Gemini 2.5 Pro 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 Gemini 2.5 Pro and Llama Guard 4 12B.
Gemini 2.5 Pro
Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs “thinking” capabilities, enabling it to reason through responses with enhanced accuracy...
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...
Technical Specifications
| Specification | Gemini 2.5 Pro | Llama Guard 4 12B |
|---|---|---|
| Provider | Meta | |
| Context Window | 1,048,576 tokens | 163,840 tokens |
| Agent Suitability | 90/100 | N/A |
| Time to First Token (TTFT) | 450 ms | N/A |
| Deployment Model | managed api | self hostable |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2025-06-17 | 2025-04-30 |
API Pricing Comparison
Input Price per Million Tokens
Gemini 2.5 Pro
$1.25
Llama Guard 4 12B
$0.18
Output Price per Million Tokens
Gemini 2.5 Pro
$10.00
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.
Gemini 2.5 Pro Quirks & Gotchas
- ▸Legacy model — migrate to Gemini 3.1 Pro for better tool calling and lower latency
Llama Guard 4 12B Quirks & Gotchas
No developer gotchas reported.