Side-by-side comparison
R1 vs Virtuoso Large
| R1 | Virtuoso Large | |
|---|---|---|
| Provider | DeepSeek | Arcee AI |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 64,000 | 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 → | 0.7000 | 0.7500 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 2.5000 | 1.2000 |
Frequently asked questions
Which is cheaper, R1 or Virtuoso Large?
Virtuoso Large is cheaper than R1 on a 50/50 input/output blend by about $0.625 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, R1 or Virtuoso Large?
Virtuoso Large has the larger context window at 131k tokens versus 64k tokens for R1. That means Virtuoso Large can ingest about 2.0x as much text per request.
What is the difference between R1 and Virtuoso Large?
R1 comes from DeepSeek; 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.