meta-llama

Meta: Llama 4 Scout

Meta's Llama 4 Scout is capable of processing both text and image inputs within an expansive context length of 1,310,720 tokens, making it suitable for complex multi-modal tasks. This model supports the integration of external tools but lacks explicit reasoning or structured output capabilities. The decision to shortlist Llama 4 Scout should consider its blend score of 9.3 across three benchmarks, positioning it as a robust choice for general AI applications. With pricing at $0.1 per million input tokens and $0.3 per million output tokens, while not free, it offers competitive value for those who need multi-modal processing capabilities.

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 9.3 across 3 benchmarks, last refreshed 2026-07-29. How scoring works →

BenchmarkMeasuresScore
AI Index broad capability composite 16.6
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.