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Llama Guard 4 12B vs R1 0528

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 R1 0528.

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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DeepSeek

R1 0528

May 28th update to the [original DeepSeek R1](/deepseek/deepseek-r1) Performance on par with [OpenAI o1](/openai/o1), but open-sourced and with fully open reasoning tokens. It's 671B parameters in size, with 37B active...

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Technical Specifications

SpecificationLlama Guard 4 12BR1 0528
ProviderMetaDeepSeek
Context Window163,840 tokens163,840 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelself hostableself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-04-302025-05-28

API Pricing Comparison

Input Price per Million Tokens

Llama Guard 4 12B

$0.18

R1 0528

$0.50

Output Price per Million Tokens

Llama Guard 4 12B

$0.18

R1 0528

$2.15

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.

R1 0528 Quirks & Gotchas

No developer gotchas reported.