Llama 3.1 405B Instruct
Llama 3.1 405B Instruct is worth evaluating for rag, long context, and classification when its provider route and context window match the workload.
Use it for
- Teams evaluating rag, long context, and classification
- Workloads that can use a 128k context window
- Buyers comparing 4 tracked provider routes
Do not use it for
- Vision or document-understanding workloads
- Family
- Llama 3.1
- Released
- 2024-07-23
- Context
- 128k
- Parameters
- 405B
- Architecture
- Decoder Only
- Knowledge cutoff
- 2023-12
- Specialization
- general
- Openness
- Open weights
- License
- Llama 3 CommunityCommercial use: conditional
- Weights
- Available
- Code
- Unknown
- Training
- Fine-tuned
Large-scale open-source AI for social technologies.
Cheapest of 11 routes · AWS Bedrock
About
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.
Llama 3.1 405B Instruct is an open-weight model in the Llama 3.1 family. The structured metadata tracks a 128k-token context window and structured outputs. This page tracks provider routes through OctoAI API (Deprecated), Together AI, Fireworks AI, and 8 more, with the cheapest tracked route listed at $2.4 input and $2.4 output per 1M tokens. Headline tracked benchmarks include Massive Multitask Language Understanding 88.6.
Top use-case fit
RAG
Included by capability and metadata signals in the decision map.
Long context
Included by capability and metadata signals in the decision map.
Classification
Q/$ D1 relevant benchmark in the decision map.
Provider price ladder
Compare all 11Compare API pricing across 4 providers for input and output tokens, batch, and cached reads when available.
| Provider | Input / 1M | Output / 1M | Route |
|---|---|---|---|
| AWS Bedrock | $2.40 | $2.40 | Serverless |
| Fireworks AI | $3.00 | $3.00 | Serverless |
| Hyperbolic AI Inference | $4.00 | $4.00 | Serverless |
| IBM watsonx | $3.00 | $9.00 | Serverless |
Available via routers & gateways(16)
LiteLLM
GatewayOpen-source Python SDK and proxy server that unifies 100+ LLM APIs behind a single OpenAI-compatible interface, with load balancing, cost tracking, and configurable failover.
OpenRouter
HybridUnified hybrid gateway to 400+ models from 60+ providers via a single OpenAI-compatible API, with optional auto-routing that selects the best model per prompt.
Portkey
GatewayProduction AI gateway routing to 1,600+ LLMs with failover, load balancing, semantic caching, and guardrails; Apache 2.0 core is fully self-hostable with the complete feature set.
AIRouter
RouterCommercial LLM router that analyzes incoming requests and routes to the optimal model for cost/quality/latency via a drop-in OpenAI-compatible API, with a privacy-preserving embedding mode that avoids sending prompt content.
Amazon Bedrock Intelligent Prompt Routing
RouterAWS Bedrock's native intelligent prompt router that routes prompts between Anthropic Claude model tiers (Haiku/Sonnet) based on predicted task complexity, with no extra per-routing charge.
Azure AI Foundry Model Router
RouterMicrosoft Azure AI Foundry's native model router that uses a trained ML model to route each prompt in real time to the optimal Azure-hosted model, with Balanced/Cost/Quality mode selection and automatic failover.
Capabilities
Benchmark peer barsfor Classification
Benchmark scores(1)
| Benchmark | Score | Version | Evaluation | Source |
|---|---|---|---|---|
| Massive Multitask Language Understanding | 88.6 | 5-shotObserved 2026-03-07 | — | Source |
Migration checks
No linked migration route is available for this model yet.
Compare Llama 3.1 405B Instruct with other models
- Llama 3.1 405B Instruct vs Qwen2.5-72B132
- Llama 3.1 405B Instruct vs Together AI - Llama 3 8B Lite124
- Llama 3.1 405B Instruct vs DeepSeek V3.1100
- Llama 3.1 405B Instruct vs DeepSeek V387
- Llama 3.1 405B Instruct vs Mistral NeMo (2407)73
- Llama 3.1 405B Instruct vs Qwen3.6-27B63
- Llama 3.1 405B Instruct vs Mistral NeMo Instruct (2407)61
- Llama 3.1 405B Instruct vs Grok-334
Comparison and alternatives
Browse all comparisons →Show all 19 popular comparisonssorted by 7-day search impressions
Frequently asked questions
What is the context window of Llama 3.1 405B Instruct?
Llama 3.1 405B Instruct has a context window of 128k tokens.
How much does Llama 3.1 405B Instruct cost?
Llama 3.1 405B Instruct pricing ranges from $2.40/1M to $5.33/1M input tokens depending on the provider.
When was Llama 3.1 405B Instruct released?
Llama 3.1 405B Instruct was released on 2024-07-23.
Which providers offer Llama 3.1 405B Instruct?
Llama 3.1 405B Instruct is available from 11 providers: OctoAI API (Deprecated), Together AI, Fireworks AI, IBM watsonx, Scale AI GenAI Platform, NVIDIA NIM, Microsoft Foundry, Databricks Foundation Model Serving, Hyperbolic AI Inference, AWS Bedrock, GCP Vertex AI.
What benchmarks has Llama 3.1 405B Instruct been tested on?
Llama 3.1 405B Instruct has been evaluated on 1 benchmark, including Massive Multitask Language Understanding.
Large-scale open-source AI for social technologies.
Cheapest of 11 routes · AWS Bedrock