MetaOpen-weight·131K context·405B params·Llama 3.1 Community License

Llama 3.1 405B Instructmeta/llama-3-1-405b-instruct

Name: Llama 3.1 405B Instruct API
Brand: Meta
Availability: InStock

Meta's largest open-weight model — 405B dense Transformer. Widely hosted (Fireworks, Together, Replicate, etc.); the reference point for open-weight flagship quality.

Cheapest blended:$3.00 / 1M tokenson Fireworks.ai · 2 providers listed

Pricing across providers

Sort by:

Provider	Input /1M	Output /1M	Blended /1M	Latency p50	Format	Freshness	Action
Fireworks.ai accounts/fireworks/models/llama-v3p1-405b-instruct	$3.00	$3.00	$3.00	—	OpenAI-compatible	Verified 2d ago	Try →
Together.ai meta-llama/Meta-Llama-3.1-405B-Instruct-Turbo	$3.50	$3.50	$3.50	—	OpenAI-compatible	Verified 2d ago	Try →

Affiliate disclosure: We may earn a commission from qualified signups. Pricing independence is enforced at the data layer — see our Editorial Independence Policy.

Works with

Point any of these clients at a hosting's base URL — they all speak at least one of this model's endpoint protocols (OPENAI_COMPATIBLE).

Capabilities

chat
reasoning
code
tool_use

Languages: en, de, fr, es, it, pt, hi, th

Code samples

Example using Fireworks.ai — the cheapest hosting for this model as of last verification. Swap base_url and model to use a different provider from the matrix above.

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://api.example.com/v1",
)

response = client.chat.completions.create(
    model="accounts/fireworks/models/llama-v3p1-405b-instruct",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)

Technical specs

Context: 131K
Max output: 4K
Parameters: 405B
Release: —
Training cutoff: —
License: Llama 3.1 Community License

Hugging Face →Official blog →

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Comparison planned — not yet published
Llama 3.1 405B Instruct vs MiniMax-Text-01
Comparison planned — not yet published

Frequently asked

How much does Llama 3.1 405B Instruct cost?+

The cheapest public hosting is $3.00 per 1M blended tokens on Fireworks.ai. 2 total providers are listed above with per-input / per-output / cached pricing.

Is Llama 3.1 405B Instruct open-source? Can I fine-tune it?+

Yes. Llama 3.1 405B Instruct is open-weight under the Llama 3.1 Community License license. Weights are available on Hugging Face for local inference, fine-tuning, and commercial use (see license for specific terms).

Is Llama 3.1 405B Instruct OpenAI-compatible?+

Most listed hostings expose an OpenAI-compatible API, so you can point an existing openai SDK client at the Provider's base_url and use the Provider's model name. See the Code Samples above for a copy-pasteable example.

What's the maximum context window for Llama 3.1 405B Instruct?+

The model supports up to 131,072 tokens of context (input + output). Some hosted versions may impose a smaller limit — check the "Context" column in the pricing matrix for each provider.