AI Rate CardQwen2.5-VL 72B Instruct vs Qwen3 30B A3B Thinking 2507: API price and specs
Qwen3 30B A3B Thinking 2507 is 78% cheaper than Qwen2.5-VL 72B Instruct on input price.
Qwen2.5-VL 72B Instruct is 54% cheaper than Qwen3 30B A3B Thinking 2507 on output price.
Qwen3 30B A3B Thinking 2507 is 46% cheaper than Qwen2.5-VL 72B Instruct on a 1M-in / 200k-out workload.
Qwen3 30B A3B Thinking 2507 has a 104.8% larger context than Qwen2.5-VL 72B Instruct.
| Field | Qwen2.5-VL 72B Instruct | Qwen3 30B A3B Thinking 2507 |
|---|---|---|
| Lowest input, per 1M | $0.50 +360% | $0.11 |
| Median input, per 1M | $1.01 +741.7% | $0.12 |
| Lowest output, per 1M | $0.50 | $1.09 +117.4% |
| Median output, per 1M | $1.01 | $1.20 +18.8% |
| Lowest unit price | — | — |
| Cost of 1M in + 200k out | $0.60 +84% | $0.33 |
| Context | 128K +51.2% | 262K |
| Max output | 115K | 33K +71.6% |
| Providers | 10 | 4 +60% |
| Regions | EU | GLOBAL |
| 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 | text |
| Returns | text | text |
| Type | Text models | Text models |
| Free option | no | no |
| Cheapest provider | aihubmix | qiniu-ai |
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, edenai, kilo, qiniu-ai
Frequently asked questions
Which is cheaper, Qwen2.5-VL 72B Instruct or Qwen3 30B A3B Thinking 2507?
Qwen3 30B A3B Thinking 2507 is 78% cheaper than Qwen2.5-VL 72B Instruct on input price. Qwen2.5-VL 72B Instruct is 54% cheaper than Qwen3 30B A3B Thinking 2507 on output price. Qwen3 30B A3B Thinking 2507 is 46% 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 30B A3B Thinking 2507?
Qwen2.5-VL 72B Instruct: 128K tokens; Qwen3 30B A3B Thinking 2507: 262K tokens.
Where can I use both Qwen2.5-VL 72B Instruct and Qwen3 30B A3B Thinking 2507?
aihubmix, edenai, kilo, qiniu-ai