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Llama 3.1 8b Instruct

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

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

Fast and efficient for simple purposes.

Context Window

131.1K

Max Output

16.4K

Avg output tokens (7d)

221 tokens

1%

Input Price (Auto)

$0.054/1M

Output Price (Auto)

$0.085/1M

Cache Read (Auto)

$0.027/1M

Benchmarks

Performance metrics and benchmarks

Sourced from Artificial Analysis.

Intelligence Index

7.4

Better than 22% of models compared

Coding Index

5.4

Better than 5% of models compared

Reasoning

GPQA Diamond

Graduate-level scientific reasoning

25.9%

Better than 3% of models compared

HLE

Humanity's Last Exam

5.3%

Better than 36% of models compared

IFBench

Instruction-following benchmark

28.6%

Better than 12% of models compared

T²-Bench Telecom

Conversational AI agents in dual-control scenarios

16.4%

Better than 15% of models compared

AA-LCR

Long context reasoning evaluation

18.0%

Better than 26% of models compared

GDPval-AA

Economically valuable tasks

0.0%

CritPt

Research-level physics reasoning

0.0%

Coding

SciCode

Python programming for scientific computing

13.2%

Better than 13% of models compared

Terminal-Bench Hard

Agentic coding and terminal use

0.8%

Better than 13% of models compared

LiveCodeBench

Contamination-free coding benchmark

11.6%

Better than 11% of models compared

Math

AIME 2025

American Invitational Mathematics Examination 2025

4.3%

Better than 7% of models compared

AIME

American Invitational Mathematics Examination

7.7%

Better than 25% of models compared

Math-500

Diverse mathematical problem solving benchmark

51.9%

Better than 15% of models compared

Knowledge

MMLU-Pro

Professional and academic subject knowledge

47.6%

Better than 13% of models compared

AA-Omniscience Accuracy

Proportion of correctly answered questions

8.5%

AA-Omniscience Hallucination Rate

Rate of incorrect answers among non-correct responses

43.0%

Last updated Aug 16, 2026

Artificial Analysis

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