OpenAI compatible API. Attested gateway. Public status.
Qwen: Qwen3.5 397B A17B vs NVIDIA: Nemotron 3 Super
Compare Qwen: Qwen3.5 397B A17B and NVIDIA: Nemotron 3 Super by providers, context, price, and TrustedRouter route support.
1 URLbase_url migration
100smodels and routes
0prompt logs by default
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
NVIDIA: Nemotron 3 Super has the lower cheapest prompt+completion route on TrustedRouter. Qwen: Qwen3.5 397B A17B has more provider fallback routes, while NVIDIA: Nemotron 3 Super has the larger context window. Current TrustedRouter probes show NVIDIA: Nemotron 3 Super with the lower p50 TTFT.
$3.795/1MQwen: Qwen3.5 397B A17B cheapest route
$1.32/1MNVIDIA: Nemotron 3 Super cheapest route
3885 msQwen: Qwen3.5 397B A17B measured p50 TTFT
3824 msNVIDIA: Nemotron 3 Super measured p50 TTFT
Qwen: Qwen3.5 397B A17BNVIDIA: Nemotron 3 Super
Model id
qwen/qwen3.5-397b-a17bnvidia/nemotron-3-super-120b-a12b
PublisherDeepInfraNebius Token Factory
AI IQ
—
—
Context262,144 tokens1,000,000 tokens
Provider routes144
Cheapest route$3.795/1M$1.32/1M
Privacy posturehas provider E2EE routehas ZDR route
Modes
chat
chat
Qwen: Qwen3.5 397B A17B routes
- Overview14 endpoints
- PricingPrompt and completion rates
- BenchmarksTrustedRouter and external sources
- ProvidersAll serving providers
NVIDIA: Nemotron 3 Super routes
- Overview4 endpoints
- PricingPrompt and completion rates
- BenchmarksTrustedRouter and external sources
- ProvidersAll serving providers
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.trustedrouter.com/v1",
api_key="sk-tr-v1-..."
)
response = client.chat.completions.create(
model="qwen/qwen3.5-397b-a17b",
messages=messages,
)