GPT-4.1 vs Llama 4 Scout
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 GPT-4.1 and Llama 4 Scout.
GPT-4.1
GPT-4.1 is a flagship large language model optimized for advanced instruction following, real-world software engineering, and long-context reasoning. It supports a 1 million token context window and outperforms GPT-4o and...
Llama 4 Scout
Llama 4 Scout 17B Instruct (16E) is a mixture-of-experts (MoE) language model developed by Meta, activating 17 billion parameters out of a total of 109B. It supports native multimodal input...
Technical Specifications
| Specification | GPT-4.1 | Llama 4 Scout |
|---|---|---|
| Provider | OpenAI | Meta |
| Context Window | 1,047,576 tokens | 10,000,000 tokens |
| Agent Suitability | 91/100 | 82/100 |
| Time to First Token (TTFT) | 250 ms | 350 ms |
| Deployment Model | managed api | self hostable |
| Production Stability | stable | beta |
| API Available | Yes | Yes |
| Released Date | 2025-04-14 | 2025-04-05 |
API Pricing Comparison
Input Price per Million Tokens
GPT-4.1
$2.00
Llama 4 Scout
$0.10
Output Price per Million Tokens
GPT-4.1
$8.00
Llama 4 Scout
$0.30
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Benchmark Performance Metrics
Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.
GPT-4.1 Quirks & Gotchas
- ▸Strong tool-calling reliability — good migration path from GPT-4o
- ▸Migrate to GPT-5 for larger context window and improved reasoning
Llama 4 Scout Quirks & Gotchas
- ▸10M context causes significant VRAM pressure — recommend 4-bit quantization
- ▸Primarily designed for RAG, not agentic tool calling