| Signal | Llama 4 Scout | Delta | Nova 2 Lite |
|---|---|---|---|
Capabilities | 67 | -- | |
Pricing | 0 | -2 | |
Context window size | 88 | -8 | |
Recency | 70 | -30 | |
Output Capacity | 70 | -10 | |
| Overall Result | 0 wins | of 5 | 4 wins |
0
days ranked higher
0
days
30
days ranked higher
Meta
Amazon
Llama 4 Scout saves you $132.00/month
That's $1584.00/year compared to Nova 2 Lite at your current usage level of 100K calls/month.
| Metric | Llama 4 Scout | Nova 2 Lite | Winner |
|---|---|---|---|
| Overall Score | 72 | 81 | Nova 2 Lite |
| Rank | #108 | #68 | Nova 2 Lite |
| Quality Rank | #108 | #68 | Nova 2 Lite |
| Adoption Rank | #108 | #68 | Nova 2 Lite |
| Parameters | -- | -- | -- |
| Context Window | 328K | 1000K | Nova 2 Lite |
| Pricing | $0.08/$0.30/M | $0.30/$2.50/M | -- |
| Signal Scores | |||
| Capabilities | 67 | 67 | Llama 4 Scout |
| Pricing | 0 | 3 | Nova 2 Lite |
| Context window size | 88 | 95 | Nova 2 Lite |
| Recency | 70 | 100 | Nova 2 Lite |
| Output Capacity | 70 | 80 | Nova 2 Lite |
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 72/100 (rank #108), placing it in the top 63% of all 290 models tracked.
Scores 81/100 (rank #68), placing it in the top 77% of all 290 models tracked.
Nova 2 Lite has a 9-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.
Llama 4 Scout offers 86% better value per quality point. At 1M tokens/day, you'd spend $5.70/month with Llama 4 Scout vs $42.00/month with Nova 2 Lite — a $36.30 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 4 Scout also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (1000K 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 (81/100) 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
Nova 2 Lite has a moderate advantage with a 9-point lead in composite score. It wins on more signal dimensions, but Llama 4 Scout has specific strengths that could make it the better choice for certain workflows.
Best for Quality
Llama 4 Scout
Marginally better benchmark scores; both are excellent
Best for Cost
Llama 4 Scout
86% 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 2 Lite |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoningdiffers | ||
| Web Search | ||
| Image Output |
Meta
Amazon
Llama 4 Scout saves you $3.04/month
That's 86% cheaper than Nova 2 Lite 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 2 Lite |
|---|---|---|
| Context Window | 328K | 1M |
| Max Output Tokens | 16,384 | 65,535 |
| Open Source | Yes | No |
| Created | Apr 5, 2025 | Dec 2, 2025 |
Nova 2 Lite scores 81/100 (rank #68) compared to Llama 4 Scout's 72/100 (rank #108), giving it a 9-point advantage. Nova 2 Lite is the stronger overall choice, though Llama 4 Scout may excel in specific areas like cost efficiency.
Llama 4 Scout is ranked #108 and Nova 2 Lite is ranked #68 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 4 Scout is cheaper at $0.30/M output tokens vs Nova 2 Lite's $2.50/M output tokens — 8.3x more expensive. Input token pricing: Llama 4 Scout at $0.08/M vs Nova 2 Lite at $0.30/M.
Nova 2 Lite has a larger context window of 1,000,000 tokens compared to Llama 4 Scout's 327,680 tokens. A larger context window means the model can process longer documents and conversations.