Side-by-side comparison
Qwen3 Next 80B A3B Instruct (free) vs Owl Alpha
Qwen
Qwen3 Next 80B A3B Instruct (free)
🔧 Tools
{} JSON
Input / 1M
$0.0000
Output / 1M
$0.0000
| Qwen3 Next 80B A3B Instruct (free) | Owl Alpha | |
|---|---|---|
| Provider | Qwen | Openrouter |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 262,144 | 1,048,756 |
| 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, Qwen3 Next 80B A3B Instruct (free) or Owl Alpha?
Qwen3 Next 80B A3B Instruct (free) is cheaper than Owl Alpha 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, Qwen3 Next 80B A3B Instruct (free) or Owl Alpha?
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 Qwen3 Next 80B A3B Instruct (free) and Owl Alpha?
Qwen3 Next 80B A3B Instruct (free) comes from Qwen; Owl Alpha comes from Openrouter. They differ in pricing, context window, and supported capabilities — see the side-by-side table on this page for the exact figures, refreshed nightly.