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Fireworks AI

Llama 3.3 70B on Fireworks AI

Llama 3.3 · AI at Meta

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Last refreshed 2026-04-18. Next refresh: weekly.

Why use Llama 3.3 70B on Fireworks AI?

Fireworks AI offers Llama 3.3 70B with pay-as-you-go pricing at $0.90/1M input tokens. Fireworks AI offers a generative AI platform as a service, focusing on rapid product iteration and cost-efficient AI deployment.

Input / 1M
$0.90
Output / 1M
$0.90
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
llama-3.3-70b

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="llama-3.3-70b",
    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.

Pricing

TypePrice (per 1M)
Input tokens$0.90
Output tokens$0.90

Capabilities

VisionMultimodalFunction CallingTool Use

About Llama 3.3 70B

Meta's Llama 3.3 70B, open-source model with improved reasoning and instruction-following.

FAQ

What does Llama 3.3 70B cost on Fireworks AI?

On Fireworks AI, Llama 3.3 70B costs $0.9 per 1M input tokens and $0.9 per 1M output tokens.

What is the context window for Llama 3.3 70B on Fireworks AI?

Llama 3.3 70B supports a 8,000 token context window on Fireworks AI.

Who created Llama 3.3 70B?

Llama 3.3 70B was created by AI at Meta as part of the Llama 3.3 model family.

Is Llama 3.3 70B open source?

Llama 3.3 70B is open source according to the seed data.

Get Started

Model Specs

Released2025-12-09
Parameters70B
Context8K
ArchitectureDecoder Only
Knowledge cutoff2024-12