| Signal | Llama 4 Scout | Delta | Nova Pro 1.0 |
|---|---|---|---|
Capabilities | 67 | +17 | |
Benchmarks | 52 | +52 | |
Pricing | 100 | +3 | |
Context window size | 100 | +22 | |
Recency | 52 | +22 | |
Output Capacity | 70 | +8 | |
| Overall Result | 6 wins | of 6 | 0 wins |
Score History
54.9
current score
Llama 4 Scout
right now
40
current score
Meta
Amazon
Llama 4 Scout saves you $215.00/month
That's $2580.00/year compared to Nova Pro 1.0 at your current usage level of 100K calls/month.
| Metric | Llama 4 Scout | Nova Pro 1.0 | Winner |
|---|---|---|---|
| Overall Score | 55 | 40 | Llama 4 Scout |
| Rank | #150 | #281 | Llama 4 Scout |
| Quality Rank | #150 | #281 | Llama 4 Scout |
| Adoption Rank | #150 | #281 | Llama 4 Scout |
| Parameters | -- | -- | -- |
| Context Window | 10000K | 300K | Llama 4 Scout |
| Pricing | $0.10/$0.30/M | $0.80/$3.20/M | -- |
| Signal Scores | |||
| Capabilities | 67 | 50 | Llama 4 Scout |
| Benchmarks | 52 | -- | Llama 4 Scout |
| Pricing | 100 | 97 | Llama 4 Scout |
| Context window size | 100 | 78 | Llama 4 Scout |
| Recency | 52 | 30 | Llama 4 Scout |
| Output Capacity | 70 | 62 | Llama 4 Scout |
Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.
Scores 55/100 (rank #150), placing it in the top 49% of all 290 models tracked.
Scores 40/100 (rank #281), placing it in the top 3% of all 290 models tracked.
Llama 4 Scout has a 15-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.
Llama 4 Scout offers 90% better value per quality point. At 1M tokens/day, you'd spend $6.00/month with Llama 4 Scout vs $60.00/month with Nova Pro 1.0 - a $54.00 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
Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Suitable for user-facing chat with competitive response times. Llama 4 Scout also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (10000K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.30/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (55/100) 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 4 Scout clearly outperforms Nova Pro 1.0 with a significant 14.899999999999999-point lead. For most general use cases, Llama 4 Scout is the stronger choice. However, Nova Pro 1.0 may still excel in niche scenarios.
Best for Quality
Llama 4 Scout
Marginally better benchmark scores; both are excellent
Best for Cost
Llama 4 Scout
90% lower pricing; better value at scale
Best for Reliability
Llama 4 Scout
Higher uptime and faster response speeds
Best for Prototyping
Llama 4 Scout
Stronger community support and better developer experience
Best for Production
Llama 4 Scout
Wider enterprise adoption and proven at scale
by Meta
| Capability | Llama 4 Scout | Nova Pro 1.0 |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Meta
Amazon
Llama 4 Scout 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 4 Scout | Nova Pro 1.0 |
|---|---|---|
| Context Window | 10M | 300K |
| Max Output Tokens | 16,384 | 5,120 |
| Open Source | Yes | No |
| Created | Apr 5, 2025 | Dec 5, 2024 |