OpenAI compatible API · Attested · Public status
Meta: Llama 4 Maverick vs NVIDIA: Nemotron 3 Super
Compare Meta: Llama 4 Maverick and NVIDIA: Nemotron 3 Super by providers, context, price, and TrustedRouter route support.
Onebase URL to migrate
100sof models and routes
0prompt or output logs. Always.
Compare routesProviders, price, context, and policy posture in one view.
Use auto when uptime mattersKeep a primary model and let fallback handle provider failures.
Same API shapeUse the OpenAI client and set the model you want.
Practical read
Meta: Llama 4 Maverick has the lower cheapest prompt+completion route on TrustedRouter. Meta: Llama 4 Maverick has more provider fallback routes, while Meta: Llama 4 Maverick has the larger context window. Probe-backed speed data is shown when enough recent samples exist.
$1.176/1MMeta: Llama 4 Maverick cheapest route
$1.26/1MNVIDIA: Nemotron 3 Super cheapest route
1539 msMeta: Llama 4 Maverick measured p50 TTFT
not enough dataNVIDIA: Nemotron 3 Super measured p50 TTFT
Meta: Llama 4 MaverickNVIDIA: Nemotron 3 Super
Model id
meta-llama/llama-4-mavericknvidia/nemotron-3-super-120b-a12b
Context1,048,576 tokens1,000,000 tokens
Provider routes44
Cheapest route$1.176/1M$1.26/1M
Privacy posturehas ZDR routehas ZDR route
Modes
chat
chat
Meta: Llama 4 Maverick routes
Production choice
Pick a default model. Keep fallback enabled.
TrustedRouter is useful when you know the model you want, but still need provider rollover, budget limits, usage records, and a prompt path you can verify.
OpenAI clientPython
client = OpenAI(
base_url="https://api-azure.trustedrouter.com/v1",
api_key="sk-tr-v1-..."
)
response = client.chat.completions.create(
model="meta-llama/llama-4-maverick",
messages=messages,
)