Llama 3.1 Nemotron 70B Instruct HF
Open weightsLlama 3.1 Nemotron 70B Instruct HF is a language model from nvidia with a 32K-token context window. Provider list price is $0.88 per million input tokens and $0.88 per million output; on Allocate you pay $0.94 and $0.94 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, Llama 3.1 Nemotron 70B Instruct HF 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 × $0.88 + 350 × $0.88 = $1,364 a month. Billed on Allocate it is $1,459 with the 7% transaction fee.
Llama 3.1 Nemotron 70B Instruct HF 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 nvidia/llama-3.1-nemotron-70b-instruct-hf 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": "nvidia/llama-3.1-nemotron-70b-instruct-hf", "messages": [{"role": "user", "content": "Summarise the attached contract."}] }'
Common questions
How much does Llama 3.1 Nemotron 70B Instruct HF cost per million tokens?
Provider list price is $0.88 per million input tokens and $0.88 per million output tokens. On Allocate you pay list plus the 7% transaction fee: $0.94 in and $0.94 out.
What context window does Llama 3.1 Nemotron 70B Instruct HF have?
32,768 tokens (32K). At roughly 0.75 words per token, that is about 25k words of English text per request.
Can I fine-tune Llama 3.1 Nemotron 70B Instruct HF?
Yes. Llama 3.1 Nemotron 70B Instruct HF 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 Llama 3.1 Nemotron 70B Instruct HF on Allocate?
Send nvidia/llama-3.1-nemotron-70b-instruct-hf 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.