Llama-xLAM-2 70B fc-r vs MiniMax M2-her
MiniMax M2-her is cheaper on output tokens, while Llama-xLAM-2 70B fc-r offers a larger context window. Choose Llama-xLAM-2 70B fc-r or MiniMax M2-her based on the trade-off between cost, context, and the benchmarks that matter for your use case.
| Spec | Llama-xLAM-2 70B fc-r | MiniMax M2-her |
|---|---|---|
| Provider | NanoGPT | NanoGPT |
| Input / 1M tokens | $2.50 | $0.30 |
| Output / 1M tokens | $2.50 | $1.21 |
| Context window | 128K | 66K |
| Parameters | — | — |
| Open weights | Yes | No |
| Released | Apr 2025 | Jan 2026 |
FAQ
Is Llama-xLAM-2 70B fc-r or MiniMax M2-her cheaper?
MiniMax M2-her is cheaper on output tokens ($1.21 vs $2.50 per 1M).
Which has the larger context window, Llama-xLAM-2 70B fc-r or MiniMax M2-her?
Llama-xLAM-2 70B fc-r has the larger context window (128K tokens).
Pricing is indicative — confirm with the provider before production use. Highlighted values indicate the better figure for that row.