Nvidia
Nvidia
Efficient

Mistral-NeMo-12B (NIM)

Efficient

Mistral Nemo 12B served as an NVIDIA NIM endpoint. Identical weights to Mistral upstream; the value is NIM packaging + enterprise NVIDIA AI Foundry integration.

Mistral-NeMo-12B (NIM) is a efficient AI model from Nvidia. It costs $0.150 per million input tokens and $0.150 per million output tokens (blended $0.150/M), with a 128,000-token context window.

INPUT
$0.150/M
per million input tokens
OUTPUT
$0.150/M
per million output tokens
BLENDED 70/30
$0.150/M
unchanged since 3 May
CONTEXT
128,000
tokens
What it is good at
  • Mistral Nemo quality
  • NIM enterprise packaging
  • NVIDIA Foundry integration
Typical use cases
  • NVIDIA-stack enterprise chat
  • NIM-based deployments

Benchmarks

vs. best public score
Scores inherited from Mistral Nemo — this is a hosted variant of the same open-weights model, so the underlying benchmark scores are identical.
MMLU68%
Multitask academic knowledge across 57 subjects.
Python function synthesis from docstrings.
LMArena Elo1153 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 Mistral-NeMo-12B (NIM) cost?

Mistral-NeMo-12B (NIM) costs $0.150 per million input tokens and $0.150 per million output tokens, for a blended reference rate of $0.150 per million tokens.

What is Mistral-NeMo-12B (NIM)'s context window?

Mistral-NeMo-12B (NIM) supports up to 128,000 tokens of context in a single request.

What is Mistral-NeMo-12B (NIM) best for?

Mistral-NeMo-12B (NIM) is well suited to Mistral Nemo quality, NIM enterprise packaging and NVIDIA Foundry integration.

Who makes Mistral-NeMo-12B (NIM)?

Mistral-NeMo-12B (NIM) is developed and served by Nvidia.

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