Side-by-side comparison
R1 vs Relace Search
| R1 | Relace Search | |
|---|---|---|
| Provider | DeepSeek | Relace |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 64,000 | 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 → | 0.7000 | 1.0000 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 2.5000 | 3.0000 |
Frequently asked questions
Which is cheaper, R1 or Relace Search?
R1 is cheaper than Relace Search on a 50/50 input/output blend by about $0.4 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 Relace Search?
Relace Search has the larger context window at 256k tokens versus 64k tokens for R1. That means Relace Search can ingest about 4.0x as much text per request.
What is the difference between R1 and Relace Search?
R1 comes from DeepSeek; 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.