AI Rate CardQwen3 14B vs Qwen/Qwen3-VL-32B-Thinking: API price and specs
Qwen3 14B is 65% cheaper than Qwen/Qwen3-VL-32B-Thinking on input price.
Qwen3 14B is 85% cheaper than Qwen/Qwen3-VL-32B-Thinking on output price.
Qwen3 14B is 77% cheaper than Qwen/Qwen3-VL-32B-Thinking on a 1M-in / 200k-out workload.
Qwen/Qwen3-VL-32B-Thinking has a 100% larger context than Qwen3 14B.
| Field | Qwen3 14B | Qwen/Qwen3-VL-32B-Thinking |
|---|---|---|
| Lowest input, per 1M | $0.07 | $0.20 +185.7% |
| Median input, per 1M | $0.12 | $0.25 +108.2% |
| Lowest output, per 1M | $0.23 | $1.50 +557.9% |
| Median output, per 1M | $0.24 | $2.25 +837% |
| Lowest unit price | — | — |
| Cost of 1M in + 200k out | $0.12 | $0.50 +332.5% |
| Context | 131K +50% | 262K |
| Max output | 131K +50% | 262K |
| Providers | 12 | 2 +83.3% |
| Regions | EU, US | — |
| Accepts | text | image, text |
| Returns | text | text |
| Type | Text models | Text models |
| Free option | no | no |
| Cheapest provider | siliconflow | 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 14B or Qwen/Qwen3-VL-32B-Thinking?
Qwen3 14B is 65% cheaper than Qwen/Qwen3-VL-32B-Thinking on input price. Qwen3 14B is 85% cheaper than Qwen/Qwen3-VL-32B-Thinking on output price. Qwen3 14B is 77% cheaper than Qwen/Qwen3-VL-32B-Thinking on a 1M-in / 200k-out workload.
Which has the larger context, Qwen3 14B or Qwen/Qwen3-VL-32B-Thinking?
Qwen3 14B: 131K tokens; Qwen/Qwen3-VL-32B-Thinking: 262K tokens.
Where can I use both Qwen3 14B and Qwen/Qwen3-VL-32B-Thinking?
moark, siliconflow