LLM Reference

Llama 3.1-405B

Released
2024-07-23
Last refreshed
2026-06-15
Status
Researched 74d ago
Open weightsCommercial use: conditionalRAGAgentsLong contextClassificationJSON / Tool use

Llama 3.1-405B is worth evaluating for rag, agents, and long context when its provider route and context window match the workload.

Use it for

  • Teams evaluating rag, agents, and long context
  • Workloads that can use a 128k context window
  • Buyers comparing 2 tracked provider routes

Do not use it for

  • Vision or document-understanding workloads
Specifications
Family
Llama 3.1
Released
2024-07-23
Context
128k
Parameters
405B
Knowledge cutoff
2024-04
Openness
Open weights
License
Llama 3 CommunityCommercial use: conditional
Created by

Large-scale open-source AI for social technologies.

Menlo Park, California, United States
Founded 2013
Website
Pricing
Output / 1M
$3.75
Input / 1M
$3.75

Cheapest of 2 routes · Replicate API

About

Meta's flagship Llama 3.1 model with 405B parameters and 128K context window. Open-weights model with strong reasoning and coding capabilities.

Llama 3.1-405B is an open-weight model in the Llama 3.1 family. The structured metadata tracks a 128k-token context window, function calling, tool use, and structured outputs. This page tracks provider routes through GCP Vertex AI and Replicate API, with the cheapest tracked route listed at $3.75 input and $3.75 output per 1M tokens. Headline tracked benchmarks include MMLU PRO 73.2.

Top use-case fit: coding, agents, and build tasks

RAG

Included by capability and metadata signals in the decision map.

Agents

Included by capability and metadata signals in the decision map.

Long context

Included by capability and metadata signals in the decision map.

Provider price ladder

Compare all 2

Compare API pricing across 2 providers for input and output tokens, batch, and cached reads when available.

ProviderInput / 1MOutput / 1MRoute
Replicate API$3.75$3.75
Serverless
GCP Vertex AI$5.00$16.00
Serverless

Available via routers & gateways(13)

Capabilities

Function CallingTool UseStructured OutputsFine-tuning

Benchmark peer barsfor Classification

Benchmark scores(1)

Scores are benchmark-specific and are direction-aware: the same numeric gap can mean very different outcomes across suites. Use the leaderboard context and this model's provider route to decide whether the winning margin is meaningful for your workload.
BenchmarkScoreVersionSource
MMLU PRO73.2https://huggingface.co/spaces/TIGER-Lab/MMLU-Pro

Migration checks

No linked migration route is available for this model yet.

Frequently asked questions

What is the context window of Llama 3.1-405B?

Llama 3.1-405B has a context window of 128k tokens.

How much does Llama 3.1-405B cost?

Llama 3.1-405B pricing ranges from $3.75/1M to $5/1M input tokens depending on the provider.

When was Llama 3.1-405B released?

Llama 3.1-405B was released on 2024-07-23.

Which providers offer Llama 3.1-405B?

Llama 3.1-405B is available from 2 providers: GCP Vertex AI, Replicate API.

What benchmarks has Llama 3.1-405B been tested on?

Llama 3.1-405B has been evaluated on 1 benchmark, including MMLU PRO.