meta-llama

Meta: Llama 4 Scout

Llama 4 Scout from Meta-LLaMA is designed to handle both text and image inputs with a context length of 1,310,720 tokens. It supports tools integration but lacks reasoning capabilities or structured output options. The model's robust input modalities make it versatile for multimedia tasks. Considering its benchmark blended score of 9.5 across three independent evaluations, Llama 4 Scout is well-suited for users prioritizing a balance between cost and performance, with a price tag of $0.1 per million input tokens and $0.3 per million output tokens. This makes it particularly appealing for projects that require handling diverse data types while maintaining an effective budget.

Quality Score
99/100
price + capability + benchmarks
Input Price
$0.10
per 1M tokens
Output Price
$0.30
per 1M tokens
Context Window
1,310,720
tokens

Benchmark results

Independent, published benchmarks. Blended score 9.5 across 3 benchmarks, last refreshed 2026-08-13. How scoring works →

BenchmarkMeasuresScore
AI Index broad capability composite 16.9
AI Index Coding software engineering tasks 13.5
AI Index Agentic multi-step tool-using tasks 1.8
Model ID
meta-llama/llama-4-scout
Vendor
meta-llama
Released
April 2025
Tokenizer
Llama4
Input Modalities
text, image
Output Modalities
text
Max Output
16,384 tokens
Tool Calling
✓ supported
Structured Output
✓ supported
Reasoning Mode
not supported
Vision
✓ accepts images
Audio
no
Moderated
no

What it costs in practice

Computed from the current $0.10/M input and $0.30/M output rates. Run your own numbers →

JobTokensCost
Summarize a 50-page report 30k in / 1.5k out under $0.01
Classify 1,000 customer emails 500k in / 50k out $0.07
A month of a busy support chatbot 5M in / 2M out $1.10

Price & spec history

Tracked daily by PicksByModel since 2026-07-17.

DateInput /MOutput /MContext
2026-07-22 $0.10 $0.30 1,310,720
2026-07-17 $0.10 $0.30 10,000,000

Similar models

Quick answers

How much does Meta: Llama 4 Scout cost?
$0.10 per million input tokens and $0.30 per million output tokens.
What is Meta: Llama 4 Scout's context window?
1,310,720 tokens, roughly 1,966 pages of text in a single request.
Does Meta: Llama 4 Scout support tool calling?
It supports tool calling, structured output.
Can Meta: Llama 4 Scout process images?
Yes, it accepts image input.