Side-by-side comparison
Qwen3 Next 80B A3B Thinking vs Llama 3.1 70B Instruct
Qwen
Qwen3 Next 80B A3B Thinking
🔧 Tools
{} JSON
Input / 1M
$0.0975
Output / 1M
$0.7800
Meta
Llama 3.1 70B Instruct
🔧 Tools
{} JSON
Input / 1M
$0.4000
Output / 1M
$0.4000
| Qwen3 Next 80B A3B Thinking | Llama 3.1 70B Instruct | |
|---|---|---|
| Provider | Qwen | Meta |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 131,072 | 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 → | 0.0975 | 0.4000 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 0.7800 | 0.4000 |
Frequently asked questions
Which is cheaper, Qwen3 Next 80B A3B Thinking or Llama 3.1 70B Instruct?
Llama 3.1 70B Instruct is cheaper than Qwen3 Next 80B A3B Thinking on a 50/50 input/output blend by about $0.0388 per 1M tokens. Exact savings depend on your input-vs-output ratio — use the cost calculator on this page for a workload-specific estimate.
What is the difference between Qwen3 Next 80B A3B Thinking and Llama 3.1 70B Instruct?
Qwen3 Next 80B A3B Thinking comes from Qwen; Llama 3.1 70B Instruct comes from Meta. They differ in pricing, context window, and supported capabilities — see the side-by-side table on this page for the exact figures, refreshed nightly.