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NVIDIA: Nemotron 3 Ultra vs Qwen: Qwen3 Next 80B A3B Instruct

Try both on us. Starter credit covers your first requests, then one key routes Nemotron 3 Ultra and Qwen3 Next 80B A3B Instruct. Switch by changing the model name.

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

Monthly evidence

NVIDIA: Nemotron 3 Ultra has more Credits provider routes. Qwen: Qwen3 Next 80B A3B Instruct has the lower published input-plus-output rate. Their context windows are the same size. There is not enough recent probe data to compare speed.

$2.79575/1MNVIDIA: Nemotron 3 Ultra cheapest route
$1.25545/1MQwen: Qwen3 Next 80B A3B Instruct cheapest route
not enough dataNVIDIA: Nemotron 3 Ultra fastest measured p50 TTFT
not enough dataQwen: Qwen3 Next 80B A3B Instruct fastest measured p50 TTFT

The price comparison adds each route's rate for one million input tokens and one million output tokens; your cost depends on your input/output mix. Prices and live route measurements can change. Use the monthly reports when you need a stable evidence window, then run a small task-specific eval before choosing a production default.

NVIDIA: Nemotron 3 UltraQwen: Qwen3 Next 80B A3B Instruct
Model idnvidia/nemotron-3-ultra-550b-a55bqwen/qwen3-next-80b-a3b-instruct
AI IQ — —
Context262,144 tokens262,144 tokens
Credits provider routes54
Cheapest route$2.79575/1M$1.25545/1M
Cached input$0.1055/1M to $0.1266/1M$0.062641/1M to $0.07385/1M
Privacy posturehas ZDR routehas ZDR route
Fastest measured p50 TTFTnot enough datanot enough data
Highest measured throughputnot enough datanot enough data
Recent route uptime rangenot enough datanot enough data
Modes chat chat

NVIDIA: Nemotron 3 Ultra routes

Qwen: Qwen3 Next 80B A3B Instruct routes

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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="nvidia/nemotron-3-ultra-550b-a55b",
    messages=messages,
)

Questions

Which should I use, NVIDIA: Nemotron 3 Ultra or Qwen: Qwen3 Next 80B A3B Instruct?

NVIDIA: Nemotron 3 Ultra has more Credits provider routes. Qwen: Qwen3 Next 80B A3B Instruct has the lower published input-plus-output rate. Their context windows are the same size. There is not enough recent probe data to compare speed.

Is NVIDIA: Nemotron 3 Ultra or Qwen: Qwen3 Next 80B A3B Instruct cheaper?

The current cheapest TrustedRouter route is $2.79575/1M for NVIDIA: Nemotron 3 Ultra and $1.25545/1M for Qwen: Qwen3 Next 80B A3B Instruct. The comparison uses current catalog prices and updates as provider pricing changes.

Is NVIDIA: Nemotron 3 Ultra or Qwen: Qwen3 Next 80B A3B Instruct faster?

Current measured p50 time to first token is not enough data for NVIDIA: Nemotron 3 Ultra and not enough data for Qwen: Qwen3 Next 80B A3B Instruct. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test NVIDIA: Nemotron 3 Ultra and Qwen: Qwen3 Next 80B A3B Instruct with the same API?

Yes. Use the same OpenAI-compatible TrustedRouter base URL and API key, then change only the model id between nvidia/nemotron-3-ultra-550b-a55b and qwen/qwen3-next-80b-a3b-instruct. This makes side-by-side evals possible without maintaining two provider integrations.

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