Llama Guard 4 12B vs MiniMax M2.7
How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Llama Guard 4 12B and MiniMax M2.7.
Llama Guard 4 12B
Llama Guard 4 is a Llama 4 Scout-derived multimodal pretrained model, fine-tuned for content safety classification. Similar to previous versions, it can be used to classify content in both LLM...
MiniMax M2.7
MiniMax-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...
Technical Specifications
| Specification | Llama Guard 4 12B | MiniMax M2.7 |
|---|---|---|
| Provider | Meta | MiniMax |
| Context Window | 163,840 tokens | 204,800 tokens |
| Agent Suitability | N/A | N/A |
| Time to First Token (TTFT) | N/A | N/A |
| Deployment Model | self hostable | managed api |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2025-04-30 | 2026-03-18 |
API Pricing Comparison
Input Price per Million Tokens
Llama Guard 4 12B
$0.18
MiniMax M2.7
$0.18
Output Price per Million Tokens
Llama Guard 4 12B
$0.18
MiniMax M2.7
$0.72
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Benchmark Performance Metrics
Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.
Llama Guard 4 12B Quirks & Gotchas
No developer gotchas reported.
MiniMax M2.7 Quirks & Gotchas
No developer gotchas reported.