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Llama Guard 4 12B vs Qwen3 30B A3B Thinking 2507

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 Qwen3 30B A3B Thinking 2507.

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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Alibaba

Qwen3 30B A3B Thinking 2507

Qwen3-30B-A3B-Thinking-2507 is a 30B parameter Mixture-of-Experts reasoning model optimized for complex tasks requiring extended multi-step thinking. The model is designed specifically for “thinking mode,” where internal reasoning traces are separated...

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Technical Specifications

SpecificationLlama Guard 4 12BQwen3 30B A3B Thinking 2507
ProviderMetaAlibaba
Context Window163,840 tokens131,072 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelself hostableself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-04-302025-08-28

API Pricing Comparison

Input Price per Million Tokens

Llama Guard 4 12B

$0.18

Qwen3 30B A3B Thinking 2507

$0.13

Output Price per Million Tokens

Llama Guard 4 12B

$0.18

Qwen3 30B A3B Thinking 2507

$1.56

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.

Qwen3 30B A3B Thinking 2507 Quirks & Gotchas

No developer gotchas reported.