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.
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
Accuracy & Capability Details
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| Model Details | |||
|---|---|---|---|
| General Info | |||
| Provider | Meta | Anthropic | Anthropic |
| Release Date | December 6, 2024 | September 22, 2026 | September 28, 2026 |
| Knowledge Cutoff | Dec 2023 | - | Jun 2026 |
| Context & Limits | |||
| Context Window | 131K | 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 Index | 7.7 | 57.6 Best Intelligence Index | 56.0 |
| Coding Index | 11.9 | - | - |
| Agentic Index | 0.3 | - | - |
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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