Side-by-side comparison
Virtuoso Large vs Relace Search
| Virtuoso Large | Relace Search | |
|---|---|---|
| Provider | Arcee AI | Relace |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 131,072 | 256,000 |
| 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 → | 0.7500 | 1.0000 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 1.2000 | 3.0000 |
Frequently asked questions
Which is cheaper, Virtuoso Large or Relace Search?
Virtuoso Large is cheaper than Relace Search on a 50/50 input/output blend by about $1.025 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, Virtuoso Large or Relace Search?
Relace Search has the larger context window at 256k tokens versus 131k tokens for Virtuoso Large. That means Relace Search can ingest about 2.0x as much text per request.
What is the difference between Virtuoso Large and Relace Search?
Virtuoso Large comes from Arcee AI; Relace Search comes from Relace. They differ in pricing, context window, and supported capabilities — see the side-by-side table on this page for the exact figures, refreshed nightly.