Free to start

NVIDIA: Nemotron 3 Super vs Qwen3.8 Max

Try both on us. Starter credit covers your first requests, then one key routes Nemotron 3 Super and Qwen3.8 Max. 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 Super has the lower published input-plus-output rate and more Credits provider routes. Qwen3.8 Max has the larger context window. There is not enough recent probe data to compare speed.

$0.511675/1MNVIDIA: Nemotron 3 Super cheapest route

$6.964055/1MQwen3.8 Max cheapest route

not enough dataNVIDIA: Nemotron 3 Super fastest measured p50 TTFT

2745 msQwen3.8 Max fastest measured p50 TTFT via fireworks

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 SuperQwen3.8 Max

Model idnvidia/nemotron-3-super-120b-a12bqwen/qwen3.8-max

PublisherNVIDIA Alibaba Cloud Model Studio

AI IQ — IQ 123#33

Context262,144 tokens1,000,000 tokens

Credits provider routes54

Cheapest route$0.511675/1M$6.964055/1M

Cached input$0.15825/1M$0.21733/1M to $0.26375/1M

Privacy posturehas ZDR routeprovider posture varies

Fastest measured p50 TTFTnot enough data2745 ms via fireworks

Highest measured throughputnot enough datanot enough data

Recent route uptime range100.00%100.00%

Modes chat chat

NVIDIA: Nemotron 3 Super routes

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

Qwen3.8 Max routes

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

Related comparisons

Browse every comparison

NVIDIA: Nemotron 3 Super vs Z.ai: GLM 5.338 combined provider routes
NVIDIA: Nemotron 3 Super vs Z.ai: GLM 5.237 combined provider routes
NVIDIA: Nemotron 3 Super vs Z.ai: GLM 5.3 Flash37 combined provider routes
Qwen3.8 Max vs Z.ai: GLM 5.337 combined provider routes
Qwen3.8 Max vs Z.ai: GLM 5.236 combined provider routes
Qwen3.8 Max vs Z.ai: GLM 5.3 Flash36 combined provider routes
MoonshotAI: Kimi K3 vs NVIDIA: Nemotron 3 Super33 combined provider routes
MoonshotAI: Kimi K3 vs Qwen3.8 Max32 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.trustedrouter.com/v1",
    api_key="sk-tr-v1-..."
)

response = client.chat.completions.create(
    model="nvidia/nemotron-3-super-120b-a12b",
    messages=messages,
)

Questions

Which should I use, NVIDIA: Nemotron 3 Super or Qwen3.8 Max?

Is NVIDIA: Nemotron 3 Super or Qwen3.8 Max cheaper?

The current cheapest TrustedRouter route is $0.511675/1M for NVIDIA: Nemotron 3 Super and $6.964055/1M for Qwen3.8 Max. The comparison uses current catalog prices and updates as provider pricing changes.

Is NVIDIA: Nemotron 3 Super or Qwen3.8 Max faster?

Current measured p50 time to first token is not enough data for NVIDIA: Nemotron 3 Super and 2745 ms for Qwen3.8 Max. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test NVIDIA: Nemotron 3 Super and Qwen3.8 Max 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-super-120b-a12b and qwen/qwen3.8-max. This makes side-by-side evals possible without maintaining two provider integrations.