AI Rate CardQwen 2.5 VL 32B Instruct vs Qwen3.6 35B-A3B: API price and specs
Qwen3.6 35B-A3B is 76% cheaper than Qwen 2.5 VL 32B Instruct on input price.
Qwen3.6 35B-A3B is 59% cheaper than Qwen 2.5 VL 32B Instruct on output price.
Qwen3.6 35B-A3B is 68% cheaper than Qwen 2.5 VL 32B Instruct on a 1M-in / 200k-out workload.
Qwen3.6 35B-A3B has a 104.8% larger context than Qwen 2.5 VL 32B Instruct.
| Field | Qwen 2.5 VL 32B Instruct | Qwen3.6 35B-A3B |
|---|---|---|
| Lowest input, per 1M | $0.05 +316.7% | $0.012 |
| Median input, per 1M | $0.20 +18.3% | $0.17 |
| Lowest output, per 1M | $0.22 +144.4% | $0.09 |
| Median output, per 1M | $0.60 | $1.01 +67.8% |
| Lowest unit price | — | — |
| Cost of 1M in + 200k out | $0.094 +213.3% | $0.03 |
| Context | 128K +51.2% | 262K |
| Max output | 16K +93.8% | 262K |
| Providers | 5 +81.5% | 27 |
| Regions | US | EU, GLOBAL, TW, US |
| Accepts | image, text, video | 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 |
| Returns | text | text |
| Type | Text models | Text models |
| Free option | no | no |
| Cheapest provider | io-net | inferx |
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 Qwen3.6 35B-A3B?
Qwen3.6 35B-A3B is 76% cheaper than Qwen 2.5 VL 32B Instruct on input price. Qwen3.6 35B-A3B is 59% cheaper than Qwen 2.5 VL 32B Instruct on output price. Qwen3.6 35B-A3B is 68% cheaper than Qwen 2.5 VL 32B Instruct on a 1M-in / 200k-out workload.
Which has the larger context, Qwen 2.5 VL 32B Instruct or Qwen3.6 35B-A3B?
Qwen 2.5 VL 32B Instruct: 128K tokens; Qwen3.6 35B-A3B: 262K tokens.
Where can I use both Qwen 2.5 VL 32B Instruct and Qwen3.6 35B-A3B?
aihubmix, deepinfra, edenai, io-net, meganova