Side-by-side comparison
Relace Apply 3 vs MiniMax M2-her
| Relace Apply 3 | MiniMax M2-her | |
|---|---|---|
| Provider | Relace | MiniMax |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 256,000 | 65,536 |
| Capabilities Optional capabilities the model advertises: vision (images), tools (function calling), json_mode (structured output). | text-only | text-only |
| Input $ / 1M tokens Cost for tokens you send (prompt + context). Cheaper side highlighted. Glossary → | 0.8500 | 0.3000 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 1.2500 | 1.2000 |
Frequently asked questions
Which is cheaper, Relace Apply 3 or MiniMax M2-her?
MiniMax M2-her is cheaper than Relace Apply 3 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, Relace Apply 3 or MiniMax M2-her?
Relace Apply 3 has the larger context window at 256k tokens versus 66k tokens for MiniMax M2-her. That means Relace Apply 3 can ingest about 3.9x as much text per request.
What is the difference between Relace Apply 3 and MiniMax M2-her?
Relace Apply 3 comes from Relace; MiniMax M2-her 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.