Llama 3 8B Instruct
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes.
text → text · made by Meta
Sold by 5 ways
| Seller | Lane | Rate |
|---|---|---|
| DigitalOcean cloud | standard | $0.2per Mtok in$0.2per Mtok outraw.githubusercontent.com · read 2026-09-16 |
| AWS Bedrock cloud | standard | $0.3per Mtok in$0.6per Mtok outraw.githubusercontent.com · read 2026-09-16 |
| DeepInfra aggregator | standard | $0.03per Mtok in$0.04per Mtok outapi.deepinfra.com · read 2026-08-25 |
| Novita AI aggregator | standard | $0.04per Mtok in$0.04per Mtok outapi.novita.ai · read 2026-08-25 |
| Together AI aggregator | standard | $0.2per Mtok in$0.2per Mtok outraw.githubusercontent.com · read 2026-09-16 |
Measured 13 standings
| Place | Board | Metric | Score |
|---|---|---|---|
| 3rdof 15 | Adversarial nli — Epoch AI | Score | 57.3 |
| 9thof 70 | Open book qa — Epoch AI | Accuracy | 82.6 |
| 17thof 134 | Arc ai2 — Epoch AI | Challenge score | 0.828 |
| 51stof 81 | Forecastbench — Epoch AI | Overall score | 58.6 |
| 78thof 115 | Trivia qa — Epoch AI | EM | 0.677 |
| 80thof 217 | Mmlu — Epoch AI | EM | 0.688 |
| 104thof 108 | Math level 5 — Epoch AI | mean_score | 6.127 |
| 114thof 137 | Wino grande — Epoch AI | Accuracy | 65 |
| 158thof 161 | Dtbench — Epoch AI | Accuracy | 43.93 |
| 207thof 222 | Chess puzzles — Epoch AI | mean_score | 0 |
| 274thof 290 | OTIS Mock AIME 2024-2025 | mean_score | 1.944 |
| 302ndof 313 | GPQA Diamond | mean_score | 26.073 |
| 600thof 656 | Epoch capabilities index — Epoch AI | ECI Score | 116.33 |
About
Llama 3 8B Instruct — a text model from Meta, sold by 5 companies from $0.03 in and $0.04 out per million tokens, placed 9th of 70 on Open book qa — Epoch AI.
It takes text and returns text, with a context window of 8,192 tokens. It was published in April 2024, trained on material up to December 2023. The catalogue files it under reasoning and agents. Five companies sell it. The cheapest is $0.03 in and $0.04 out per million tokens at DeepInfra. It has been measured on 13 boards, and stands best at 9th of 70 on Open book qa — Epoch AI.
Every current figure
- Maker
- Meta
- Register
- model
- Takes
- text
- Returns
- text
- Context
- 8,192 tokens
- Published
- April 2024
- Knowledge to
- December 2023
- Parameters
- 8 billion · read from its own name
- Sellers
- 5
- Maker's own price
- not read
- Price
- $0.03 in and $0.04 out per million tokens — DeepInfra
- Boards
- 13
- Best place
- 9th of 70 — Open book qa — Epoch AI
Known as 3 names
Meta-Llama-3-8B-Instructmeta-llama/Meta-Llama-3-8B-Instructmeta-llama/llama-3-8b-instruct