Llama 3.1 8B Instruct
Llama 3.1 8B Instruct by Meta is an instruction-tuned multilingual text model with a 128K context window, optimized for dialogue and tool use.
Model Overview
Capabilities, design details, and architectural traits
Llama 3.1 8B Instruct - Instruction-tuned multilingual text model
Llama 3.1 8B Instruct is Meta’s instruction-tuned text-only model for multilingual dialogue use cases. It is part of the Llama 3.1 family and is documented with a 128K context window and text-generation focus.
Defining Characteristics
- Instruction-tuned text model for multilingual dialogue use cases.
- 128K context window in Meta’s documentation and major official hosting docs.
- Open model release within the Llama 3.1 family, with official model cards and prompt-format guidance.
Tool Use
- Meta’s developer docs note that Llama 8B-Instruct can be used for zero-shot tool calling, though it cannot reliably maintain a conversation alongside tool-calling definitions.
Deployment
- Official cloud/provider docs expose the model through standard chat-completions style APIs.
- Some provider docs list text input and text output only, reflecting its text-only deployment.
Benchmark Performance
Independent evaluations · Artificial Analysis
Accuracy & Capability Details
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| 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 | $0.04 Best Input Pricing | $4 | $2 |
| Output Pricing | $0.07 Best Output Pricing | $20 | $10 |
| Modalities | |||
| Inputs | text | textimagefile | textimagefile |
| Outputs | text | text | text |
| Benchmarks (0-100) | |||
| Intelligence Index | 6.9 | 57.6 Best Intelligence Index | 56.0 |
| Coding Index | 5.4 | - | - |
| Agentic Index | 0.5 | - | - |
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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