Meta: Llama 3.3 70B Instruct✓ Catalog verified
The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out). The Llama 3.3 instruction tuned text only model is optimized for multilingual dialogue use cases and outperforms many of the available open source and closed chat models on common industry benchmarks. Supported languages: English, German, French, Italian, Portuguese, Hindi, Spanish, and Thai. Model Card
Overview
The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out). The Llama 3.3 instruction tuned text only model is optimized for multilingual dialogue use cases and outperforms many of the available open source and closed chat models on common industry benchmarks. Supported languages: English, German, French, Italian, Portuguese, Hindi, Spanish, and Thai. Model Card
Access: available through the official Meta API. Context window: 131K.
Specifications
| API identifier | meta-llama/llama-3.3-70b-instruct |
| Provider | Meta |
| Model type | Text LLM |
| Context window | 131K catalog |
| Input modalities | text |
| Output modalities | text |
| Released | Dec 6, 2024 |
| Tokenizer | Llama3 |
| Instruction format | llama3 |
| Moderated | No |
| Architecture modality | text->text |
Pricing
Live pricing components for meta-llama/llama-3.3-70b-instruct as published in the catalog.
| Pricing component | Raw unit price | Normalized | Unit |
|---|---|---|---|
| Prompt tokens | $1e-7 | $0.10 / 1M | Per input token |
| Completion tokens | $3.2e-7 | $0.32 / 1M | Per output token |
| Request fee | N/A | N/A | Per request |
| Image fee | N/A | N/A | Per image unit |
| Web search fee | N/A | N/A | Per search request |
Cost calculator
Estimate monthly spend from your own token volumes.
Estimated Total Cost
$0.11Calculated from current list pricing in the ModelsAtlas catalog.Capabilities
| Capability | Status | What it means |
|---|---|---|
| Visual Understanding | Not advertised | Image and document analysis support |
| Audio Processing | Not advertised | Speech and voice aligned flows |
| Tool Calling | ✓ Supported | Supports tools / function calling |
| Self-Hosting | ✓ Supported | Deploy outside managed APIs |
Capability signals
Directional signals derived from model metadata and capability tags — not official benchmark submissions.
Quick start
Call Meta: Llama 3.3 70B Instruct through an OpenAI-compatible client.
from openai import OpenAI
client = OpenAI(
base_url="https://openrouter.ai/api/v1",
api_key="YOUR_API_KEY"
)
response = client.chat.completions.create(
model="meta-llama/llama-3.3-70b-instruct",
messages=[{"role": "user", "content": "Explain quantum physics."}]
)
print(response.choices[0].message.content)Alternatives
Closest models by context window from a different provider.
| Model | Provider | Context | Input /1M | Actions |
|---|---|---|---|---|
| AionLabs: Aion-1.0 | Aion Labs | 131K | $4.00 | View → |
| AionLabs: Aion-1.0-Mini | Aion Labs | 131K | $0.70 | View → |
Sources & attribution
Pricing and metadata are maintained in the ModelsAtlas catalog.
Frequently asked questions
How much does Meta: Llama 3.3 70B Instruct cost?
$0.10 per 1M input tokens and $0.32 per 1M output tokens on the official Meta API.
What is the context window of Meta: Llama 3.3 70B Instruct?
Meta: Llama 3.3 70B Instruct supports up to 131K tokens of context.
Does Meta: Llama 3.3 70B Instruct support tool / function calling?
Yes, Meta: Llama 3.3 70B Instruct supports tool / function calling — you can register tools and the model will emit structured tool calls.
How do I access Meta: Llama 3.3 70B Instruct?
Use the official Meta API with the model id `meta-llama/llama-3.3-70b-instruct`. See the Quick start section above for code examples.