Side-by-side comparison
Devstral Small 1.1 vs Qwen3 14B
Mistral
Devstral Small 1.1
🔧 Tools
{} JSON
Input / 1M
$0.1000
Output / 1M
$0.3000
| Devstral Small 1.1 | Qwen3 14B | |
|---|---|---|
| Provider | Mistral | Qwen |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 131,072 | 40,960 |
| 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 → | 0.1000 | 0.1000 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 0.3000 | 0.2400 |
Frequently asked questions
Which is cheaper, Devstral Small 1.1 or Qwen3 14B?
Qwen3 14B is cheaper than Devstral Small 1.1 on a 50/50 input/output blend by about $0.03 per 1M tokens. Exact savings depend on your input-vs-output ratio — use the cost calculator on this page for a workload-specific estimate.
Which has a larger context window, Devstral Small 1.1 or Qwen3 14B?
Devstral Small 1.1 has the larger context window at 131k tokens versus 41k tokens for Qwen3 14B. That means Devstral Small 1.1 can ingest about 3.2x as much text per request.
What is the difference between Devstral Small 1.1 and Qwen3 14B?
Devstral Small 1.1 comes from Mistral; Qwen3 14B 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.