LLM Reference

Llama 3.1 8B Instruct on Vercel AI Gateway

Llama 3.1 · AI at Meta

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Last refreshed 2026-05-22. Next refresh: weekly.

Why use Llama 3.1 8B Instruct on Vercel AI Gateway?

Vercel AI Gateway offers Llama 3.1 8B Instruct with pay-as-you-go pricing at $0.22/1M 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 3.1 8B Instruct across 14 providers to find the best fit for your use case
Input / 1M
$0.22
Output / 1M
$0.22
Cache
Not sourced
Batch
Not sourced

Setup recipe

Python + curl
Install
pip install openai
Auth
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-3.1-8b

Request 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-3.1-8b",
    messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)

Gotchas

  • Use provider model ID "meta/llama-3.1-8b", not the LLMReference slug "llama3.1-8b-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 3.1 8B Instruct Across Providers

ProviderInput (per 1M)Output (per 1M)
OctoAI API (Deprecated)$0.15$0.15
Together AI$0.18$0.18
Fireworks AI$0.20$0.20
NVIDIA NIM
GroqCloud$0.05$0.08
View all 14 providers →

Pricing

TypePrice (per 1M)
Input tokens$0.22
Output tokens$0.22

Capabilities

Structured Outputs

About Llama 3.1 8B Instruct

The Llama 3.1 8B Instruct model, released on July 23, 2024, is a multilingual large language model with 8 billion parameters, optimized for instruction-following tasks. It features an enhanced transformer architecture, supporting languages like English, German, French, and others. The model excels in dialogue applications, having been fine-tuned using supervised fine-tuning and reinforcement learning with human feedback. Trained on approximately 15 trillion tokens with a December 2023 data cutoff, it outperforms many existing open-source and closed chat models in various benchmarks. Ideal for commercial and research applications such as conversational agents and content generation, the model can be accessed on Hugging Face .

FAQ

What does Llama 3.1 8B Instruct cost on Vercel AI Gateway?

On Vercel AI Gateway, Llama 3.1 8B Instruct costs $0.22 per 1M input tokens and $0.22 per 1M output tokens.

What is the context window for Llama 3.1 8B Instruct on Vercel AI Gateway?

Llama 3.1 8B Instruct supports a 128,000 token context window on Vercel AI Gateway.

How does Vercel AI Gateway compare to other Llama 3.1 8B Instruct providers?

Llama 3.1 8B Instruct is available from 14 providers. The cheapest input pricing is $0.02/1M tokens from OpenRouter.

What API model ID do I use for Llama 3.1 8B Instruct on Vercel AI Gateway?

Use the model ID meta/llama-3.1-8b when calling Vercel AI Gateway's API.

Who created Llama 3.1 8B Instruct?

Llama 3.1 8B Instruct was created by AI at Meta as part of the Llama 3.1 model family.

Is Llama 3.1 8B Instruct open source?

Llama 3.1 8B Instruct is open source according to the seed data.

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