Side-by-side comparison
MiniMax M1 vs Llama 3 Euryale 70B v2.1
Sao10K
Llama 3 Euryale 70B v2.1
🔧 Tools
Input / 1M
$1.4800
Output / 1M
$1.4800
| MiniMax M1 | Llama 3 Euryale 70B v2.1 | |
|---|---|---|
| Provider | MiniMax | Sao10K |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 1,000,000 | 8,192 |
| Capabilities Optional capabilities the model advertises: vision (images), tools (function calling), json_mode (structured output). | tools | tools |
| Input $ / 1M tokens Cost for tokens you send (prompt + context). Cheaper side highlighted. Glossary → | 0.4000 | 1.4800 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 2.2000 | 1.4800 |
Frequently asked questions
Which is cheaper, MiniMax M1 or Llama 3 Euryale 70B v2.1?
MiniMax M1 is cheaper than Llama 3 Euryale 70B v2.1 on a 50/50 input/output blend by about $0.18 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, MiniMax M1 or Llama 3 Euryale 70B v2.1?
MiniMax M1 has the larger context window at 1M tokens versus 8k tokens for Llama 3 Euryale 70B v2.1. That means MiniMax M1 can ingest about 122.1x as much text per request.
What is the difference between MiniMax M1 and Llama 3 Euryale 70B v2.1?
MiniMax M1 comes from MiniMax; Llama 3 Euryale 70B v2.1 comes from Sao10K. They differ in pricing, context window, and supported capabilities — see the side-by-side table on this page for the exact figures, refreshed nightly.