Side-by-side comparison
Qwen-Turbo vs Gemma 3 12B
Google
Gemma 3 12B
👁 Vision
🔧 Tools
{} JSON
Input / 1M
$0.0400
Output / 1M
$0.1300
| Qwen-Turbo | Gemma 3 12B | |
|---|---|---|
| Provider | Qwen | |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 131,072 | 131,072 |
| Capabilities Optional capabilities the model advertises: vision (images), tools (function calling), json_mode (structured output). | tools, json_mode | vision, tools, json_mode |
| Input $ / 1M tokens Cost for tokens you send (prompt + context). Cheaper side highlighted. Glossary → | 0.0325 | 0.0400 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 0.1300 | 0.1300 |
Frequently asked questions
Which is cheaper, Qwen-Turbo or Gemma 3 12B?
Qwen-Turbo is cheaper than Gemma 3 12B on a 50/50 input/output blend by about $0.0038 per 1M tokens. Exact savings depend on your input-vs-output ratio — use the cost calculator on this page for a workload-specific estimate.
What is the difference between Qwen-Turbo and Gemma 3 12B?
Qwen-Turbo comes from Qwen; Gemma 3 12B comes from Google. They differ in pricing, context window, and supported capabilities — see the side-by-side table on this page for the exact figures, refreshed nightly.