Side-by-side comparison
Qwen3 Next 80B A3B Thinking vs DeepSeek V3.1
Qwen
Qwen3 Next 80B A3B Thinking
🔧 Tools
{} JSON
Input / 1M
$0.0975
Output / 1M
$0.7800
| Qwen3 Next 80B A3B Thinking | DeepSeek V3.1 | |
|---|---|---|
| Provider | Qwen | DeepSeek |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 131,072 | 163,840 |
| 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 → | 0.0975 | 0.2100 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 0.7800 | 0.7900 |
Frequently asked questions
Which is cheaper, Qwen3 Next 80B A3B Thinking or DeepSeek V3.1?
Qwen3 Next 80B A3B Thinking is cheaper than DeepSeek V3.1 on a 50/50 input/output blend by about $0.0613 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 Thinking or DeepSeek V3.1?
DeepSeek V3.1 has the larger context window at 164k tokens versus 131k tokens for Qwen3 Next 80B A3B Thinking. That means DeepSeek V3.1 can ingest about 1.3x as much text per request.
What is the difference between Qwen3 Next 80B A3B Thinking and DeepSeek V3.1?
Qwen3 Next 80B A3B Thinking comes from Qwen; DeepSeek V3.1 comes from DeepSeek. They differ in pricing, context window, and supported capabilities — see the side-by-side table on this page for the exact figures, refreshed nightly.