DeepSeek V3.1 Terminus vs Qwen3 Next 80B A3B Instruct
DeepSeek V3.1 Terminus
Qwen3 Next 80B A3B Instruct
| DeepSeek V3.1 Terminus | Qwen3 Next 80B A3B Instruct | |
|---|---|---|
| Provider | DeepSeek | Qwen |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary β | 163,840 | 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 β | 0.2700 | 0.0900 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3β5Γ pricier than input. Glossary β | 0.9500 | 1.1000 |
Frequently asked questions
Which is cheaper, DeepSeek V3.1 Terminus or Qwen3 Next 80B A3B Instruct?
Qwen3 Next 80B A3B Instruct is cheaper than DeepSeek V3.1 Terminus on a 50/50 input/output blend by about $0.015 per 1M tokens. Exact savings depend on your input-vs-output ratio β use the cost calculator on this page for a workload-specific estimate.
Which has a larger context window, DeepSeek V3.1 Terminus or Qwen3 Next 80B A3B Instruct?
Qwen3 Next 80B A3B Instruct has the larger context window at 262k tokens versus 164k tokens for DeepSeek V3.1 Terminus. That means Qwen3 Next 80B A3B Instruct can ingest about 1.6x as much text per request.
What is the difference between DeepSeek V3.1 Terminus and Qwen3 Next 80B A3B Instruct?
DeepSeek V3.1 Terminus comes from DeepSeek; Qwen3 Next 80B A3B Instruct comes from Qwen. They differ in pricing, context window, and supported capabilities β see the side-by-side table on this page for the exact figures, refreshed nightly.