Side-by-side comparison
Qwen3 14B vs gpt-oss-safeguard-20b
OpenAI
gpt-oss-safeguard-20b
🔧 Tools
{} JSON
Input / 1M
$0.0750
Output / 1M
$0.3000
| Qwen3 14B | gpt-oss-safeguard-20b | |
|---|---|---|
| Provider | Qwen | OpenAI |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 40,960 | 131,072 |
| 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 | 0.0750 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 0.2400 | 0.3000 |
Frequently asked questions
Which is cheaper, Qwen3 14B or gpt-oss-safeguard-20b?
Qwen3 14B is cheaper than gpt-oss-safeguard-20b on a 50/50 input/output blend by about $0.0175 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, Qwen3 14B or gpt-oss-safeguard-20b?
gpt-oss-safeguard-20b has the larger context window at 131k tokens versus 41k tokens for Qwen3 14B. That means gpt-oss-safeguard-20b can ingest about 3.2x as much text per request.
What is the difference between Qwen3 14B and gpt-oss-safeguard-20b?
Qwen3 14B comes from Qwen; gpt-oss-safeguard-20b comes from OpenAI. They differ in pricing, context window, and supported capabilities — see the side-by-side table on this page for the exact figures, refreshed nightly.