Llama 3.1 70B Instruct
Llama 3.1 70B Instruct by Meta is a multilingual instruction-tuned model with a 128K context window, trained tool use, and support for agentic workflows.
Model Overview
Capabilities, design details, and architectural traits
Llama 3.1 70B Instruct - Multilingual instruction model
Llama 3.1 70B Instruct is Meta’s instruction-tuned text model in the Llama 3.1 family. Meta positions it as a multilingual model with a long context window and trained tool-use capability.
Defining Characteristics
- Instruction-tuned text model in the Llama 3.1 family.
- 128K context window documented in Meta and cloud hosting materials.
- Trained tool use for agentic workflows, including API calls and custom functions.
- Multilingual support across eight languages: English, German, French, Italian, Portuguese, Hindi, Spanish, and Thai.
Core Design
- Meta describes Llama 3.1 as pretrained and instruction-tuned generative models.
- This model carries the 3.1 family’s full feature set.
- Official materials describe it as optimized for multilingual dialogue use cases.
Tool Use
- Meta says the model was explicitly trained for tool use rather than relying on prompt-only techniques.
- Official release materials position it for calling APIs, querying databases, and invoking custom functions in reasoning chains.
Benchmark Performance
Independent evaluations · Artificial Analysis
Accuracy & Capability Details
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Evaluate specifications, pricing, and independent benchmark indices
| Model Details | |||
|---|---|---|---|
| General Info | |||
| Provider | Meta | Anthropic | Anthropic |
| Release Date | July 23, 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 | $0.56 Best Input Pricing | $4 | $2 |
| Output Pricing | $0.56 Best Output Pricing | $20 | $10 |
| Modalities | |||
| Inputs | text | textimagefile | textimagefile |
| Outputs | text | text | text |
| Benchmarks (0-100) | |||
| Intelligence Index | 6.6 | 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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