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MoonshotAI: Kimi K3 vs nvidia/Nemotron-3.5-Lightning-30B-A3B

Try both on us. Starter credit covers your first requests, then one key routes Kimi K3 and nvidia/Nemotron-3.5-Lightning-30B-A3B. 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 larger context window. nvidia/Nemotron-3.5-Lightning-30B-A3B has the lower published input-plus-output rate. There is not enough recent probe data to compare speed.

$11.97425/1MMoonshotAI: Kimi K3 cheapest route
$0.26375/1Mnvidia/Nemotron-3.5-Lightning-30B-A3B cheapest route
not enough dataMoonshotAI: Kimi K3 fastest measured p50 TTFT
not enough datanvidia/Nemotron-3.5-Lightning-30B-A3B 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.

MoonshotAI: Kimi K3nvidia/Nemotron-3.5-Lightning-30B-A3B
Model idmoonshotai/kimi-k3nvidia/nemotron-3.5-lightning-30b-a3b
Publisher Kimi NVIDIA
AI IQ IQ 127#21 —
Context1,048,576 tokens262,144 tokens
Credits provider routes283
Cheapest route$11.97425/1M$0.26375/1M
Cached input$0.195175/1M to $1.897945/1M$0.03165/1M to $0.0422/1M
Privacy posturehas Confidential route (E2EE + ZDR)provider 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

MoonshotAI: Kimi K3 routes

nvidia/Nemotron-3.5-Lightning-30B-A3B 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="moonshotai/kimi-k3",
    messages=messages,
)

Questions

Which should I use, MoonshotAI: Kimi K3 or nvidia/Nemotron-3.5-Lightning-30B-A3B?

MoonshotAI: Kimi K3 has more Credits provider routes and the larger context window. nvidia/Nemotron-3.5-Lightning-30B-A3B has the lower published input-plus-output rate. There is not enough recent probe data to compare speed.

Is MoonshotAI: Kimi K3 or nvidia/Nemotron-3.5-Lightning-30B-A3B cheaper?

The current cheapest TrustedRouter route is $11.97425/1M for MoonshotAI: Kimi K3 and $0.26375/1M for nvidia/Nemotron-3.5-Lightning-30B-A3B. The comparison uses current catalog prices and updates as provider pricing changes.

Is MoonshotAI: Kimi K3 or nvidia/Nemotron-3.5-Lightning-30B-A3B faster?

Current measured p50 time to first token is not enough data for MoonshotAI: Kimi K3 and not enough data for nvidia/Nemotron-3.5-Lightning-30B-A3B. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test MoonshotAI: Kimi K3 and nvidia/Nemotron-3.5-Lightning-30B-A3B 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-lightning-30b-a3b. This makes side-by-side evals possible without maintaining two provider integrations.

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