Llama 4 Scout by Meta demonstrates competitive pricing. View detailed benchmark data including scores across coding, math, reasoning, speed, and cost metrics.
General Benchmarks
Coding Benchmarks
Reasoning Benchmarks
Speed Benchmarks
Cost Benchmarks
Context Benchmarks
Llama 4 Scout — Benchmark Scores Overview
Scores normalized to percentage scale for visual comparison. ELO scores mapped to 0-100 range (1100-1500).
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Llama 4 Scout — Frequently Asked Questions
How intelligent is Llama 4 Scout?
Llama 4 Scout scores 1240 on the Chatbot Arena ELO rating, making it an entry-level AI model. This score is based on blind head-to-head human preference voting.
How much does Llama 4 Scout cost?
Llama 4 Scout costs $0.17 per 1M input tokens and $0.50 per 1M output tokens. This makes it one of the more affordable models.
How fast is Llama 4 Scout?
Llama 4 Scout generates output at 140 tokens per second, which is moderate compared to other models. The time to first token is 330 ms.
How good is Llama 4 Scout at coding?
Llama 4 Scout achieves 28.0% on SWE-bench Verified, demonstrating basic real-world software engineering capability. This benchmark tests the model's ability to resolve actual GitHub issues.
How good is Llama 4 Scout at math and reasoning?
Llama 4 Scout scores 68.0% on the MATH benchmark (competition-level mathematics). It also achieves 38.0% on GPQA Diamond, a graduate-level science reasoning benchmark.
What is the context window of Llama 4 Scout?
Llama 4 Scout has a context window of 10.0M tokens. This determines how much text, conversation history, and code the model can process in a single request.
Who created Llama 4 Scout?
Llama 4 Scout was created by Meta. It is classified as a open source model in the AI Value Index.
Is Llama 4 Scout open source?
Yes, Llama 4 Scout is an open-source model. The model weights are publicly available for download and self-hosting.