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MoonshotAI: Kimi K3 vs Nemotron Super 3.5

Try both on us. Starter credit covers your first requests, then one key routes Kimi K3 and Nemotron Super 3.5. 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

MoonshotAI: Kimi K3 has more Credits provider routes and the lower measured p50 time to first token. Nemotron Super 3.5 has the lower published input-plus-output rate. Their context windows are the same size.

$11.97425/1MMoonshotAI: Kimi K3 cheapest route
$0.7385/1MNemotron Super 3.5 cheapest route
980 msMoonshotAI: Kimi K3 fastest measured p50 TTFT via lyceum
1032 msNemotron Super 3.5 fastest measured p50 TTFT via nvidia-nim

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.

MoonshotAI: Kimi K3Nemotron Super 3.5
Model idmoonshotai/kimi-k3nvidia/nemotron-3.5-super-vl-120b-a12b
Publisher Kimi NVIDIA
AI IQ IQ 127#21 —
Context1,048,576 tokens1,048,576 tokens
Credits provider routes282
Cheapest route$11.97425/1M$0.7385/1M
Cached input$0.195175/1M to $1.897945/1M$0.0422/1M
Privacy posturehas Confidential route (E2EE + ZDR)has ZDR route
Fastest measured p50 TTFT980 ms via lyceum1032 ms via nvidia-nim
Highest measured throughput172 tok/s via sail-researchnot enough data
Recent route uptime range0.00% to 100.00%100.00%
Modes chat chat

MoonshotAI: Kimi K3 routes

Nemotron Super 3.5 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.trustedrouter.com/v1",
    api_key="sk-tr-v1-..."
)

response = client.chat.completions.create(
    model="moonshotai/kimi-k3",
    messages=messages,
)

Questions

Which should I use, MoonshotAI: Kimi K3 or Nemotron Super 3.5?

MoonshotAI: Kimi K3 has more Credits provider routes and the lower measured p50 time to first token. Nemotron Super 3.5 has the lower published input-plus-output rate. Their context windows are the same size.

Is MoonshotAI: Kimi K3 or Nemotron Super 3.5 cheaper?

The current cheapest TrustedRouter route is $11.97425/1M for MoonshotAI: Kimi K3 and $0.7385/1M for Nemotron Super 3.5. The comparison uses current catalog prices and updates as provider pricing changes.

Is MoonshotAI: Kimi K3 or Nemotron Super 3.5 faster?

Current measured p50 time to first token is 980 ms for MoonshotAI: Kimi K3 and 1032 ms for Nemotron Super 3.5. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test MoonshotAI: Kimi K3 and Nemotron Super 3.5 with the same API?

Yes. Use the same OpenAI-compatible TrustedRouter base URL and API key, then change only the model id between moonshotai/kimi-k3 and nvidia/nemotron-3.5-super-vl-120b-a12b. This makes side-by-side evals possible without maintaining two provider integrations.

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