Meta
Released December 6, 2024Cutoff December 2023

Llama 3.3 70B Instruct

Meta Llama 3.3 70B Instruct is an instruction-tuned model using GQA, pretrained on 15T tokens with 25M+ fine-tuning examples and a 128K context window.

Inputs
Text
Outputs
Text

Model Overview

Capabilities, design details, and architectural traits

Llama 3.3 70B Instruct - Advanced Post-Training on 70B

Llama 3.3 70B Instruct is Meta's instruction-tuned generative text model (text in/text out) positioned as the official successor to the instruction-tuned Llama 3.1 70B. Meta's official documentation states that developers should replace Llama 3.1 70B Instruct with this model wherever it was previously used.

Deployment & Positioning

Meta officially designates Llama 3.3 70B Instruct as superseding the instruction-tuned Llama 3.1 70B. The repository ships two versions: one for use with Hugging Face Transformers (requires version ≥ 4.45.0) and one for the original Llama codebase. A dynamic FP8 quantized variant is also available for latency-sensitive inference workloads.

Benchmark Performance

Independent evaluations · Artificial Analysis

7.7%
Intelligence
11.9%
Coding Index
0.3%
Agentic Index

Accuracy & Capability Details

GPQA - Graduate Science49.8%
Humanity's Last Exam3.6%
SciCode - Scientific Coding26.0%
Instruction Following47.1%
Long Context Reasoning15.7%
τ²-Bench - Agentic Tasks26.6%
TerminalBench - System Control3.0%

Compare Models Side-by-Side

Evaluate specifications, pricing, and independent benchmark indices

Model Details
General Info
ProviderMetaAnthropicAnthropic
Release DateDecember 6, 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
$0.71
Best Input Pricing
$4$2
Output Pricing
$0.72
Best Output Pricing
$20$10
Modalities
Inputs
text
textimagefile
textimagefile
Outputs
text
text
text
Benchmarks (0-100)
Intelligence Index7.7
57.6
Best Intelligence Index
56.0
Coding Index11.9--
Agentic Index0.3--
Llama 3.3 70B Instruct
Claude Opus 5.5
Claude Sonnet 5.5

Humanity's Last Exam

Extremely difficult logical reasoning and knowledge.

4%
Llama 3.3 70B Instruct
Humanity's Last Exam
Score: 4%
Llama 3.3 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.

16%
Llama 3.3 70B Instruct
Long Context Reasoning
Score: 16%
Llama 3.3 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.

26%
Llama 3.3 70B Instruct
SciCode Benchmark
Score: 26%
Llama 3.3 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.

Explore more from Meta

Other models by Meta

Top AI Models

Leading alternatives by intelligence score

View all