Meta
Llama 3.1 8B
Open Llama instruction model for multilingual chat, reasoning, and coding
Model facts
- Context window
- 131K tokens
- Maximum output
- 4K tokens
- Cheapest paid input
- $0.025 per 1M tokens
- Cheapest paid output
- $0.025 per 1M tokens
- Open weights
- yes
- Providers
- 18
Capabilities and modalities
reasoning, tool calling, structured output, temperature control, open weights, text.
Local hardware estimate
At 4K context: Q4_K_M 5.9 GiB, Q8_0 9.6 GiB, F16 16.6 GiB working memory.
- Parameters
- 8.0 billion
- Architecture
- llama
- Model license
- llama3.1
Planning estimate adapted from the MIT-licensed whichllm estimator using metadata from Hugging Face; not a vendor minimum requirement.
Artificial Analysis benchmarks
Compare this model on the full LLM benchmark leaderboard.
| Configuration | AAI | Coding | Math | Output tokens/s |
|---|---|---|---|---|
| default | 7.4 | 5.4 | 4.3 | not measured |
Observed price history
- 2026-08-24: $0.025 input / $0.025 output per 1M tokens
API providers
- Nvidia — model id meta/llama-3.1-8b-instruct; free input / free output per 1M tokens; provider documentation
- Inference — model id meta/llama-3.1-8b-instruct; $0.025 input / $0.025 output per 1M tokens; provider documentation
- Kilo Gateway — model id meta-llama/llama-3.1-8b-instruct; $0.02 input / $0.04 output per 1M tokens; provider documentation
- Helicone — model id llama-3.1-8b-instruct; $0.02 input / $0.05 output per 1M tokens; provider documentation
- Abacus — model id meta-llama/Meta-Llama-3.1-8B-Instruct; $0.02 input / $0.05 output per 1M tokens; provider documentation
- NovitaAI — model id meta-llama/llama-3.1-8b-instruct; $0.02 input / $0.05 output per 1M tokens; provider documentation
- Hugging Face — model id meta-llama/Llama-3.1-8B-Instruct; $0.06 input / $0.06 output per 1M tokens; provider documentation
- Groq — model id llama-3.1-8b-instant; $0.05 input / $0.08 output per 1M tokens; provider documentation
- OpenRouter — model id meta-llama/llama-3.1-8b-instruct; $0.05 input / $0.08 output per 1M tokens; provider documentation
- NanoGPT — model id meta-llama/llama-3.1-8b-instruct; $0.054 input / $0.085 output per 1M tokens; provider documentation
- Cortecs — model id llama-3.1-8b-instruct; $0.167 input / $0.167 output per 1M tokens; provider documentation
- DigitalOcean — model id llama3-8b-instruct; $0.198 input / $0.198 output per 1M tokens; provider documentation
- Pioneer — model id meta-llama/Llama-3.1-8B-Instruct; $0.2 input / $0.2 output per 1M tokens; provider documentation
- Amazon Bedrock — model id meta.llama3-1-8b-instruct-v1:0; $0.22 input / $0.22 output per 1M tokens; provider documentation
- Merge Gateway — model id meta/llama-3.1-8b-instruct; $0.22 input / $0.22 output per 1M tokens; provider documentation
- Vercel AI Gateway — model id meta/llama-3.1-8b; $0.22 input / $0.22 output per 1M tokens; provider documentation
- Weights & Biases — model id meta-llama/Llama-3.1-8B-Instruct; $0.22 input / $0.22 output per 1M tokens; provider documentation
- Neon — model id meta-llama-3-1-8b-instruct; $0.15 input / $0.45 output per 1M tokens; provider documentation