AI Rate CardQwen2.5 7B Instruct vs Qwen/Qwen3-VL-32B-Thinking: API price and specs
Qwen2.5 7B Instruct is 80% cheaper than Qwen/Qwen3-VL-32B-Thinking on input price.
Qwen2.5 7B Instruct is 97% cheaper than Qwen/Qwen3-VL-32B-Thinking on output price.
Qwen2.5 7B Instruct is 90% cheaper than Qwen/Qwen3-VL-32B-Thinking on a 1M-in / 200k-out workload.
Qwen/Qwen3-VL-32B-Thinking has a 693.9% larger context than Qwen2.5 7B Instruct.
| Field | Qwen2.5 7B Instruct | Qwen/Qwen3-VL-32B-Thinking |
|---|---|---|
| Lowest input, per 1M | $0.04 | $0.20 +400% |
| Median input, per 1M | $0.085 | $0.25 +194% |
| Lowest output, per 1M | $0.05 | $1.50 +2900% |
| Median output, per 1M | $0.15 | $2.25 +1399.2% |
| Lowest unit price | — | — |
| Cost of 1M in + 200k out | $0.05 | $0.50 +900% |
| Context | 33K +87.4% | 262K |
| Max output | 29K +88.7% | 262K |
| Providers | 9 | 2 +77.8% |
| Regions | US | — |
| Accepts | text | image, text |
| Returns | text | text |
| Type | Text models | Text models |
| Free option | no | no |
| Cheapest provider | deepinfra | siliconflow |
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
Frequently asked questions
Which is cheaper, Qwen2.5 7B Instruct or Qwen/Qwen3-VL-32B-Thinking?
Qwen2.5 7B Instruct is 80% cheaper than Qwen/Qwen3-VL-32B-Thinking on input price. Qwen2.5 7B Instruct is 97% cheaper than Qwen/Qwen3-VL-32B-Thinking on output price. Qwen2.5 7B Instruct is 90% cheaper than Qwen/Qwen3-VL-32B-Thinking on a 1M-in / 200k-out workload.
Which has the larger context, Qwen2.5 7B Instruct or Qwen/Qwen3-VL-32B-Thinking?
Qwen2.5 7B Instruct: 33K tokens; Qwen/Qwen3-VL-32B-Thinking: 262K tokens.
Where can I use both Qwen2.5 7B Instruct and Qwen/Qwen3-VL-32B-Thinking?
moark, siliconflow