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  4. Llama 3 70B Instruct
Meta
Released April 18, 2024Cutoff December 2023

Llama 3 70B Instruct

Meta's Llama 3 70B Instruct is a 70B-parameter, instruction-tuned open model using GQA, SFT+RLHF alignment, and an 8K context window for dialogue use cases.

Visit MetaAnnouncement
Inputs
Text
Outputs
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Model Overview

Capabilities, design details, and architectural traits

Llama 3 70B Instruct - Open-Weight Instruction-Tuned Dialogue Model

Llama 3 70B Instruct is Meta's 70-billion parameter open-weight generative text model, instruction-tuned specifically for dialogue and assistant-like chat tasks. It is part of the Llama 3 family released in 8B and 70B sizes.

Training Methodology

The instruction-tuned variant is aligned using supervised fine-tuning (SFT) followed by reinforcement learning with human feedback (RLHF). Fine-tuning data includes publicly available instruction datasets plus over 10 million human-annotated examples. Pretraining used over 15 trillion tokens from publicly available sources, with a data freshness cutoff of December 2023 for the 70B model.

Training was conducted on Meta's Research SuperCluster and production clusters using custom training libraries.

Intended Use

Instruction-tuned models are explicitly scoped to assistant-like chat use cases. Pretrained base variants support broader natural language generation tasks. Out-of-scope use includes languages other than English (fine-tuning for other languages is permitted under the Llama 3 Community License).

Benchmark Performance

Independent evaluations · Artificial Analysis

3.1%
Intelligence

Accuracy & Capability Details

GPQA - Graduate Science37.9%
Humanity's Last Exam4.5%
SciCode - Scientific Coding18.9%
Instruction Following37.1%
Long Context Reasoning0.0%
τ²-Bench - Agentic Tasks0.0%
TerminalBench - System Control0.8%
Specs
Context window
8Ktokens
Input pricing
$0.65per 1M tokens
Output pricing
$2.75per 1M tokens

Prices in USD.

Compare Models Side-by-Side

Evaluate specifications, pricing, and independent benchmark indices

Model Details
General Info
ProviderMetaAnthropicAnthropic
Release DateApril 18, 2024July 24, 2026June 9, 2026
Knowledge CutoffDec 2023May 2026-
Context & Limits
Context Window8K
1M
Best Context Window
1M
Best Context Window
Pricing (per 1M tokens)
Input Pricing
$0.65
Best Input Pricing
$5$10
Output Pricing
$2.75
Best Output Pricing
$25$50
Modalities
Inputs
text
textimage
textimagefile
Outputs
text
text
text
Benchmarks (0-100)
Intelligence Index3.1
63.1
Best Intelligence Index
62.1
Coding Index-
78.0
Best Coding Index
76.5
Agentic Index-
59.2
Best Agentic Index
56.6
Llama 3 70B Instruct
Claude Opus 5
Claude Fable 5

GPQA Benchmark

Graduate-level reasoning and expert Q&A evaluation.

38%
Llama 3 70B Instruct
GPQA Benchmark
Score: 38%
Llama 3 70B Instruct
93%
Claude Opus 5
GPQA Benchmark
Score: 93%
Claude Opus 5
93%
Claude Fable 5
GPQA Benchmark
Score: 93%
Claude Fable 5

Humanity's Last Exam

Extremely difficult logical reasoning and knowledge.

5%
Llama 3 70B Instruct
Humanity's Last Exam
Score: 5%
Llama 3 70B Instruct
55%
Claude Opus 5
Humanity's Last Exam
Score: 55%
Claude Opus 5
56%
Claude Fable 5
Humanity's Last Exam
Score: 56%
Claude Fable 5

Long Context Reasoning

Logical reasoning over long context windows.

0%
Llama 3 70B Instruct
Long Context Reasoning
Score: 0%
Llama 3 70B Instruct
76%
Claude Opus 5
Long Context Reasoning
Score: 76%
Claude Opus 5
77%
Claude Fable 5
Long Context Reasoning
Score: 77%
Claude Fable 5

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

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