Llama 3.1 8B Instruct Model Specs, Costs & Benchmarks (July 2026)
Llama 3.1 8B Instruct, developed by Meta, features a context window of 131.1K tokens. The model costs $0.05 per million tokens for input and $0.08 per million tokens for output. It was released on July 23, 2024, and has achieved impressive scores in various benchmarks.
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Overview
 Llama 3.1 8B Instruct | |
|---|---|
Model Provider The organization behind this AI's development | Meta |
Input Context Window Maximum input tokens this model can process at once | 131.1K tokens |
Output Token Limit Maximum output tokens this model can generate at once | 131.1K tokens |
Release Date When this model first became publicly available | July 23, 2024 2 years ago July 23rd, 2024 |
Knowledge Cutoff Latest training-data date reported by the provider | December 31, 2023 |
Pricing
| Llama 3.1 8B Instruct | |
|---|---|
Input Token Cost Cost per million input tokens | $0.05 per million tokens |
Output Token Cost Cost per million output tokens | $0.08 per million tokens |
Cache Read Cost Cost to reuse cached input tokens | $0.02 per million tokens |
Capabilities & Features
| Llama 3.1 8B Instruct | |
|---|---|
Input Types Supported input formats | text |
Output Types Supported output formats | text |
Tokenizer Text encoding system | Llama3 |
Key Features Advanced capabilities | ✓ Function Calling✓ Structured Output |
Open Source Model availability |
Benchmarks
| Llama 3.1 8B Instruct | |
|---|---|
Intelligence Index Overall model quality across independent evaluations | 7.6 (Artificial Analysis index; higher is better) |
Coding Index Programming performance across independent evaluations | 5.4 (Artificial Analysis index; higher is better) |
Agentic Index Ability to complete multi-step agentic tasks | 0.5 (Artificial Analysis index; higher is better) |
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