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NVIDIA: Nemotron 3 Ultra vs Qwen/Qwen3-235B-A22B-Instruct-2507

Try both on us. Starter credit covers your first requests, then one key routes Nemotron 3 Ultra and Qwen/Qwen3-235B-A22B-Instruct-2507. 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/Qwen3-235B-A22B-Instruct-2507 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

$0.6752/1MQwen/Qwen3-235B-A22B-Instruct-2507 cheapest route

not enough dataNVIDIA: Nemotron 3 Ultra fastest measured p50 TTFT

not enough dataQwen/Qwen3-235B-A22B-Instruct-2507 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/Qwen3-235B-A22B-Instruct-2507

Model idnvidia/nemotron-3-ultra-550b-a55bqwen/qwen3-235b-a22b-instruct-2507

PublisherNVIDIA Alibaba Cloud Model Studio

AI IQ — —

Context262,144 tokens262,144 tokens

Credits provider routes54

Cheapest route$2.79575/1M$0.6752/1M

Cached input$0.1055/1M to $0.1266/1MNot published

Privacy posturehas ZDR routeprovider posture varies

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

Overview5 Credits routes
PricingInput, cached input, and output rates
ProvidersAll serving providers

Qwen/Qwen3-235B-A22B-Instruct-2507 routes

Overview4 Credits routes
PricingInput, cached input, and output rates
ProvidersAll serving providers

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Qwen/Qwen3-235B-A22B-Instruct-2507 vs Z.ai: GLM 5.337 combined provider routes
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MoonshotAI: Kimi K3 vs Qwen/Qwen3-235B-A22B-Instruct-250732 combined provider 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="nvidia/nemotron-3-ultra-550b-a55b",
    messages=messages,
)

Questions

Which should I use, NVIDIA: Nemotron 3 Ultra or Qwen/Qwen3-235B-A22B-Instruct-2507?

Is NVIDIA: Nemotron 3 Ultra or Qwen/Qwen3-235B-A22B-Instruct-2507 cheaper?

The current cheapest TrustedRouter route is $2.79575/1M for NVIDIA: Nemotron 3 Ultra and $0.6752/1M for Qwen/Qwen3-235B-A22B-Instruct-2507. The comparison uses current catalog prices and updates as provider pricing changes.

Is NVIDIA: Nemotron 3 Ultra or Qwen/Qwen3-235B-A22B-Instruct-2507 faster?

Current measured p50 time to first token is not enough data for NVIDIA: Nemotron 3 Ultra and not enough data for Qwen/Qwen3-235B-A22B-Instruct-2507. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test NVIDIA: Nemotron 3 Ultra and Qwen/Qwen3-235B-A22B-Instruct-2507 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/qwen3-235b-a22b-instruct-2507. This makes side-by-side evals possible without maintaining two provider integrations.