# Meta Llama 3.3 70B Instruct API

> Llama 3.3 70B Instruct is Meta's instruction-tuned, text-only multilingual model released on December 6, 2024, built on an optimized transformer with grouped-query attention and a 128K-token context. It is optimized for assistant-style multilingual dialogue in eight officially supported languages, including English, German, French, Spanish, Hindi and Thai. It is a static open-weight model with a December 2023 knowledge cutoff, and its license also permits synthetic data generation and distillation.

Source: https://www.sandbase.ai/models/meta/llama-3.3-70b-instruct
API reference: https://www.sandbase.ai/models/meta/llama-3.3-70b-instruct/docs

## Facts

- Provider: Meta
- Type: Language model
- Model ID: `meta/llama-3.3-70b-instruct`
- Price: $0.10 per 1M input tokens, $0.32 per 1M output tokens
- Context window: 131.1K tokens, up to 16.4K output tokens
- Capabilities: chat, structured output, function calling
- Billing: pay per use from one SandBase balance; no provider account or subscription needed

## Call it

- Chat Completions API: `POST https://api.sandbase.ai/v1/chat/completions`

```bash
curl -X POST https://api.sandbase.ai/v1/chat/completions \
  -H "Authorization: Bearer $SANDBASE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "meta/llama-3.3-70b-instruct",
  "messages": [
    {
      "role": "user",
      "content": "Hello"
    }
  ],
  "max_tokens": 2048
}'
```

## FAQ

### How do I call Meta Llama 3.3 70B Instruct through SandBase?

Create a SandBase API key, then send requests with the model ID "meta/llama-3.3-70b-instruct" to Chat Completions API (/v1/chat/completions) at https://api.sandbase.ai. The request examples on this page show the exact payload.

### How much does Meta Llama 3.3 70B Instruct cost?

$0.10 per 1M input tokens and $0.32 per 1M output tokens, billed per request from your SandBase balance. Discounts, when available, are shown in the pricing on this page.

### What is the context window of Meta Llama 3.3 70B Instruct?

131.1K tokens of context, with up to 16.4K output tokens per response.

### How does Meta Llama 3.3 70B Instruct score on benchmarks?

Meta Llama 3.3 70B Instruct scores 7.7 on the Artificial Analysis Intelligence Index (v4.3), ranking #79 of 83 models on SandBase; Coding Index 11.9. Source: Artificial Analysis, measured as Llama 3.3 Instruct 70B.

### Which features does Meta Llama 3.3 70B Instruct support?

Meta Llama 3.3 70B Instruct supports function calling, structured output. See Specifications above for the full list.

### Do I need a separate Meta account?

No. One SandBase API key and balance gives you access to Meta Llama 3.3 70B Instruct and the other models in the catalog; you do not need to sign up with Meta separately.