MiniMax M2.7 vs Auto model (Standard)
MiniMax M2.7 is cheaper on output tokens, while Auto model (Standard) offers a larger context window. Choose MiniMax M2.7 or Auto model (Standard) based on the trade-off between cost, context, and the benchmarks that matter for your use case.
| Spec | MiniMax M2.7 | Auto model (Standard) |
|---|---|---|
| Provider | MiniMax | NanoGPT |
| Input / 1M tokens | $0.30 | $10.00 |
| Output / 1M tokens | $1.20 | $19.99 |
| Context window | 205K | 1M |
| Parameters | — | — |
| Open weights | Yes | No |
| Released | Mar 2026 | Apr 2025 |
| LiveBench score | 65.0 | — |
| LMArena (Chatbot Arena) Elo score | 1405 | — |
| LMArena WebDev Elo score | 1399 | — |
| Epoch Capabilities Index score | 146 | — |
FAQ
Is MiniMax M2.7 or Auto model (Standard) cheaper?
MiniMax M2.7 is cheaper on output tokens ($1.20 vs $19.99 per 1M).
Which has the larger context window, MiniMax M2.7 or Auto model (Standard)?
Auto model (Standard) has the larger context window (1M tokens).
Pricing is indicative — confirm with the provider before production use. Highlighted values indicate the better figure for that row.