Side-by-side comparison
MiniMax M1 vs Virtuoso Large
| MiniMax M1 | Virtuoso Large | |
|---|---|---|
| Provider | MiniMax | Arcee AI |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 1,000,000 | 131,072 |
| 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 | 0.7500 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 2.2000 | 1.2000 |
Frequently asked questions
Which is cheaper, MiniMax M1 or Virtuoso Large?
Virtuoso Large is cheaper than MiniMax M1 on a 50/50 input/output blend by about $0.325 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 Virtuoso Large?
MiniMax M1 has the larger context window at 1M tokens versus 131k tokens for Virtuoso Large. That means MiniMax M1 can ingest about 7.6x as much text per request.
What is the difference between MiniMax M1 and Virtuoso Large?
MiniMax M1 comes from MiniMax; Virtuoso Large comes from Arcee AI. They differ in pricing, context window, and supported capabilities — see the side-by-side table on this page for the exact figures, refreshed nightly.