Side-by-side comparison
Owl Alpha vs Qwen3 Next 80B A3B Instruct (free)
Qwen
Qwen3 Next 80B A3B Instruct (free)
🔧 Tools
{} JSON
Input / 1M
$0.0000
Output / 1M
$0.0000
| Owl Alpha | Qwen3 Next 80B A3B Instruct (free) | |
|---|---|---|
| Provider | Openrouter | Qwen |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 1,048,756 | 262,144 |
| 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 → | 0.0000 | 0.0000 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 0.0000 | 0.0000 |
Frequently asked questions
Which is cheaper, Owl Alpha or Qwen3 Next 80B A3B Instruct (free)?
Owl Alpha is cheaper than Qwen3 Next 80B A3B Instruct (free) on a 50/50 input/output blend by about $0 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, Owl Alpha or Qwen3 Next 80B A3B Instruct (free)?
Owl Alpha has the larger context window at 1M tokens versus 262k tokens for Qwen3 Next 80B A3B Instruct (free). That means Owl Alpha can ingest about 4.0x as much text per request.
What is the difference between Owl Alpha and Qwen3 Next 80B A3B Instruct (free)?
Owl Alpha comes from Openrouter; Qwen3 Next 80B A3B Instruct (free) 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.