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Llama 3.1 405B Instruct on Fireworks AI

Llama 3.1 · AI at Meta

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Last refreshed 2026-04-19. Next refresh: weekly.

Why use Llama 3.1 405B Instruct on Fireworks AI?

Fireworks AI offers Llama 3.1 405B Instruct with pay-as-you-go pricing at $3.00/1M input tokens. Fireworks AI offers a generative AI platform as a service, focusing on rapid product iteration and cost-efficient AI deployment.

Compare Llama 3.1 405B Instruct across 11 providers to find the best fit for your use case
Input / 1M
$3.00
Output / 1M
$3.00
Cache
Not sourced
Batch
Not sourced

Setup recipe

Python + curl
Install
pip install openai
Auth
export FIREWORKS_API_KEY=...
Call
import os
from openai import OpenAI
client = OpenAI(
    api_key=os.environ["FIREWORKS_API_KEY"],
Model ID
llama3.1-405b-instruct

Request example

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["FIREWORKS_API_KEY"],
    base_url="https://api.fireworks.ai/inference/v1"
)
response = client.chat.completions.create(
    model="llama3.1-405b-instruct",
    messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)

Gotchas

  • Fireworks model IDs use "accounts/fireworks/models/{model-name}" format, e.g. "accounts/fireworks/models/llama4-scout-instruct-basic" or "accounts/fireworks/models/deepseek-r1".
  • The examples expect FIREWORKS_API_KEY; rename it only if your application config maps the new variable.

Compare Llama 3.1 405B Instruct Across Providers

ProviderInput (per 1M)Output (per 1M)
OctoAI API (Deprecated)$3.00$9.00
Together AI$5.00$15.00
Fireworks AI$3.00$3.00
IBM watsonx$3.00$9.00
Scale AI GenAI Platform
View all 11 providers →

Pricing

TypePrice (per 1M)
Input tokens$3.00
Output tokens$3.00

Capabilities

Structured Outputs

About Llama 3.1 405B Instruct

Llama 3.1 405B Instruct is Meta's advanced large language model released on July 23, 2024, featuring 405 billion parameters. It utilizes an optimized transformer architecture with supervised fine-tuning and reinforcement learning for enhanced instruction-following capabilities. The model supports multiple languages, was trained on 15 trillion tokens, and fine-tuned with 25 million synthetic examples. It excels in multilingual dialogue and text generation, making it ideal for assistant-like applications. Llama 3.1 incorporates robust safety measures and ethical considerations, outperforming many existing models on various industry benchmarks. AI engineers can access the model via its Hugging Face page for implementation in diverse NLP tasks.

FAQ

What does Llama 3.1 405B Instruct cost on Fireworks AI?

On Fireworks AI, Llama 3.1 405B Instruct costs $3 per 1M input tokens and $3 per 1M output tokens.

What is the context window for Llama 3.1 405B Instruct on Fireworks AI?

Llama 3.1 405B Instruct supports a 128,000 token context window on Fireworks AI.

How does Fireworks AI compare to other Llama 3.1 405B Instruct providers?

Llama 3.1 405B Instruct is available from 11 providers. The cheapest input pricing is $2.40/1M tokens from AWS Bedrock.

Who created Llama 3.1 405B Instruct?

Llama 3.1 405B Instruct was created by AI at Meta as part of the Llama 3.1 model family.

Is Llama 3.1 405B Instruct open source?

Llama 3.1 405B Instruct is open source according to the seed data.

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