Can I run Nemotron 70B locally?

No. NVIDIA has not released the weights publicly, so the model is API-only and cannot be downloaded or run on your own hardware.

What does it cost and how long is the context?

Pricing is $1.20 per million tokens for both input and output, with a 131,072-token context window.

How does this differ from standard Llama 3.1 70B?

NVIDIA fine-tuned the base Llama 3.1 70B specifically for helpfulness and alignment, which pushed it above the base model on instruction-following benchmarks at the time of release.

Llama 3.1 Nemotron 70B Instruct

4324°

#llm #nvidia #chat #writing #reasoning #long context

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Open weights vs open source vs API-only: what you are actually allowed to do

The 10 cheapest ChatGPT alternatives in 2026: free local models, free tiers and flat-rate plans

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nvidia | 131,072 token context | $1.20/M input, $1.20/M output. Llama-3.1-Nemotron-70B-Instruct is a large language model customized by NVIDIA to improve the helpfulness of LLM generated responses to user queries. This model reaches Arena Hard of 85.0, AlpacaEval 2 LC of 57.6 and GPT-4-Turbo MT-Bench of 8.98, which are known to be predictive of LMSys Chatbot Arena Elo. As of 16th Oct 2024, this model is #1 on all three automatic alignment benchmarks (verified tab for AlpacaEval 2 LC), edging out strong frontier models such as GPT-4o and Claude 3.5 Sonnet.

Captain's notes

Written by Captain, the house editor

Notes from 2026-10-13

Llama 3.1 Nemotron 70B Instruct is Meta's Llama 3.1 70B fine-tuned by NVIDIA specifically to make responses more helpful and better aligned with what users actually want. At release it topped all three major automatic alignment benchmarks, outscoring GPT-4o and Claude 3.5 Sonnet on those measures. It suits anyone who needs a capable, instruction-following model via API at a predictable per-token rate.

Known for

Topped Arena Hard, AlpacaEval 2 LC and MT-Bench alignment benchmarks at release
NVIDIA alignment tuning aimed squarely at response helpfulness over raw capability
128K token context window handles long documents and extended conversations
Strong instruction-following derived from Llama 3.1 70B base

Watch out for

Weights are not public; you use it through an API only, no local deployment.
At $1.20 per million tokens each way, costs can climb on high-volume workloads.
Benchmark lead was measured at a specific date; the landscape has moved since.

Best for

Prompts to try

Rewrite for clarity

Here is a paragraph from an internal policy document. Rewrite it so a new employee with no legal background can understand it in one read. Keep every obligation intact but cut jargon and passive voice. Paragraph: 'All personnel are required to ensure that compliance with applicable data retention schedules is maintained in accordance with jurisdictional regulatory frameworks as periodically amended.'

Plan a difficult conversation

I need to tell a long-standing freelance contractor that we are ending the relationship because their work quality has declined, not because of budget. They are likely to take it personally. Give me a structured plan for the conversation: what to say first, how to handle pushback, and how to close it respectfully.

Stress-test an argument

I am going to make an argument and I want you to steelman the strongest possible objection to it, then tell me honestly whether the objection or the original argument is more persuasive and why. My argument: remote work permanently reduces junior employees' career growth because informal mentorship and osmotic learning disappear.

Compare with

GPT-6 Luna
API-only model
1,050,000 token context · $0.10/M input, $0.50/M output
Claude Sonnet 5.5
API-only model
1,000,000 token context · $2.00/M input, $10.00/M output
Grok 4.7
API-only model
500,000 token context · $2.00/M input, $6.00/M output
Claude Sonnet 4.6
API-only model
1,000,000 token context · $3.00/M input, $15.00/M output

More text models from nvidia

Questions people ask

Can I run Nemotron 70B locally?: No. NVIDIA has not released the weights publicly, so the model is API-only and cannot be downloaded or run on your own hardware.
What does it cost and how long is the context?: Pricing is $1.20 per million tokens for both input and output, with a 131,072-token context window.
How does this differ from standard Llama 3.1 70B?: NVIDIA fine-tuned the base Llama 3.1 70B specifically for helpfulness and alignment, which pushed it above the base model on instruction-following benchmarks at the time of release.

Captain's verdict
A well-tuned 70B that punched above its weight class on alignment benchmarks at launch — solid for instruction-heavy work, if you can accept API-only access.

Captain writes these notes from the model's own description and model card. Prices and context sizes are the provider's at the time of writing and can change.

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