OPEN-WEIGHT ARCHITECTURE / VERIFIED 2026-10-04

Llama 4 Scout
vs Llama 4 Maverick

Compare Meta's Llama 4 models on verified context capacity, modalities and published specification differences without inventing direct API pricing.

PROVIDERSMeta · Meta
CONTEXT10,000,000 · 1,000,000
PRICINGnot-published · not-published

LIVE VERIFIED FACTS

Current facts from the SXF model database.

Catalog 2026-10-03 · History 2026-10-03
MetaVerified 2026-10-03

Llama 4 Scout

Context
10,000,000
Max output
Not published
Input / MTok
Not published
Cached / MTok
—
Output / MTok
Not published
Input types
text + image
MetaVerified 2026-10-03

Llama 4 Maverick

Context
1,000,000
Max output
Not published
Input / MTok
Not published
Cached / MTok
—
Output / MTok
Not published
Input types
text + image
Facts are generated from the canonical model catalog, not copied into this comparison.Current data ↗Change ledger ↗

DECISION FACTORS

What materially changes the choice.

No synthetic winner score
01

Context capacity

Llama 4 Scout publishes the larger context window: 10,000,000 vs 1,000,000 tokens (10.0×).

02

Input modalities

Both list image, text as input types.

03

Direct token cost

Direct Standard token-cost comparison is unavailable because Llama 4 Scout, Llama 4 Maverick does not have a calculator-eligible provider-published paid rate in the SXF catalog.

HOW TO DECIDE

Specifications narrow the field. Your workload decides.

Context, modalities and direct token economics are comparable from official sources. Coding quality, latency, reliability and agent success should be measured on your own acceptance tests before production routing.

01

Replay real tasks

Use representative prompts, files, tools and expected outputs from the workload you plan to ship.

02

Measure task cost

Include retries, cached tokens, long-context rules and tool charges—not only headline input price.

03

Track failures

Record hallucinations, tool errors, timeout behavior and human corrections alongside pass rate.

04

Route by task

A portfolio can outperform a one-model policy when different task classes have different cost and capability needs.

INDEPENDENT EVALUATIONS

No directly comparable independent result yet.

Evaluation registry ↗

SXF does not infer quality from specifications or compare benchmark scores across different evaluator versions/configurations.

WHAT CHANGED

Changes affecting this comparison.

No post-baseline factual changes recorded for Llama 4 Scout, Llama 4 Maverick since 2026-10-03.

VERIFIED BASELINE2026-10-03Current facts remain aligned with the SXF ledger.

QUICK ANSWERS

Which has the larger context window: Llama 4 Scout or Llama 4 Maverick?

Llama 4 Scout publishes the larger context window: 10,000,000 vs 1,000,000 tokens (10.0×).

Which is cheaper: Llama 4 Scout or Llama 4 Maverick?

Direct Standard token-cost comparison is unavailable because Llama 4 Scout, Llama 4 Maverick does not have a calculator-eligible provider-published paid rate in the SXF catalog.

Does SXF declare an overall winner?

No. This page compares source-backed specifications and economics. Quality, latency and task success require workload-specific evaluation evidence.