| Signal | Llama Guard 4 12B | Delta | Nova Pro 1.0 |
|---|---|---|---|
Capabilities | 50 | -- | |
Pricing | 0 | -3 | |
Context window size | 83 | -4 | |
Recency | 75 | +26 | |
Output Capacity | 20 | -42 | |
| Overall Result | 1 wins | of 5 | 3 wins |
4
days ranked higher
2
days
24
days ranked higher
Meta
Amazon
Llama Guard 4 12B saves you $213.00/month
That's $2556.00/year compared to Nova Pro 1.0 at your current usage level of 100K calls/month.
| Metric | Llama Guard 4 12B | Nova Pro 1.0 | Winner |
|---|---|---|---|
| Overall Score | 57 | 59 | Nova Pro 1.0 |
| Rank | #222 | #214 | Nova Pro 1.0 |
| Quality Rank | #222 | #214 | Nova Pro 1.0 |
| Adoption Rank | #222 | #214 | Nova Pro 1.0 |
| Parameters | 12B | -- | -- |
| Context Window | 164K | 300K | Nova Pro 1.0 |
| Pricing | $0.18/$0.18/M | $0.80/$3.20/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 50 | Llama Guard 4 12B |
| Pricing | 0 | 3 | Nova Pro 1.0 |
| Context window size | 83 | 87 | Nova Pro 1.0 |
| Recency | 75 | 48 | Llama Guard 4 12B |
| Output Capacity | 20 | 62 | Nova Pro 1.0 |
Our composite score (0–100) combines six weighted signals: benchmark performance (25%), pricing efficiency (25%), context window size (15%), model recency (15%), output capacity (10%), and capability versatility (10%). Here's what the scores mean for these two models:
Scores 57/100 (rank #222), placing it in the top 24% of all 290 models tracked.
Scores 59/100 (rank #214), placing it in the top 27% of all 290 models tracked.
With only a 2-point gap, these models are in the same performance tier. The practical difference in output quality is minimal — your choice should depend on pricing, latency requirements, and specific feature needs.
Llama Guard 4 12B offers 91% better value per quality point. At 1M tokens/day, you'd spend $5.40/month with Llama Guard 4 12B vs $60.00/month with Nova Pro 1.0 — a $54.60 monthly difference.
Both models have comparable response speeds. For most applications, the latency difference is negligible.
When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.
Code generation & review
Higher benchmark score (0/100) indicates stronger performance on coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Faster response time (speed score 0/100) is critical for user-facing chat. Llama Guard 4 12B also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (300K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.18/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (59/100) correlates with better nuance, coherence, and style in long-form content
Image understanding & OCR
Supports vision input — can analyze screenshots, diagrams, photos, and scanned documents directly
Llama Guard 4 12B and Nova Pro 1.0 are extremely close in overall performance (only 1.7999999999999972 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
Llama Guard 4 12B
Marginally better benchmark scores; both are excellent
Best for Cost
Llama Guard 4 12B
91% lower pricing; better value at scale
Best for Reliability
Llama Guard 4 12B
Higher uptime and faster response speeds
Best for Prototyping
Llama Guard 4 12B
Stronger community support and better developer experience
Best for Production
Llama Guard 4 12B
Wider enterprise adoption and proven at scale
by Meta
| Capability | Llama Guard 4 12B | Nova Pro 1.0 |
|---|---|---|
| Vision (Image Input) | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Meta
Amazon
Llama Guard 4 12B saves you $4.74/month
That's 90% cheaper than Nova Pro 1.0 at 1,000 tokens/request and 100 requests/day.
Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.
| Parameter | Llama Guard 4 12B | Nova Pro 1.0 |
|---|---|---|
| Context Window | 164K | 300K |
| Max Output Tokens | -- | 5,120 |
| Open Source | Yes | No |
| Created | Apr 30, 2025 | Dec 5, 2024 |
Nova Pro 1.0 scores 59/100 (rank #214) compared to Llama Guard 4 12B's 57/100 (rank #222), giving it a 2-point advantage. Nova Pro 1.0 is the stronger overall choice, though Llama Guard 4 12B may excel in specific areas like cost efficiency.
Llama Guard 4 12B is ranked #222 and Nova Pro 1.0 is ranked #214 out of 290+ AI models. Rankings use a composite score combining benchmark performance (25%), pricing (25%), context window (15%), recency (15%), output capacity (10%), and versatility (10%). Scores update hourly.
Llama Guard 4 12B is cheaper at $0.18/M output tokens vs Nova Pro 1.0's $3.20/M output tokens — 17.8x more expensive. Input token pricing: Llama Guard 4 12B at $0.18/M vs Nova Pro 1.0 at $0.80/M.
Nova Pro 1.0 has a larger context window of 300,000 tokens compared to Llama Guard 4 12B's 163,840 tokens. A larger context window means the model can process longer documents and conversations.