH, CZ, 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/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 | inferx | 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
abacus, aiand, aihubmix, aiml, ambient, chutes, cortecs, deepinfra, edenai, empiriolabs, fastrouter, huggingface, impossibl, inferx, io-net, kenari, kilo, melious, moark, novita, ofox, openrouter, ovhcloud, synthetic, trustedrouter, vercel
Frequently asked questions
Which is cheaper, Qwen3.6 27B or Qwen3.8 27B?
Qwen3.6 27B is 36% cheaper than Qwen3.8 27B on input price. Qwen3.6 27B is 12% cheaper than Qwen3.8 27B on output price. Qwen3.6 27B is 21% cheaper than Qwen3.8 27B on a 1M-in / 200k-out workload.
Which has the larger context, Qwen3.6 27B or Qwen3.8 27B?
Qwen3.6 27B: 262K tokens; Qwen3.8 27B: 1.1M tokens.
Where can I use both Qwen3.6 27B and Qwen3.8 27B?
abacus, aiand, aihubmix, aiml, ambient, chutes, cortecs, deepinfra, edenai, empiriolabs, fastrouter, huggingface, impossibl, inferx, io-net, kenari, kilo, melious, moark, novita, ofox, openrouter, ovhcloud, synthetic, trustedrouter, vercel