Claude Fable 5$22.000/MClaude Opus 4.8$11.000/MClaude Opus 4.7$11.000/MClaude Opus 4.6$11.000/MClaude Opus 4.5$33.000/MClaude Sonnet 3.7$6.600/MClaude Opus 3$33.000/MClaude 2.1$12.800/MClaude 2$12.800/MGPT-5.5$12.500/MGPT-5.2$5.425/MGPT-5.2-Codex$5.425/MGPT-5$3.875/MGPT-4.5$97.500/MGPT-4 Turbo Preview$16.000/MGPT-4$39.000/MGPT-4-32k$78.000/Mo3$19.000/Mo3-mini$2.090/Mo4-mini$2.090/Mo1$28.500/Mo1-mini$5.700/Mo1-preview$28.500/MGemini 3.5 Pro$5.000/MGemini 3.1 Pro$5.000/MGemini 3 Pro$5.000/MGemini 2.5 Pro$3.875/MGemini 1.5 Pro$2.375/MGemini 1.0 Ultra$12.000/MGemini 1.0 Pro$0.800/MClaude Fable 5$22.000/MClaude Opus 4.8$11.000/MClaude Opus 4.7$11.000/MClaude Opus 4.6$11.000/MClaude Opus 4.5$33.000/MClaude Sonnet 3.7$6.600/MClaude Opus 3$33.000/MClaude 2.1$12.800/MClaude 2$12.800/MGPT-5.5$12.500/MGPT-5.2$5.425/MGPT-5.2-Codex$5.425/MGPT-5$3.875/MGPT-4.5$97.500/MGPT-4 Turbo Preview$16.000/MGPT-4$39.000/MGPT-4-32k$78.000/Mo3$19.000/Mo3-mini$2.090/Mo4-mini$2.090/Mo1$28.500/Mo1-mini$5.700/Mo1-preview$28.500/MGemini 3.5 Pro$5.000/MGemini 3.1 Pro$5.000/MGemini 3 Pro$5.000/MGemini 2.5 Pro$3.875/MGemini 1.5 Pro$2.375/MGemini 1.0 Ultra$12.000/MGemini 1.0 Pro$0.800/M
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MetaEfficient

Llama 4 Scout

Efficient

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 512K-token context window.

Modalities text, visionOfficial model page ↗API docs ↗Compare with another model →Estimate monthly cost →
INPUT
$0.100/M
per million input tokens
OUTPUT
$0.350/M
per million output tokens
BLENDED 70/30
$0.175/M
default reference rate · how it's calculated →
CONTEXT
512K
512,000 tokens
What it's good at
  • 512K context
  • Open weights
  • MoE efficiency
Typical use cases
  • Long document Q&A
  • Codebase analysis
  • Self-hosted long context
Benchmarks
vs. best public score
MMLU80%
Multitask academic knowledge across 57 subjects.
GPQA Diamond57%
Graduate-level science questions, "Google-proof".
MATH78%
High-school competition math problems.
HumanEval82%
Python function synthesis from docstrings.
LMArena Elo1265 Elo
Crowd-sourced head-to-head preference Elo rating.
Hand-curated from each provider's published reports and public leaderboards. Methodology varies across sources — treat as directional rather than authoritative.
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Llama 3.1 405B
Large · 128K ctx
in $0.800/Mout $0.800/M
Llama 3.1 70B
Balanced · 128K ctx
in $0.350/Mout $0.400/M
Llama 3.1 8B
Compact · 128K ctx
in $0.100/Mout $0.100/M
Llama 3.2 90B Vision
Vision · 128K ctx
in $0.880/Mout $0.880/M
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 512K tokens of context (512,000 tokens).

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.