Phi-3-Mini-4K (NIM)
Nano
Microsoft Phi-3 Mini hosted as an NVIDIA NIM. Same Phi-3 weights, packaged for NVIDIA AI Foundry deployment.
Phi-3-Mini-4K (NIM) is a efficient AI model from Nvidia. It costs $0.040 per million input tokens and $0.040 per million output tokens (blended $0.040/M), with a 4,000-token context window.
INPUT
$0.040/M
per million input tokens
OUTPUT
$0.040/M
per million output tokens
CONTEXT
4,000
tokens
What it is good at
- Phi-3 mini quality
- NIM packaging
- On-device or NVIDIA-stack deployment
Typical use cases
- NVIDIA-stack edge inference
- NIM-based small-model deployments
Benchmarks
vs. best public score
Scores inherited from Phi-3 Mini — this is a hosted variant of the same open-weights model, so the underlying benchmark scores are identical.
Hand-curated from each provider's published reports and public leaderboards. Methodology varies across sources, treat as directional rather than authoritative.
More from Nvidia
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RLHF-Aligned · 128,000 ctx
in $0.350/Mout $0.400/M
Llama-3.1-Nemotron-Ultra-253B
Ultra · 128,000 ctx
in $1.600/Mout $1.600/M
Nemotron-4-340B
Large · 4,000 ctx
in $4.200/Mout $4.200/M
Mistral-NeMo-12B (NIM)
Efficient · 128,000 ctx
in $0.150/Mout $0.150/M
Mistral-Large-2 (NIM)
Enterprise · 128,000 ctx
in $2.000/Mout $6.000/M
Frequently asked questions
How much does Phi-3-Mini-4K (NIM) cost?
Phi-3-Mini-4K (NIM) costs $0.040 per million input tokens and $0.040 per million output tokens, for a blended reference rate of $0.040 per million tokens.
What is Phi-3-Mini-4K (NIM)'s context window?
Phi-3-Mini-4K (NIM) supports up to 4,000 tokens of context in a single request.
What is Phi-3-Mini-4K (NIM) best for?
Phi-3-Mini-4K (NIM) is well suited to Phi-3 mini quality, NIM packaging and On-device or NVIDIA-stack deployment.
Who makes Phi-3-Mini-4K (NIM)?
Phi-3-Mini-4K (NIM) is developed and served by Nvidia.