| Signal | GPT-5.4 Nano | Delta | Llama 4 Scout |
|---|---|---|---|
Capabilities | 100 | +33 | |
Pricing | 1 | +1 | |
Context window size | 89 | +1 | |
Recency | 100 | +31 | |
Output Capacity | 85 | +15 | |
| Overall Result | 5 wins | of 5 | 0 wins |
30
days ranked higher
0
days
0
days ranked higher
OpenAI
Meta
Llama 4 Scout saves you $59.50/month
That's $714.00/year compared to GPT-5.4 Nano at your current usage level of 100K calls/month.
| Metric | GPT-5.4 Nano | Llama 4 Scout | Winner |
|---|---|---|---|
| Overall Score | 85 | 72 | GPT-5.4 Nano |
| Rank | #24 | #144 | GPT-5.4 Nano |
| Quality Rank | #24 | #144 | GPT-5.4 Nano |
| Adoption Rank | #24 | #144 | GPT-5.4 Nano |
| Parameters | -- | -- | -- |
| Context Window | 400K | 328K | GPT-5.4 Nano |
| Pricing | $0.20/$1.25/M | $0.08/$0.30/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 67 | GPT-5.4 Nano |
| Pricing | 1 | 0 | GPT-5.4 Nano |
| Context window size | 89 | 88 | GPT-5.4 Nano |
| Recency | 100 | 69 | GPT-5.4 Nano |
| Output Capacity | 85 | 70 | GPT-5.4 Nano |
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 85/100 (rank #24), placing it in the top 92% of all 290 models tracked.
Scores 72/100 (rank #144), placing it in the top 51% of all 290 models tracked.
GPT-5.4 Nano has a 13-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.
Llama 4 Scout offers 74% better value per quality point. At 1M tokens/day, you'd spend $5.70/month with Llama 4 Scout vs $21.75/month with GPT-5.4 Nano - a $16.05 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 (400K 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 (85/100) 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
GPT-5.4 Nano clearly outperforms Llama 4 Scout with a significant 12.900000000000006-point lead. For most general use cases, GPT-5.4 Nano is the stronger choice. However, Llama 4 Scout may still excel in niche scenarios.
Best for Quality
GPT-5.4 Nano
Marginally better benchmark scores; both are excellent
Best for Cost
Llama 4 Scout
74% lower pricing; better value at scale
Best for Reliability
GPT-5.4 Nano
Higher uptime and faster response speeds
Best for Prototyping
GPT-5.4 Nano
Stronger community support and better developer experience
Best for Production
GPT-5.4 Nano
Wider enterprise adoption and proven at scale
by OpenAI
| Capability | GPT-5.4 Nano | Llama 4 Scout |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Searchdiffers | ||
| Image Output |
OpenAI
Meta
Llama 4 Scout saves you $1.36/month
That's 73% cheaper than GPT-5.4 Nano 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 | GPT-5.4 Nano | Llama 4 Scout |
|---|---|---|
| Context Window | 400K | 328K |
| Max Output Tokens | 128,000 | 16,384 |
| Open Source | No | Yes |
| Created | Mar 17, 2026 | Apr 5, 2025 |
GPT-5.4 Nano scores 85/100 (rank #24) compared to Llama 4 Scout's 72/100 (rank #144), giving it a 13-point advantage. GPT-5.4 Nano is the stronger overall choice, though Llama 4 Scout may excel in specific areas like cost efficiency.
GPT-5.4 Nano is ranked #24 and Llama 4 Scout is ranked #144 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 GPT-5.4 Nano's $1.25/M output tokens - 4.2x more expensive. Input token pricing: GPT-5.4 Nano at $0.20/M vs Llama 4 Scout at $0.08/M.
GPT-5.4 Nano has a larger context window of 400,000 tokens compared to Llama 4 Scout's 327,680 tokens. A larger context window means the model can process longer documents and conversations.