WritingmateWritingmate

AI model reference · 2026

Llama 4 Scout

Meta: Llama 4 Scout logoMetaModel details, evidence, and API facts

Llama 4 Scout 17B Instruct (16E) is a mixture-of-experts (MoE) language model developed by Meta, activating 17 billion parameters out of a total of 109B.

Text generation
Image input
Provider endpoint accepts tool parameters
Context window
1,310,720 tokens
Maximum output
8,192 tokens
Base provider API input
$0.11 / 1M tokens
Base provider API rate
Published evidence
2 benchmarks, 0 Arena results

Overview

About Llama 4 Scout

A concise catalog overview. Technical limits and published evaluation evidence are listed separately below.

Llama 4 Scout 17B Instruct (16E) is a mixture-of-experts (MoE) language model developed by Meta, activating 17 billion parameters out of a total of 109B.

text
multimodal

Published evaluations

Benchmark results

Only results mapped to this exact model and backed by a named source appear here. Different evaluation protocols are not treated as interchangeable.

Source-backed benchmark results for Llama 4 Scout
BenchmarkScoreEvaluation detailsSource
SWE-Bench VerifiedA human-validated subset of real GitHub issues used to measure whether a coding agent can produce repository patches that resolve the associated tests.9.1%ResolvedVersion: SWE-Bench Verified 500 · Split: Verified, 500 tasks · Harness: mini-SWE-agent / version 0.0.0 · Attempts: One attemptProtocol note: Harness version: 0.0.0; Run date: 2025-07-20Methodology SWE-benchBenchmark owner
Artificial Analysis Intelligence IndexComprehensive comparison of AI models across intelligence, price, speed, and latency28Intelligence IndexThe published protocol is not fully disclosed.Methodology artificialanalysis.aiLegacy leaderboard

Human preference

Arena results

Arena scores come from blind human preference votes. They are reported separately from task benchmarks and are not used as substitutes for missing benchmark results.

No exact Arena match is available for this model. Similar names and provider variants are not merged automatically.

Technical reference

Specifications and API facts

Technical limits and reference provider prices come from the current catalog unless a reviewed external source is listed. Missing values stay marked as unavailable.

Model
Provider
Meta
Release date
Not available in reviewed sources
Catalog added
Apr 5, 2025
Context window
1,310,720 tokens
Maximum output
8,192 tokens
Knowledge cutoff
2024-08-31
License
Not available in reviewed sources
Capabilities and API
Input types
Text, Image
Output types
Text
Reasoning
Not supported
Provider endpoint tool parameters
Accepts tool parameters
Base provider API input
$0.11 / 1M tokens
Base provider cached input
$0.055 / 1M tokens
Base provider API output
$0.34 / 1M tokens

These are reference provider API rates, not Writingmate checkout charges. Access in Writingmate follows the allowances of your Writingmate plan.

Provenance

Sources and update status

Source links are attached to the facts and evaluations they support. Catalog-only values are not presented as independently verified claims.

Evidence last updated Aug 9, 2026.

Catalog record updated Apr 5, 2025.

Catalog-added dates describe when a model entered the catalog, not necessarily its public release date.

Try Llama 4 Scout in Writingmate

Use this model, then compare its response with other AI models in the same workspace.