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Meta AI•Language & MultimodalOpen WeightsFrontier Milestone

Llama 3.3 70B Instruct

State-of-the-art 70B open model matching previous 405B capabilities on industry benchmarks.

Official Paper / AnnouncementHugging Face WeightsCompare with Another Model

Technical Specification Matrix

Parameters70.6 Billion Dense
Context Window128,000 tokens
Access ModelOpen Weights
LicenseLlama 3.3 Community License
Release DateDecember 2024
Author LabMeta AI

Architecture & Engineering Overview

Underlying Neural Architecture

Dense Auto-regressive Transformer with Grouped-Query Attention (GQA)

Editorial Analysis

Meta's Llama 3.3 70B incorporates post-training advancements, knowledge distillation, and online DPO to deliver industry-leading performance in a dense 70B footprint capable of running on a single modern GPU server node.

Empirical Academic Benchmarks

Llama 3.3 70B Instruct Benchmark Performance

Meta AI Llama 3.3 Evaluation Card (Dec 2024). Matches Llama 3.1 405B on core benchmarks.

Llama 3.3 70B Instruct
MATH 500Math & Logic

Challenging competition-level high school and undergraduate mathematics problems evaluating step-by-step analytical proof capability.

Llama 3.3 70B Instruct73.8%
GPQA DiamondPhD Science

Google-proof PhD-level multiple-choice questions in biology, physics, and chemistry designed by domain experts.

Llama 3.3 70B Instruct50.5%
MMLU-ProGeneral Reasoning

Expanded reasoning benchmark with 12,000+ challenging multi-step questions across 14 academic and professional subjects.

Llama 3.3 70B Instruct68.3%
SWE-bench VerifiedReal-world Coding

Human-verified subset of real-world GitHub issues evaluating autonomous agent capability to debug and resolve real open-source bugs.

Llama 3.3 70B Instruct32.5%
HumanEvalCode Generation

Standard benchmark testing zero-shot Python function generation against functional unit test suites.

Llama 3.3 70B Instruct81.7%
Evaluations strictly reflect primary evaluation protocols (0-shot CoT or 5-shot) documented by each system's authoring laboratory.

Verified Core Competencies

Open Weights for Enterprise
Matches Llama 3.1 405B on Core Benchmarks
Tool Calling & Agents
Quantization Friendly

Head-to-Head Comparisons

Comparison Duel

Llama 3.3 70B vs Qwen 2.5 72B

A showdown between the two most capable 70-billion-parameter open foundation models in the world. Meta AI's Llama 3.3 70B matches the previous 405B flagship, while Alibaba Cloud's Qwen 2.5 72B leads in multilingual capability and math under an Apache 2.0 license.

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