Side-by-side comparison
R1 vs MiniMax M1
| R1 | MiniMax M1 | |
|---|---|---|
| Provider | DeepSeek | MiniMax |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 64,000 | 1,000,000 |
| 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 | 0.4000 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 2.5000 | 2.2000 |
Frequently asked questions
Which is cheaper, R1 or MiniMax M1?
MiniMax M1 is cheaper than R1 on a 50/50 input/output blend by about $0.3 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 MiniMax M1?
MiniMax M1 has the larger context window at 1M tokens versus 64k tokens for R1. That means MiniMax M1 can ingest about 15.6x as much text per request.
What is the difference between R1 and MiniMax M1?
R1 comes from DeepSeek; MiniMax M1 comes from MiniMax. They differ in pricing, context window, and supported capabilities — see the side-by-side table on this page for the exact figures, refreshed nightly.