🏆 FlagshipBudget-Friendly
Llama 3.1 405B
Largest open-source model rivaling proprietary alternatives
Input Price
$3.5
per 1M tokens
Output Price
$3.5
per 1M tokens
Context Window
128K
tokens (32.768K max output)
Specifications
Release Date2024-07-23
Category🏆 Flagship
Context Window128,000 tokens
Max Output32,768 tokens
ProviderMeta (via Together AI)
Input Cost$3.5 / 1M tokens
Output Cost$3.5 / 1M tokens
Price TierBudget-Friendly
Capabilities
textcodereasoning
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✍️
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Monthly Cost Estimates
| Usage Level | Daily Tokens | Daily | Monthly | Yearly |
|---|---|---|---|---|
| Light~50 requests/day | 100K in / 20K out | $0.42 | $12.60 | $153 |
| Medium~200 requests/day | 500K in / 100K out | $2.10 | $63.00 | $767 |
| Heavy~1K requests/day | 2,000K in / 500K out | $8.75 | $262.50 | $3194 |
| Enterprise~5K requests/day | 10,000K in / 2,000K out | $42.00 | $1260.00 | $15330 |
Cost Calculator
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Frequently Asked Questions
How much does Llama 3.1 405B API cost per million tokens?▼
Llama 3.1 405B costs $3.5 per million input tokens and $3.5 per million output tokens as of 2026. These are the standard API rates from Meta (via Together AI).
What is the Llama 3.1 405B context window?▼
Llama 3.1 405B supports a 128K context window (128,000 tokens), which means you can process up to 128K tokens in a single API call.
How much does Llama 3.1 405B cost per month?▼
At medium usage (~200 requests/day with 500K input and 100K output tokens/day), Llama 3.1 405B costs approximately $63.00/month. Light usage runs about $12.60/month, and heavy usage (~1K requests/day) around $262.50/month.
Is there a cheaper alternative to Llama 3.1 405B?▼
Yes — Claude Haiku 4.5 by Anthropic is a cheaper option at $1/M input tokens vs $3.5/M for Llama 3.1 405B. Other budget alternatives include models in the efficient tier.
Is Llama 3.1 405B good for ai agent / agentic workflows?▼
Llama 3.1 405B is a flagship model with support for text, code, reasoning. For ai agent / agentic workflows, it offers 128K context and costs $3.5/M input tokens — a budget-friendly choice for this use case.
Llama 3.1 405B Comparisons
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