Meta: Llama 4 Maverick vs MiniMax: MiniMax M2.7
Side-by-side comparison — pricing, context window, capabilities, and live leaderboard data.
Key differences
- Meta: Llama 4 Maverick has a 1049K-token context window — 5.1× larger than MiniMax: MiniMax M2.7's 205K.
- Meta: Llama 4 Maverick is 46% cheaper per 1K input tokens than MiniMax: MiniMax M2.7 ($0.0001 vs $0.0003).
- Meta: Llama 4 Maverick is built by Meta; MiniMax: MiniMax M2.7 is built by MiniMax.
- Meta: Llama 4 Maverick supports vision (image inputs); the other does not.
Specifications
| Meta: Llama 4 Maverick | MiniMax: MiniMax M2.7 | |
|---|---|---|
| Provider | Meta | MiniMax |
| Context window | 1049K | 205K |
| Max output tokens | 8192 | 8192 |
| Input price / 1K tokens | $0.0001 | $0.0003 |
| Output price / 1K tokens | $0.0006 | $0.0012 |
| Vision support | Yes | No |
| Function calling | No | No |
| License | Proprietary | Proprietary |
About Meta: Llama 4 Maverick
US·ClosedLlama 4 Maverick 17B Instruct (128E) is a high-capacity multimodal language model from Meta, built on a mixture-of-experts (MoE) architecture with 128 experts and 17 billion active parameters per forward...
View Meta: Llama 4 Maverick reliability and benchmark history →About MiniMax: MiniMax M2.7
CN·ClosedMiniMax-M2.7 is a next-generation large language model designed for autonomous, real-world productivity and continuous improvement. Built to actively participate in its own evolution, M2.7 integrates advanced agentic capabilities through multi-agent...
View MiniMax: MiniMax M2.7 reliability and benchmark history →Try them yourself
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