Nvidia
Nvidia
Frontier

Nemotron-4-340B

Large

Nemotron-4 340B, NVIDIA's 2024 dense flagship. Designed primarily as a synthetic data generator for downstream training.

Nemotron-4-340B is a frontier AI model from Nvidia. It costs $4.200 per million input tokens and $4.200 per million output tokens (blended $4.200/M), with a 4,000-token context window.

INPUT
$4.200/M
per million input tokens
OUTPUT
$4.200/M
per million output tokens
BLENDED 70/30
$4.200/M
unchanged since 3 May
CONTEXT
4,000
tokens
What it is good at
  • 340B dense parameters
  • Synthetic data generation focus
  • Open weights
Typical use cases
  • Synthetic data pipelines
  • Distillation source
  • Quality-ceiling research

Benchmarks

vs. best public score
MMLU79%
Multitask academic knowledge across 57 subjects.
Python function synthesis from docstrings.
Hand-curated from each provider's published reports and public leaderboards. Methodology varies across sources, treat as directional rather than authoritative.

More from Nvidia

See all 6 →

Frequently asked questions

How much does Nemotron-4-340B cost?

Nemotron-4-340B costs $4.200 per million input tokens and $4.200 per million output tokens, for a blended reference rate of $4.200 per million tokens.

What is Nemotron-4-340B's context window?

Nemotron-4-340B supports up to 4,000 tokens of context in a single request.

What is Nemotron-4-340B best for?

Nemotron-4-340B is well suited to 340B dense parameters, Synthetic data generation focus and Open weights.

Who makes Nemotron-4-340B?

Nemotron-4-340B is developed and served by Nvidia. It was released in Jun 2024.

Terms used on this page