Meta's Llama 3 8B Instruct is an 8B-parameter open model with GQA, 8K context, trained on 15T tokens with SFT+RLHF alignment for English dialogue use cases.
Capabilities, design details, and architectural traits
Llama 3 8B Instruct is Meta's 8-billion parameter open-weight generative text model, instruction-tuned for English dialogue and assistant-like chat. It is the smaller variant in the original Llama 3 family.
Officially scoped to commercial and research use in English. Instruction-tuned models are explicitly intended for assistant-like chat; pretrained variants support broader natural language generation. Developer fine-tuning for languages beyond English is permitted under the Llama 3 Community License.
Meta conducted extensive red teaming, adversarial evaluation, and safety fine-tuning. A documented objective was significantly reducing false refusals relative to Llama 2, calibrating the model to avoid over-refusing benign prompts.
Independent evaluations · Artificial Analysis
Evaluate specifications, pricing, and independent benchmark indices
| Model Details | |||
|---|---|---|---|
| General Info | |||
| Provider | Meta | Anthropic | Anthropic |
| Release Date | April 18, 2024 | July 24, 2026 | June 9, 2026 |
| Knowledge Cutoff | Dec 2023 | May 2026 | - |
| Context & Limits | |||
| Context Window | 8K | 1M Best Context Window | 1M Best Context Window |
| Pricing (per 1M tokens) | |||
| Input Pricing | $0.04 Best Input Pricing | $5 | $10 |
| Output Pricing | $0.14 Best Output Pricing | $25 | $50 |
| Modalities | |||
| Inputs | text | textimage | textimagefile |
| Outputs | text | text | text |
| Benchmarks (0-100) | |||
| Intelligence Index | 1.0 | 63.1 Best Intelligence Index | 62.1 |
| Coding Index | - | 78.0 Best Coding Index | 76.5 |
| Agentic Index | - | 59.2 Best Agentic Index | 56.6 |
Graduate-level reasoning and expert Q&A evaluation.
Extremely difficult logical reasoning and knowledge.
Logical reasoning over long context windows.
Independent evaluation data provided by Artificial Analysis. To view the latest benchmarks and full details, visit their official site.
