Last refreshed 2026-07-09. Next refresh: weekly.
Why use Llama 3.2 1B Instruct on Vercel AI Gateway?
Vercel AI Gateway offers Llama 3.2 1B Instruct with pay-as-you-go pricing at $0.10/1M 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 3.2 1B Instruct across 7 providers to find the best fit for your use caseInput / 1M
$0.10
Output / 1M
$0.10
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-3.2-1bRequest 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-3.2-1b",
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)Gotchas
- Use provider model ID "meta/llama-3.2-1b", not the LLMReference slug "llama-3.2-1b-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 3.2 1B Instruct Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| Cloudflare Workers AI | $0.03 | $0.20 |
| OpenRouter | $0.03 | $0.20 |
| Fireworks AI | $0.10 | $0.10 |
| NVIDIA NIM | — | — |
| Bitdeer AI | $0.15 | $0.45 |
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.10 |
| Output tokens | $0.10 |
Capabilities
Structured Outputs
About Llama 3.2 1B Instruct
Llama 3.2 1B Instruct is Meta's Llama 3.2 model. It offers a 128K-token context window with weights openly available for self-hosting and scores 25.6 on GPQA.
Get Started
Model Specs
Released2024-09-25
Parameters1.23B
Context128k
ArchitectureDecoder Only
Knowledge cutoff2023-12