Qwen2.5-VL 72B Instruct vs Qwen3.5 397B-A17B: API price and specs
Qwen3.5 397B-A17B is 67% cheaper than Qwen2.5-VL 72B Instruct on input price.
Qwen2.5-VL 72B Instruct is 49% cheaper than Qwen3.5 397B-A17B on output price.
Qwen3.5 397B-A17B is 40% cheaper than Qwen2.5-VL 72B Instruct on a 1M-in / 200k-out workload.
Qwen3.5 397B-A17B has a 104.8% larger context than Qwen2.5-VL 72B Instruct.
| Field | Qwen2.5-VL 72B Instruct | Qwen3.5 397B-A17B |
|---|---|---|
| Lowest input, per 1M | $0.50 +204.1% | $0.16 |
| Median input, per 1M | $1.01 +83.6% | $0.55 |
| Lowest output, per 1M | $0.50 | $0.99 +97.3% |
| Median output, per 1M | $1.01 | $3.60 +256.4% |
| Lowest unit price | — | — |
| Cost of 1M in + 200k out | $0.60 +65.9% | $0.36 |
| Context | 128K +51.2% | 262K |
| Max output | 115K +56.1% | 262K |
| Providers | 10 +66.7% | 30 |
| Regions | EU | CH, EU, GLOBAL, US |
| Accepts | 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/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 | aihubmix | aihubmix |
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, cortecs, edenai, huggingface, jiekou, kilo, openrouter, ovhcloud, qiniu-ai, trustedrouter
Frequently asked questions
Which is cheaper, Qwen2.5-VL 72B Instruct or Qwen3.5 397B-A17B?
Qwen3.5 397B-A17B is 67% cheaper than Qwen2.5-VL 72B Instruct on input price. Qwen2.5-VL 72B Instruct is 49% cheaper than Qwen3.5 397B-A17B on output price. Qwen3.5 397B-A17B is 40% cheaper than Qwen2.5-VL 72B Instruct on a 1M-in / 200k-out workload.
Which has the larger context, Qwen2.5-VL 72B Instruct or Qwen3.5 397B-A17B?
Qwen2.5-VL 72B Instruct: 128K tokens; Qwen3.5 397B-A17B: 262K tokens.
Where can I use both Qwen2.5-VL 72B Instruct and Qwen3.5 397B-A17B?
aihubmix, cortecs, edenai, huggingface, jiekou, kilo, openrouter, ovhcloud, qiniu-ai, trustedrouter