OpenAI compatible API · Attested · Public status

NVIDIA: Nemotron 3 Super vs Qwen: Qwen3.5-122B-A10B

Compare NVIDIA: Nemotron 3 Super and Qwen: Qwen3.5-122B-A10B across token pricing, context windows, provider availability, privacy options, route diversity, and measured performance.

Verify gateway

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

NVIDIA: Nemotron 3 Super has the lower cheapest prompt+completion route on TrustedRouter. Qwen: Qwen3.5-122B-A10B 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.

$1.26/1MNVIDIA: Nemotron 3 Super cheapest route

$2.457/1MQwen: Qwen3.5-122B-A10B cheapest route

1128 msNVIDIA: Nemotron 3 Super measured p50 TTFT

1965 msQwen: Qwen3.5-122B-A10B measured p50 TTFT

NVIDIA: Nemotron 3 SuperQwen: Qwen3.5-122B-A10B

Model idnvidia/nemotron-3-super-120b-a12bqwen/qwen3.5-122b-a10b

Publisher Nebius Token Factory DeepInfra

AI IQ — —

Context1,000,000 tokens262,144 tokens

Provider routes49

Cheapest route$1.26/1M$2.457/1M

Privacy posturehas ZDR routeprovider posture varies

Modes chat chat

NVIDIA: Nemotron 3 Super routes

Overview4 endpoints
PricingPrompt and completion rates
ProvidersAll serving providers

Qwen: Qwen3.5-122B-A10B routes

Overview9 endpoints
PricingPrompt and completion rates
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="nvidia/nemotron-3-super-120b-a12b",
    messages=messages,
)