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  1. Models
  2. Text
  3. Meta

Llama 4 Scout

Llama 4 Scout, a 17 billion active parameter model with 16 experts, is the best multimodal model in the world in its class and is more powerful than all previous generation Llama models, while fitting in a single H100 GPU. Additionally, Llama 4 Scout offers an industry-leading context window of 10M and delivers better results than Gemma 3, Gemini 2.0 Flash-Lite, and Mistral 3.1 across a broad range of widely reported benchmarks.

  • Vision
  • Tool Calling
  • Structured Output

Added Sep 5, 2025

Model weights

Pricing

Auto routing · per 1M tokens
Input
$0.085
Output
$0.46
Cache read
$0.0425
Compare provider prices

Specifications

Context window
328K
Max output
65.5K
Parameters
109B / 17B
Total / active

Benchmarks

Sourced from LMArena.

Arena Score

1321.6

Overall Rank

#264 / 421

Votes

29,775

Confidence Interval

1316.9 - 1326.3

Category Scores

Coding

#259 / 416

5,221 votes

1362.5

Math

#243 / 404

1,937 votes

1309.6

Longer Query

#265 / 399

5,794 votes

1325.4

Creative Writing

#257 / 419

3,754 votes

1288.9

Instruction Following

#271 / 421

7,468 votes

1299.3

Hard Prompts

#261 / 421

12,880 votes

1329.3

Additional Categories
22

Japanese

#198 / 288

764 votes

1258.9

Polish

#204 / 243

2,467 votes

1322.1

Korean

#208 / 289

651 votes

1268.6

German

#214 / 320

800 votes

1311.1

Spanish

#228 / 304

709 votes

1316.0

French

#234 / 301

427 votes

1324.7

Industry Legal And Government

#244 / 393

1,970 votes

1341.0

Industry Mathematical

#250 / 402

1,797 votes

1314.9

Hard Prompts English

#251 / 419

5,728 votes

1352.2

Industry Medicine And Healthcare

#251 / 391

1,813 votes

1341.5

Industry Entertainment And Sports And Media

#252 / 419

5,269 votes

1288.3

Industry Writing And Literature And Language

#257 / 420

6,696 votes

1304.4

Multi Turn

#257 / 419

5,222 votes

1319.2

Russian

#257 / 385

2,266 votes

1307.8

Industry Business And Management And Financial Operations

#259 / 414

4,915 votes

1315.6

Exclude Ties

#260 / 421

21,376 votes

1268.0

English

#261 / 421

13,014 votes

1342.7

Expert

#261 / 371

1,532 votes

1308.1

Industry Life And Physical And Social Science

#264 / 419

4,964 votes

1334.4

Industry Software And It Services

#266 / 421

9,487 votes

1349.1

Non English

#268 / 421

16,750 votes

1297.6

Chinese

#270 / 395

2,077 votes

1315.1

Published 2026-11-11 · Matched as Llama 4 Scout 17B 16E Instruct · CC BY 4.0

LMArena Dataset

Leaderboard results

BenchmarkScoreRank on NanoGPT
Epoch AI Benchmarking Hub

Epoch AI data, CC BY 4.0 · Updated Nov 13, 2026

Epoch Capabilities Index

127.7

#108 of 115

GPQA Diamond

51.8%

#105 of 119

OTIS Mock AIME 2024–2025

7.8%

#113 of 121

EQ-Bench

EQ-Bench data, MIT · Updated Nov 13, 2026

Creative Writing v3

781

#90 of 96

Longform Writing

31.1

#92 of 97

EQ-Bench 3

670

#49 of 49

UGI Leaderboard

UGI Leaderboard data, Apache-2.0 · Updated Oct 16, 2026

UGI Score

31.0

#105 of 149

UGI Willingness

5.2

#42 of 149

UGI Writing

26.7

#134 of 149

Filtered and ranked to models on NanoGPT.

Providers

Auto routing is available for this model. Explicit provider selection is not available.

Auto
Auto
Recommended
$0.085$0.46$0.0425N/AN/A
Batch API
ProviderInputOutputCached input
Auto
Autometa-llama/llama-4-scout
$0.085/M$0.46/M$0.0425/M

Batch rows for this model use normal routing and cost the same as standard API requests. Set provider in a row to choose a provider.

Reliability

Related text models

Compare Llama 4 Scout with similar models from the same provider or model family.

Llama 4 Maverick

meta-llama/llama-4-maverick

Llama 4 Maverick, a 17 billion active parameter model with 128 experts, is the best multimodal model in its class, beating GPT-4o and Gemini 2.0 Flash across a broad range of widely reported benchmarks, while achieving comparable results to the new DeepSeek v3 on reasoning and coding—at less than half the active parameters. Llama 4 Maverick offers a best-in-class performance to cost ratio with an experimental chat version scoring ELO of 1417 on LMArena.

Llama 3.3 70b Instruct

meta-llama/llama-3.3-70b-instruct

Llama 3.3 is optimized for multilingual dialogue use cases and outperforms many of the available open source and closed chat models on common industry benchmarks.

Llama 3.1 8b Instruct

meta-llama/llama-3.1-8b-instruct

Fast and efficient for simple purposes.

Llama 3.2 3b Instruct

meta-llama/llama-3.2-3b-instruct

Small model optimized for advanced natural language processing tasks like dialogue generation, reasoning, and summarization

Llama 3 70B abliterated

failspy/Meta-Llama-3-70B-Instruct-abliterated-v3.5

An abliterated (removed restrictions and censorship) version of Llama 3.1 70b.

Llama 3.1 8B (decentralized)

Meta-Llama-3-1-8B-Instruct-FP8

Meta's Llama 3.1 8B model on an open permissionless network