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.
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 open-weight generative text model, instruction-tuned specifically for dialogue and assistant-like chat tasks. It is part of the Llama 3 family.
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.
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
Accuracy & Capability Details
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| Model Details | |||
|---|---|---|---|
| General Info | |||
| Provider | Meta | Anthropic | Anthropic |
| Release Date | April 18, 2024 | September 22, 2026 | September 28, 2026 |
| Knowledge Cutoff | Dec 2023 | - | Jun 2026 |
| Context & Limits | |||
| Context Window | 8K | 1M Best Context Window | 1M Best Context Window |
| Pricing (per 1M tokens) | |||
| Input Pricing | $0.65 Best Input Pricing | $4 | $2 |
| Output Pricing | $2.75 Best Output Pricing | $20 | $10 |
| Modalities | |||
| Inputs | text | textimagefile | textimagefile |
| Outputs | text | text | text |
| Benchmarks (0-100) | |||
| Intelligence Index | 5.5 | 57.6 Best Intelligence Index | 56.0 |
| Coding Index | - | - | - |
| Agentic Index | - | - | - |
Humanity's Last Exam
Extremely difficult logical reasoning and knowledge.
Long Context Reasoning
Logical reasoning over long context windows.
SciCode Benchmark
Scientific coding and mathematical modeling.
Independent evaluation data provided by Artificial Analysis. To view the latest benchmarks and full details, visit their official site.
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