Meta
Released July 23, 2024Cutoff December 2023

Llama 3.1 70B Instruct

Llama 3.1 70B Instruct by Meta is a multilingual instruction-tuned model with a 128K context window, trained tool use, and support for agentic workflows.

Inputs
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Outputs
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Model Overview

Capabilities, design details, and architectural traits

Llama 3.1 70B Instruct - Multilingual instruction model

Llama 3.1 70B Instruct is Meta’s instruction-tuned text model in the Llama 3.1 family. Meta positions it as a multilingual model with a long context window and trained tool-use capability.

Defining Characteristics

  • Instruction-tuned text model in the Llama 3.1 family.
  • 128K context window documented in Meta and cloud hosting materials.
  • Trained tool use for agentic workflows, including API calls and custom functions.
  • Multilingual support across eight languages: English, German, French, Italian, Portuguese, Hindi, Spanish, and Thai.

Core Design

  • Meta describes Llama 3.1 as pretrained and instruction-tuned generative models.
  • This model carries the 3.1 family’s full feature set.
  • Official materials describe it as optimized for multilingual dialogue use cases.

Tool Use

  • Meta says the model was explicitly trained for tool use rather than relying on prompt-only techniques.
  • Official release materials position it for calling APIs, querying databases, and invoking custom functions in reasoning chains.

Benchmark Performance

Independent evaluations · Artificial Analysis

6.6%
Intelligence

Accuracy & Capability Details

GPQA - Graduate Science40.9%
Humanity's Last Exam4.5%
SciCode - Scientific Coding26.7%
Instruction Following34.4%
Long Context Reasoning8.0%
τ²-Bench - Agentic Tasks15.2%
TerminalBench - System Control3.0%

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Evaluate specifications, pricing, and independent benchmark indices

Model Details
General Info
ProviderMetaAnthropicAnthropic
Release DateJuly 23, 2024September 22, 2026September 28, 2026
Knowledge CutoffDec 2023-Jun 2026
Context & Limits
Context Window131K
1M
Best Context Window
1M
Best Context Window
Pricing (per 1M tokens)
Input Pricing
$0.56
Best Input Pricing
$4$2
Output Pricing
$0.56
Best Output Pricing
$20$10
Modalities
Inputs
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Outputs
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Benchmarks (0-100)
Intelligence Index6.6
57.6
Best Intelligence Index
56.0
Coding Index---
Agentic Index---
Llama 3.1 70B Instruct
Claude Opus 5.5
Claude Sonnet 5.5

Humanity's Last Exam

Extremely difficult logical reasoning and knowledge.

5%
Llama 3.1 70B Instruct
Humanity's Last Exam
Score: 5%
Llama 3.1 70B Instruct
61%
Claude Opus 5.5
Humanity's Last Exam
Score: 61%
Claude Opus 5.5
55%
Claude Sonnet 5.5
Humanity's Last Exam
Score: 55%
Claude Sonnet 5.5

Long Context Reasoning

Logical reasoning over long context windows.

8%
Llama 3.1 70B Instruct
Long Context Reasoning
Score: 8%
Llama 3.1 70B Instruct
85%
Claude Opus 5.5
Long Context Reasoning
Score: 85%
Claude Opus 5.5
83%
Claude Sonnet 5.5
Long Context Reasoning
Score: 83%
Claude Sonnet 5.5

SciCode Benchmark

Scientific coding and mathematical modeling.

27%
Llama 3.1 70B Instruct
SciCode Benchmark
Score: 27%
Llama 3.1 70B Instruct
67%
Claude Opus 5.5
SciCode Benchmark
Score: 67%
Claude Opus 5.5
61%
Claude Sonnet 5.5
SciCode Benchmark
Score: 61%
Claude Sonnet 5.5

Independent evaluation data provided by Artificial Analysis. To view the latest benchmarks and full details, visit their official site.

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