AI Rate CardQwen 2.5 VL 32B Instruct vs Qwen3.8 27B: API price and specs
Qwen3.8 27B is 22% cheaper than Qwen 2.5 VL 32B Instruct on input price.
Qwen 2.5 VL 32B Instruct is 31% cheaper than Qwen3.8 27B on output price.
Qwen 2.5 VL 32B Instruct is 9% cheaper than Qwen3.8 27B on a 1M-in / 200k-out workload.
Qwen3.8 27B has a 783.6% larger context than Qwen 2.5 VL 32B Instruct.
| Field | Qwen 2.5 VL 32B Instruct | Qwen3.8 27B |
|---|---|---|
| Lowest input, per 1M | $0.05 +28.2% | $0.039 |
| Median input, per 1M | $0.20 | $0.40 +100% |
| Lowest output, per 1M | $0.22 | $0.32 +45.5% |
| Median output, per 1M | $0.60 | $2.50 +316.7% |
| Lowest unit price | — | — |
| Cost of 1M in + 200k out | $0.094 | $0.10 +9.6% |
| Context | 128K +88.7% | 1.1M |
| Max output | 16K +96.7% | 500K |
| Providers | 5 +89.6% | 48 |
| Regions | US | AU, CH, CZ, EU, GLOBAL, US |
| Accepts | image, text, video | 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 | io-net | 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, io-net, meganova
Frequently asked questions
Which is cheaper, Qwen 2.5 VL 32B Instruct or Qwen3.8 27B?
Qwen3.8 27B is 22% cheaper than Qwen 2.5 VL 32B Instruct on input price. Qwen 2.5 VL 32B Instruct is 31% cheaper than Qwen3.8 27B on output price. Qwen 2.5 VL 32B Instruct is 9% cheaper than Qwen3.8 27B on a 1M-in / 200k-out workload.
Which has the larger context, Qwen 2.5 VL 32B Instruct or Qwen3.8 27B?
Qwen 2.5 VL 32B Instruct: 128K tokens; Qwen3.8 27B: 1.1M tokens.
Where can I use both Qwen 2.5 VL 32B Instruct and Qwen3.8 27B?
aihubmix, deepinfra, edenai, io-net, meganova