Llama-xLAM-2 70B fc-r vs MiniMax M2.7 Turbo
MiniMax M2.7 Turbo is cheaper on output tokens, while MiniMax M2.7 Turbo offers a larger context window. Choose Llama-xLAM-2 70B fc-r or MiniMax M2.7 Turbo 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 M2.7 Turbo |
|---|---|---|
| Provider | NanoGPT | NanoGPT |
| Input / 1M tokens | $2.50 | $0.60 |
| Output / 1M tokens | $2.50 | $2.40 |
| Context window | 128K | 205K |
| Parameters | — | — |
| Open weights | Yes | Yes |
| Released | Apr 2025 | Mar 2026 |
FAQ
Is Llama-xLAM-2 70B fc-r or MiniMax M2.7 Turbo cheaper?
MiniMax M2.7 Turbo is cheaper on output tokens ($2.40 vs $2.50 per 1M).
Which has the larger context window, Llama-xLAM-2 70B fc-r or MiniMax M2.7 Turbo?
MiniMax M2.7 Turbo has the larger context window (205K tokens).
Pricing is indicative — confirm with the provider before production use. Highlighted values indicate the better figure for that row.