MiniMax M2 vs Llama-4-Maverick-17B-128E-Instruct-FP8
Llama-4-Maverick-17B-128E-Instruct-FP8 is cheaper on output tokens, while MiniMax M2 offers a larger context window. Choose MiniMax M2 or Llama-4-Maverick-17B-128E-Instruct-FP8 based on the trade-off between cost, context, and the benchmarks that matter for your use case.
| Spec | MiniMax M2 | Llama-4-Maverick-17B-128E-Instruct-FP8 |
|---|---|---|
| Provider | MiniMax | Vercel AI Gateway |
| Input / 1M tokens | $0.26 | $0.24 |
| Output / 1M tokens | $1.02 | $0.97 |
| Context window | 205K | 128K |
| Parameters | 229B | — |
| Open weights | Yes | Yes |
| Released | Oct 2025 | Apr 2025 |
| SWE-bench Verified score | 61.0 | — |
| LMArena (Chatbot Arena) Elo score | 1340 | — |
| LMArena WebDev Elo score | 1297 | — |
| GPQA Diamond score | — | 67.0 |
| FrontierMath score | — | 0.7 |
FAQ
Is MiniMax M2 or Llama-4-Maverick-17B-128E-Instruct-FP8 cheaper?
Llama-4-Maverick-17B-128E-Instruct-FP8 is cheaper on output tokens ($0.97 vs $1.02 per 1M).
Which has the larger context window, MiniMax M2 or Llama-4-Maverick-17B-128E-Instruct-FP8?
MiniMax M2 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.