AI Rate Card

Qwen3 32B vs Schematron V2 Turbo: API price and specs

Schematron V2 Turbo is 53% cheaper than Qwen3 32B on input price.

Schematron V2 Turbo is 33% cheaper than Qwen3 32B on output price.

Schematron V2 Turbo is 45% cheaper than Qwen3 32B on a 1M-in / 200k-out workload.

Qwen3 32B has a 2.4% larger context than Schematron V2 Turbo.

FieldQwen3 32BSchematron V2 Turbo
Lowest input, per 1M$0.064 +113.3%$0.03
Median input, per 1M$0.10 +246.7%$0.03
Lowest output, per 1M$0.22 +49.3%$0.15
Median output, per 1M$0.45 +200%$0.15
Lowest unit price——
Cost of 1M in + 200k out$0.11 +81.3%$0.06
Context131K128K +2.3%
Max output131K8K +93.7%
Providers224 +81.8%
RegionsEU, US—
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TypeText modelsText models
Free optionnono
Cheapest providerrequestykilo

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

aiml, kilo, openrouter, vercel

Frequently asked questions

Which is cheaper, Qwen3 32B or Schematron V2 Turbo?

Schematron V2 Turbo is 53% cheaper than Qwen3 32B on input price. Schematron V2 Turbo is 33% cheaper than Qwen3 32B on output price. Schematron V2 Turbo is 45% cheaper than Qwen3 32B on a 1M-in / 200k-out workload.

Which has the larger context, Qwen3 32B or Schematron V2 Turbo?

Qwen3 32B: 131K tokens; Schematron V2 Turbo: 128K tokens.

Where can I use both Qwen3 32B and Schematron V2 Turbo?

aiml, kilo, openrouter, vercel