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Llama Guard 4 12B vs MiniMax M2

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.

Meta

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...

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MiniMax

MiniMax M2

MiniMax-M2 is a compact, high-efficiency large language model optimized for end-to-end coding and agentic workflows. With 10 billion activated parameters (230 billion total), it delivers near-frontier intelligence across general reasoning,...

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Technical Specifications

SpecificationLlama Guard 4 12BMiniMax M2
ProviderMetaMiniMax
Context Window163,840 tokens204,800 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelself hostablemanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-04-302025-10-23

API Pricing Comparison

Input Price per Million Tokens

Llama Guard 4 12B

$0.18

MiniMax M2

$0.26

Output Price per Million Tokens

Llama Guard 4 12B

$0.18

MiniMax M2

$1.02

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

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 Quirks & Gotchas

No developer gotchas reported.