MiniMax M3 Thinking vs Llama-4-Maverick-17B-128E-Instruct-FP8
MiniMax M3 Thinking is cheaper on output tokens, while MiniMax M3 Thinking offers a larger context window. Choose MiniMax M3 Thinking 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 M3 Thinking | Llama-4-Maverick-17B-128E-Instruct-FP8 |
|---|---|---|
| Provider | NanoGPT | Vercel AI Gateway |
| Input / 1M tokens | $0.23 | $0.24 |
| Output / 1M tokens | $0.96 | $0.97 |
| Context window | 512K | 128K |
| Parameters | — | — |
| Open weights | Yes | Yes |
| Released | Jun 2026 | Apr 2025 |
| LiveBench score | 70.0 | — |
| GPQA Diamond score | — | 67.0 |
| FrontierMath score | — | 0.7 |
FAQ
Is MiniMax M3 Thinking or Llama-4-Maverick-17B-128E-Instruct-FP8 cheaper?
MiniMax M3 Thinking is cheaper on output tokens ($0.96 vs $0.97 per 1M).
Which has the larger context window, MiniMax M3 Thinking or Llama-4-Maverick-17B-128E-Instruct-FP8?
MiniMax M3 Thinking has the larger context window (512K tokens).
Pricing is indicative — confirm with the provider before production use. Highlighted values indicate the better figure for that row.