// model_detail
legacy open-weight
Llama 3.1 8B
by Meta
8B dense model. Smallest in the Llama 3.1 family. Good for local inference.
Context window 128K 128K tokens
Max output 8K 8K tokens
Pricing /1M tok $0.02 in / $0.05 out per 1M tokens (OpenRouter)
Released Jul 23, 2024
// specifications
Specs & capabilities
API details
- API model ID
meta-llama/llama-3.1-8b-instruct- Internal ID
llama-3-1-8b- Status
- legacy
- Type
- open-weight
Capabilities
- Vision
- No
- Function calling
- 🔧 Yes
- Knowledge cutoff
- 📅 2024-07
Pricing
- Input
- $0.02 / 1M tokens
- Output
- $0.05 / 1M tokens
- Source
- OpenRouter pricing
Lifecycle
- Predecessor
- Llama 3 8B
// data_confidence
Data notes
⚠️ Pricing shown via OpenRouter, not first-party
// notes
Additional notes
Smallest useful Llama 3.x
// more_from_meta
More Meta models
Llama 4 Scout active open-weight
Smaller MoE Llama 4 model. 109B active params, massive 10M context window.
Llama 4 Maverick active open-weight
Meta's MoE model with 400B active parameters. 1M context, vision support. Strong performance at low cost.
Llama 3.3 70B active open-weight
Strong 70B dense model. 128K context. Best Llama 3.x text-only model.
Llama 3.2 11B Vision active open-weight
11B multimodal model. 128K context. Good efficiency for vision tasks.
Llama 3.2 90B Vision active open-weight
90B multimodal model. 128K context. Best Llama 3.x vision model.
Llama 3.1 405B legacy open-weight
405B dense model. Was the largest open-weight model at release. Superseded by Llama 4.
// external_links