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Command R (08-2024) vs Llama Guard 4 12B

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 Command R (08-2024) and Llama Guard 4 12B.

Cohere

Command R (08-2024)

command-r-08-2024 is an update of the [Command R](/models/cohere/command-r) with improved performance for multilingual retrieval-augmented generation (RAG) and tool use. More broadly, it is better at math, code and reasoning and...

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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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Technical Specifications

SpecificationCommand R (08-2024)Llama Guard 4 12B
ProviderCohereMeta
Context Window128,000 tokens163,840 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2024-08-302025-04-30

API Pricing Comparison

Input Price per Million Tokens

Command R (08-2024)

$0.15

Llama Guard 4 12B

$0.18

Output Price per Million Tokens

Command R (08-2024)

$0.60

Llama Guard 4 12B

$0.18

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.

Command R (08-2024) Quirks & Gotchas

No developer gotchas reported.

Llama Guard 4 12B Quirks & Gotchas

No developer gotchas reported.