Side-by-side comparison
Saba vs Qwen2.5 72B Instruct
Qwen
Qwen2.5 72B Instruct
🔧 Tools
{} JSON
Input / 1M
$0.3600
Output / 1M
$0.4000
| Saba | Qwen2.5 72B Instruct | |
|---|---|---|
| Provider | Mistral | Qwen |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 32,768 | 32,768 |
| Capabilities Optional capabilities the model advertises: vision (images), tools (function calling), json_mode (structured output). | tools, json_mode | tools, json_mode |
| Input $ / 1M tokens Cost for tokens you send (prompt + context). Cheaper side highlighted. Glossary → | 0.2000 | 0.3600 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 0.6000 | 0.4000 |
Frequently asked questions
Which is cheaper, Saba or Qwen2.5 72B Instruct?
Qwen2.5 72B Instruct is cheaper than Saba on a 50/50 input/output blend by about $0.02 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 Saba and Qwen2.5 72B Instruct?
Saba comes from Mistral; Qwen2.5 72B Instruct comes from Qwen. They differ in pricing, context window, and supported capabilities — see the side-by-side table on this page for the exact figures, refreshed nightly.