Using Llama 3.3 70B Instruct (free) on Vercel AI Gateway
Implementation guide · Llama 3.3 · AI at Meta
ServerlessOpen Weights
Vercel AI Gateway exposes Llama 3.3 70B Instruct (free) through model ID meta/llama-3.3-70b. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.
Last refreshed 2026-07-09. Next refresh: weekly.
Quick Start
- 1
- 2Use the Vercel AI Gateway SDK or REST API to call
meta/llama-3.3-70b— see the documentation for request format. - 3
Code Examples
Install
pip install openaiAPI key
AI_GATEWAY_API_KEYModel ID
meta/llama-3.3-70bcreator/model-name e.g. kwaipilot/kat-coder-pro-v2
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["AI_GATEWAY_API_KEY"],
base_url="https://ai-gateway.vercel.sh/v1"
)
response = client.chat.completions.create(
model="meta/llama-3.3-70b",
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)Pricing on Vercel AI Gateway
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.72 |
| Output tokens | $0.72 |
Capabilities
Structured Outputs
About Llama 3.3 70B Instruct (free)
Meta: Llama 3.3 70B Instruct (free) available via OpenRouter. Pricing: $null/1M input, $null/1M output.
Model Specs
Released2024-12-06
Parameters70B
Context66k
ArchitectureDecoder Only
Knowledge cutoff2023-12