Last refreshed 2026-07-09. Next refresh: weekly.
Why use Llama 3.3 70B Instruct (free) on Vercel AI Gateway?
Vercel AI Gateway offers Llama 3.3 70B Instruct (free) with pay-as-you-go pricing at $0.72/1M input tokens. Vercel AI Gateway is a unified AI proxy providing a single OpenAI-compatible API endpoint to 275+ models from 25+ providers including Anthropic, OpenAI, Google, Meta, Mistral, DeepSeek, xAI, Alibaba, Amazon, ByteDance, Cohere, MiniMax, MoonshotAI, KwaiPilot, Black Forest Labs, Recraft, Voyage AI, NVIDIA, and more.
Compare Llama 3.3 70B Instruct (free) across 11 providers to find the best fit for your use caseInput / 1M
$0.72
Output / 1M
$0.72
Cache
Not sourced
Batch
Not sourced
Setup recipe
Python + curlInstall
pip install openaiAuth
export AI_GATEWAY_API_KEY=...Call
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["AI_GATEWAY_API_KEY"],Model ID
meta/llama-3.3-70bRequest example
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)Gotchas
- Use provider model ID "meta/llama-3.3-70b", not the LLMReference slug "llama-3.3-70b-instruct".
- creator/model-name e.g. kwaipilot/kat-coder-pro-v2
- The examples expect AI_GATEWAY_API_KEY; rename it only if your application config maps the new variable.
Compare Llama 3.3 70B Instruct (free) Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| Cloudflare Workers AI | $0.29 | $2.25 |
| NVIDIA NIM | — | — |
| GroqCloud | $0.59 | $0.79 |
| Together AI | $1.04 | $1.04 |
| Arcee AI | $0.60 | $1.80 |
Pricing
| 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.
Get Started
Model Specs
Released2024-12-06
Parameters70B
Context66k
ArchitectureDecoder Only
Knowledge cutoff2023-12