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  1. Models
  2. Text
  3. Meta

Llama 3.1 8b Instruct

Fast and efficient for simple purposes.

Model weights

Pricing

Auto routing · per 1M tokens
Input
$0.02
Output
$0.04
Cache read
$0.01
Compare provider prices

Specifications

Context window
131.1K
Max output
16.4K
Parameters
8B

Benchmarks

Sourced from LMArena.

Arena Score

1211.3

Overall Rank

#348 / 421

Votes

49,605

Confidence Interval

1207.1 - 1215.4

Category Scores

Coding

#342 / 416

8,582 votes

1259.5

Math

#344 / 404

7,135 votes

1188.3

Longer Query

#339 / 399

6,736 votes

1223.9

Creative Writing

#347 / 419

7,346 votes

1177.0

Instruction Following

#349 / 421

19,781 votes

1190.8

Hard Prompts

#348 / 421

13,535 votes

1222.3

Additional Categories
21

Japanese

#266 / 288

1,234 votes

1086.9

Korean

#277 / 289

802 votes

1086.4

French

#279 / 301

478 votes

1206.3

Spanish

#284 / 303

565 votes

1188.6

German

#288 / 320

1,295 votes

1167.8

Industry Medicine And Healthcare

#332 / 390

2,564 votes

1230.9

Industry Legal And Government

#334 / 393

2,882 votes

1246.5

Multi Turn

#338 / 419

8,930 votes

1198.3

Expert

#339 / 371

2,589 votes

1197.6

Russian

#340 / 385

6,589 votes

1189.8

Industry Business And Management And Financial Operations

#342 / 414

5,722 votes

1209.6

Industry Software And It Services

#342 / 421

13,139 votes

1244.4

Chinese

#343 / 395

4,400 votes

1204.2

Industry Mathematical

#344 / 401

5,985 votes

1192.5

Hard Prompts English

#345 / 419

8,195 votes

1238.8

Industry Entertainment And Sports And Media

#346 / 419

7,706 votes

1173.9

Industry Life And Physical And Social Science

#346 / 419

8,403 votes

1228.8

Non English

#346 / 421

22,995 votes

1177.9

Exclude Ties

#348 / 421

31,686 votes

1089.2

English

#349 / 421

26,610 votes

1237.2

Industry Writing And Literature And Language

#349 / 420

13,505 votes

1182.2

Published 2026-11-09 · Matched as Llama 3.1 8B 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 12, 2026

GPQA Diamond

27.0%

#118 of 119

OTIS Mock AIME 2024–2025

1.7%

#121 of 121

EQ-Bench

EQ-Bench data, MIT · Updated Nov 12, 2026

Creative Writing v3

711

#92 of 96

UGI Leaderboard

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

UGI Score

6.5

#148 of 149

UGI Willingness

1.0

#147 of 149

UGI Writing

24.8

#138 of 149

Filtered and ranked to models on NanoGPT.

Providers

Choose or restrict providers with the API. Provider-selection prices include the selection markup. Provider selection guide · Pricing API (JSON, USD per 1K tokens)

Auto
Auto (ZDR)
$0.02$0.04$0.01N/AN/A
Auto
Auto (Anonymized)
$0.02$0.04$0.01N/AN/A
DeepInfra
DeepInfra
FP8
US
$0.021$0.042N/AN/AN/A
Kitani
Kitani
INT4
GLB
$0.0514$0.0803$0.0257N/AN/A
Groq
Groq
US
$0.0525$0.084$0.0262N/AN/A
Cloudflare
Cloudflare
FP8
US
$0.16$0.301N/AN/AN/A
CoreWeave
CoreWeave
BF16
US
$0.231$0.231$0.231N/AN/A
Privacy:ZDR, prompts not retainedNo training on prompts
Batch API
ProviderInputOutputCached input
Auto
Autometa-llama/llama-3.1-8b-instruct
$0.02/M$0.04/M$0.01/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.

Related text models

Compare Llama 3.1 8b Instruct with similar models from the same provider or model family.

Llama 3.3 70b Instruct

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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 3.2 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 4 Maverick

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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 4 Scout

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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.

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