Meta Llama 3.1 405B Instruct
Open weightsMeta Llama 3.1 405B Instruct is a language model from Meta with a 4K-token context window. Provider list price is $3.50 per million input tokens and $3.50 per million output; on Allocate you pay $3.75 and $3.75 with the 7% transaction fee. The weights are open under Llama community, so you can fine-tune it and own the result.
Pricing
Token usage bills at the provider list price plus the 7% transaction fee. Prices checked 2026-07-08.
Price against its peers
Provider list prices per M tokens, Meta Llama 3.1 405B Instruct against its nearest language peers by price.
What a real workload costs
Take 1,000,000 requests a month at 1,200 input and 350 output tokens each: 1,200M input and 350M output tokens. At list prices that is 1,200 × $3.50 + 350 × $3.50 = $5,425 a month. Billed on Allocate it is $5,805 with the 7% transaction fee.
Meta Llama 3.1 405B Instruct is an open-weights model under the Llama community license. Read the license terms once before you build on it; fine-tuned weights on Allocate stay inside your boundary.
Example usage
Point a route at meta/llama-3.1-405b-instruct and the endpoint never changes; swap the model behind it whenever you want.
curl https://api.allocate.network/v1/chat/completions \ -H "Authorization: Bearer $ALLOCATE_KEY" \ -d '{ "model": "meta/llama-3.1-405b-instruct", "messages": [{"role": "user", "content": "Summarise the attached contract."}] }'
Common questions
How much does Meta Llama 3.1 405B Instruct cost per million tokens?
Provider list price is $3.50 per million input tokens and $3.50 per million output tokens. On Allocate you pay list plus the 7% transaction fee: $3.75 in and $3.75 out.
What context window does Meta Llama 3.1 405B Instruct have?
4,096 tokens (4K). At roughly 0.75 words per token, that is about 3k words of English text per request.
Can I fine-tune Meta Llama 3.1 405B Instruct?
Yes. Meta Llama 3.1 405B Instruct is an open-weights model under the Llama community license. Read the license terms before fine-tuning for commercial use. On Allocate the trained weights stay inside your boundary and belong to you.
How do I call Meta Llama 3.1 405B Instruct on Allocate?
Send meta/llama-3.1-405b-instruct in the model field of the OpenAI-compatible endpoint at api.allocate.network/v1, or point a route name (like prod/support-agent) at it so you can swap the model later without a deploy.