Llama 4 Scout
Long-context Llama 4 with a 512K window, the open-weights answer to long-document workloads.
Llama 4 Scout is a efficient AI model from Meta. It costs $0.100 per million input tokens and $0.350 per million output tokens (blended $0.175/M), with a 512,000-token context window.
0.0%over 91 days · hover to read
- 512K context
- Open weights
- MoE efficiency
- Long document Q&A
- Codebase analysis
- Self-hosted long context
Benchmarks
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See all 20 →Price history
1 recorded change| Date | Rate | Was | Now | Change |
|---|---|---|---|---|
| 8 Jun 2026 | Input | $0.080 | $0.100 | +25% |
Rates per million tokens, as published by the provider or its router listing. Tracking runs since 3 May; anything earlier is not on record. See every tracked price change.
Frequently asked questions
How much does Llama 4 Scout cost?
Llama 4 Scout costs $0.100 per million input tokens and $0.350 per million output tokens, for a blended reference rate of $0.175 per million tokens.
What is Llama 4 Scout's context window?
Llama 4 Scout supports up to 512,000 tokens of context in a single request.
What is Llama 4 Scout best for?
Llama 4 Scout is well suited to 512K context, Open weights and MoE efficiency.
Who makes Llama 4 Scout?
Llama 4 Scout is developed and served by Meta.