โ† Back to Model Hub/SIDE-BY-SIDE REVIEW
SHARE THIS:

Claude Opus 4.8 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 Claude Opus 4.8 and Llama Guard 4 12B.

Anthropic

Claude Opus 4.8

Claude Opus 4.8 is Anthropic's most capable generally available model in the Opus family. It supports text, image, and file inputs with text output, with reasoning support and a 1M-token...

View Full Specs
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...

View Full Specs

Technical Specifications

SpecificationClaude Opus 4.8Llama Guard 4 12B
ProviderAnthropicMeta
Context Window1,000,000 tokens163,840 tokens
Agent Suitability97/100N/A
Time to First Token (TTFT)520 msN/A
Deployment Modelmanaged apiself hostable
Production Stabilitybetastable
API AvailableYesYes
Released Date2026-05-272025-04-30

API Pricing Comparison

Input Price per Million Tokens

Claude Opus 4.8

$5.00

Llama Guard 4 12B

$0.18

Output Price per Million Tokens

Claude Opus 4.8

$25.00

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.

MMLUGeneral knowledge & multi-task understanding
9540.0%vsN/A
Claude Opus 4.8
Llama Guard 4 12B
HumanEvalPython coding & logic synthesis
9720.0%vsN/A
Claude Opus 4.8
Llama Guard 4 12B
MATHComplex mathematical problem solving
9410.0%vsN/A
Claude Opus 4.8
Llama Guard 4 12B
GPQAGraduate-level expert reasoning
8650.0%vsN/A
Claude Opus 4.8
Llama Guard 4 12B
HellaSwagCommonsense reasoning and inference
9920.0%vsN/A
Claude Opus 4.8
Llama Guard 4 12B
MT-BenchMulti-turn conversation flow quality
980.0%vsN/A
Claude Opus 4.8
Llama Guard 4 12B

Claude Opus 4.8 Quirks & Gotchas

  • โ–ธBest-in-class for autonomous code repair and multi-agent orchestration
  • โ–ธPreview model โ€” API may introduce breaking changes without notice

Llama Guard 4 12B Quirks & Gotchas

No developer gotchas reported.