Llama 4 Scout (Meta): live API pricing, context window and the best open-source alternatives, tracked daily by olud.ai.
Prices update automatically — checked hourly against provider list prices.
Independent benchmark scores for Llama 4 Scout, measured by Artificial Analysis. Higher is better.
Llama 4 Scout is an open-weight AI model by Meta. You can download and self-host it for free; the prices below are hosted-API list prices, tracked hourly, for when you prefer convenience over self-hosting.
Llama 4 Scout is an AI language model from Meta. It is open-weight: you can download it and run it on your own hardware, for free. It scores 10 on the Artificial Analysis intelligence index.
The weights are free and open — you can self-host Llama 4 Scout and pay nothing per token. If you prefer a hosted API, list prices are $0.1 per million input tokens and $0.3 per million output tokens.
Independent benchmarks from Artificial Analysis give it GPQA 58.7%, MMLU-Pro 75.2%, Humanity's Last Exam 4.3%, Long Context Reasoning 25.8%, LiveCodeBench 29.9%, SciCode 17%, MATH-500 84.4%, AIME 28.3%, AIME 2025 14%, IFBench 39.5%, τ²-Bench 15.5%, τ-Bench Banking 3.3%, Terminal-Bench 3.7%, Terminal-Bench Hard 1.5%. It is particularly used for code generation.
It generates about 83.3 tokens per second, with a median 0.61s delay before the first token. Measured independently by Artificial Analysis.
Yes. Llama 4 Scout has open weights, so you can download it and run it on your own GPU or server with tools like Ollama, vLLM or llama.cpp — with no per-token cost.