AI Rate CardQwen3 32B vs Qwen/Qwen3-VL-32B-Thinking: API price and specs
Qwen3 32B is 68% cheaper than Qwen/Qwen3-VL-32B-Thinking on input price.
Qwen3 32B is 85% cheaper than Qwen/Qwen3-VL-32B-Thinking on output price.
Qwen3 32B is 78% cheaper than Qwen/Qwen3-VL-32B-Thinking on a 1M-in / 200k-out workload.
Qwen/Qwen3-VL-32B-Thinking has a 99.9% larger context than Qwen3 32B.
| Field | Qwen3 32B | Qwen/Qwen3-VL-32B-Thinking |
|---|---|---|
| Lowest input, per 1M | $0.064 | $0.20 +212.5% |
| Median input, per 1M | $0.10 | $0.25 +140.3% |
| Lowest output, per 1M | $0.22 | $1.50 +569.6% |
| Median output, per 1M | $0.45 | $2.25 +399.7% |
| Lowest unit price | — | — |
| Cost of 1M in + 200k out | $0.11 | $0.50 +359.6% |
| Context | 131K +50% | 262K |
| Max output | 131K +50% | 262K |
| Providers | 22 | 2 +90.9% |
| Regions | EU, US | — |
| Accepts | text | image, text |
| Returns | text | text |
| Type | Text models | Text models |
| Free option | no | no |
| Cheapest provider | requesty | 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, Qwen3 32B or Qwen/Qwen3-VL-32B-Thinking?
Qwen3 32B is 68% cheaper than Qwen/Qwen3-VL-32B-Thinking on input price. Qwen3 32B is 85% cheaper than Qwen/Qwen3-VL-32B-Thinking on output price. Qwen3 32B is 78% cheaper than Qwen/Qwen3-VL-32B-Thinking on a 1M-in / 200k-out workload.
Which has the larger context, Qwen3 32B or Qwen/Qwen3-VL-32B-Thinking?
Qwen3 32B: 131K tokens; Qwen/Qwen3-VL-32B-Thinking: 262K tokens.
Where can I use both Qwen3 32B and Qwen/Qwen3-VL-32B-Thinking?
moark, siliconflow