# Llama models on W&B Inference

## Meta Llama 4 Scout inference overview

#### Price per 1M tokens

$0.17 (input)

$0.66 (output)

#### Parameters

70B

109B

#### Context window

64K

#### Release date

Apr 2024

### Meta Llama 4 Scout inference details

Llama 4 Scout integrates text and image understanding, making it suitable for multimodal applications such as visual Q&A, content moderation, captioning, and analysis tasks involving images combined with textual data. It efficiently balances computational load via a mixture-of-experts architecture.

**Created by**: Meta  
**License**: other  
**🤗 model card**: [Llama-4-Scout-17B-16E-Instruct](https://huggingface.co/meta-llama/Llama-4-Scout-17B-16E-Instruct)

```python

```

## Meta Llama 3.3 70B inference overview

#### Price per 1M tokens

$0.71 (input)

$0.71 (output)

#### Parameters

70B

#### Context window

128K

#### Release date

Dec 2024

### Meta Llama 3.3 70B inference details

Llama 3.3 70B excels in multilingual conversational interactions, providing strong capabilities in detailed instruction-following, coding tasks, and mathematical reasoning. Ideal for general-purpose chatbots, complex text-based queries, and multilingual user interactions.

**Created by**: Meta  
**License**: llama3.3  
**🤗 model card**: [Llama-3.3-70B-Instruct](https://huggingface.co/meta-llama/Llama-3.3-70B-Instruct)

```python

```

## Meta Llama 3.1 8B inference overview

#### Price per 1M tokens

$0.22 (input)

$0.22 (output)

#### Parameters

8B

#### Context window

128K

#### Release date

July 2024

### Meta Llama 3.1 8B inference details

Llama 3.1 8B provides efficient multilingual conversational support ideal for applications where responsiveness and computational efficiency are critical. Effective for building chatbots, automated customer interactions, and applications needing fast yet reliable language understanding.

**Created by**: Meta  
**License**: llama3.1  
**🤗 model card**: [Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct)

```python

```

## Meta Llama resources

### A primer on building successful AI agents

[Read the whitepaper](https://wandb.ai/site/resources/whitepapers/building-successful-ai-agents/)

### W&B Inference powered by CoreWeave guide

[Get started](https://wandb.ai/wandb_fc/product-announcements-fc/reports/Introducing-W-B-Inference-powered-by-CoreWeave--VmlldzoxMzI1NjU0MQ)

### AI engineering course: Agents

[Take the free course](https://wandb.ai/site/courses/agents/)