Nvidia
Nvidia
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Llama-3.1-Nemotron-70B

RLHF-Aligned

NVIDIA's instruction-tuned Llama 3.1 70B. RLHF'd on top of Meta's base; consistently outranks vanilla 3.1 70B on chat benchmarks.

Llama-3.1-Nemotron-70B is a frontier AI model from Nvidia. It costs $0.350 per million input tokens and $0.400 per million output tokens (blended $0.365/M), with a 128,000-token context window.

INPUT
$0.350/M
per million input tokens
OUTPUT
$0.400/M
per million output tokens
BLENDED 70/30
$0.365/M
unchanged since 3 May
CONTEXT
128,000
tokens
What it is good at
  • Improved over base Llama 3.1 70B
  • NVIDIA NIM endpoints
  • Open weights
Typical use cases
  • Self-hosted chat (Llama-class)
  • NIM-based deployments
  • Fine-tune base

Benchmarks

vs. best public score
MMLU85%
Multitask academic knowledge across 57 subjects.
Graduate-level science questions, "Google-proof".
MATH72%
High-school competition math problems.
Python function synthesis from docstrings.
LMArena Elo1267 Elo
Crowd-sourced head-to-head preference Elo rating.
Hand-curated from each provider's published reports and public leaderboards. Methodology varies across sources, treat as directional rather than authoritative.

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Frequently asked questions

How much does Llama-3.1-Nemotron-70B cost?

Llama-3.1-Nemotron-70B costs $0.350 per million input tokens and $0.400 per million output tokens, for a blended reference rate of $0.365 per million tokens.

What is Llama-3.1-Nemotron-70B's context window?

Llama-3.1-Nemotron-70B supports up to 128,000 tokens of context in a single request.

What is Llama-3.1-Nemotron-70B best for?

Llama-3.1-Nemotron-70B is well suited to Improved over base Llama 3.1 70B, NVIDIA NIM endpoints and Open weights.

Who makes Llama-3.1-Nemotron-70B?

Llama-3.1-Nemotron-70B is developed and served by Nvidia. It was released in Oct 2024.

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