OpenAI compatible API · Attested · Public status

NVIDIA NIM

Explore NVIDIA NIM models on TrustedRouter with current routes, token pricing, policy sources, privacy posture, regional availability, and API support.

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NVIDIA NIMnvidia-nim

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All providers

ProviderNVIDIA NIM
Routing statusActive
Provider websitehttps://build.nvidia.com/
Models15 public models
Credits routes15
BYOK routes0
Zero data retentionno
Confidential computeno
Provider E2EEno
Policy noteNVIDIA's hosted NIM API Catalog endpoints are preview services for development and prototyping. TrustedRouter exposes chat-capable models from its configured API Catalog key as Standard routes. NVIDIA requires an NVIDIA AI Enterprise entitlement for production deployments. NVIDIA does not publish hosted preview token rates, so TrustedRouter uses a conservative fallback price and excludes these routes from price indexing.
Policy source

Measured performance

5 samples

Continuously sampled across NVIDIA NIM's routed models: p50 TTFT, effective throughput, and success rate. Effective throughput uses provider-reported output tokens over complete request time. Unsupported route and probe-configuration rows are separated from provider downtime. No prompt or output content stored.

p50 TTFT2052 ms
Effective throughput10 tok/s n=1
Uptime60.00%
Modelp50 TTFTEffective throughputUptimeConfig excludedAvailability samples
openai/gpt-oss-120b 982 ms 100.00% 1
nvidia/nemotron-3-ultra-550b-a55b 2052 ms 100.00% 1
nvidia/nemotron-3-nano-omni-30b-a3b-reasoning 2428 ms 50.00% 2
deepseek/deepseek-v4-flash-0731 0.00% 1
minimax/minimax-m3 10 tok/s n=1 0

NVIDIA NIM performance history · Full provider & model leaderboard.

Provider models

Models served by NVIDIA NIM.

Each row links to pricing, provider, benchmark, and API pages for the model.

Model AI IQ Context Endpoints Prompt Completion Routes
deepseek/deepseek-v4-flash-0731
DeepSeek: DeepSeek V4 Flash 0731
1,310,720 1 $2.11/1M $10.55/1M prepaid
google/gemma-4-31b-it
Google: Gemma 4 31B
IQ 101#80 262,144 1 $2.11/1M $10.55/1M prepaid
meta-llama/llama-3.2-11b-vision-instruct
@cf/meta/llama-3.2-11b-vision-instruct
128,000 1 $2.11/1M $10.55/1M prepaid
meta-llama/llama-3.2-90b-vision-instruct
meta/llama-3.2-90b-vision-instruct
0 1 $2.11/1M $10.55/1M prepaid
minimax/minimax-m3
MiniMax: MiniMax M3
IQ 114#42 1,048,576 1 $2.11/1M $10.55/1M prepaid
mistralai/mistral-nemotron
mistralai/mistral-nemotron
0 1 $2.11/1M $10.55/1M prepaid
moonshotai/kimi-k3
MoonshotAI: Kimi K3
IQ 123#17 1,048,576 1 $2.11/1M $10.55/1M prepaid
nvidia/nemotron-3-nano-30b-a3b
NVIDIA: Nemotron 3 Nano 30B A3B
262,144 1 $2.11/1M $10.55/1M prepaid
nvidia/nemotron-3-nano-omni-30b-a3b-reasoning
nvidia/nemotron-3-nano-omni-30b-a3b-reasoning
0 1 $2.11/1M $10.55/1M prepaid
nvidia/nemotron-3-super-120b-a12b
NVIDIA: Nemotron 3 Super
1,000,000 1 $2.11/1M $10.55/1M prepaid
nvidia/nemotron-3-ultra-550b-a55b
NVIDIA: Nemotron 3 Ultra
262,144 1 $2.11/1M $10.55/1M prepaid
nvidia/nemotron-3.5-lightning-30b-a3b
nvidia/Nemotron-3.5-Lightning-30B-A3B
262,144 1 $2.11/1M $10.55/1M prepaid
openai/gpt-oss-120b
OpenAI: gpt-oss-120b
IQ 105#67 131,072 1 $2.11/1M $10.55/1M prepaid
openai/gpt-oss-20b
OpenAI: gpt-oss-20b
IQ 100#84 131,072 1 $2.11/1M $10.55/1M prepaid
poolside/laguna-xs-2.1
poolside/laguna-xs-2.1
0 1 $2.11/1M $10.55/1M prepaid

Questions

Does NVIDIA NIM have zero data retention?

TrustedRouter does not currently mark NVIDIA NIM as provider-level zero data retention. Use trustedrouter/zdr or provider.min_privacy=zdr to select a different eligible route, and review the linked policy source for changes.

Is NVIDIA NIM end-to-end encrypted?

TrustedRouter does not currently mark NVIDIA NIM as end-to-end encrypted at the provider boundary. The TrustedRouter gateway is still attested, but the selected provider normally receives the request in order to run the model. Use trustedrouter/e2e for the stronger route requirement.

Which NVIDIA NIM models are available through TrustedRouter?

This page currently lists 15 public NVIDIA NIM models, with live pricing, route count, context length, measured performance when available, and links to each model's provider and benchmark pages.

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