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MoonshotAI: Kimi K2.6 vs Nemotron Super 3.5

Try both on us. Starter credit covers your first requests, then one key routes Kimi K2.6 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 K2.6 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 and the larger context window.

$2.532/1MMoonshotAI: Kimi K2.6 cheapest route

$0.7385/1MNemotron Super 3.5 cheapest route

1017 msMoonshotAI: Kimi K2.6 fastest measured p50 TTFT via inceptron

1156 msNemotron Super 3.5 fastest measured p50 TTFT via baseten

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 K2.6Nemotron Super 3.5

Model idmoonshotai/kimi-k2.6nvidia/nemotron-3.5-super-vl-120b-a12b

Publisher Kimi NVIDIA

AI IQ IQ 114#59 —

Context262,144 tokens1,048,576 tokens

Credits provider routes172

Cheapest route$2.532/1M$0.7385/1M

Cached input$0.047475/1M to $0.422/1M$0.0422/1M

Privacy posturehas Confidential route (E2EE + ZDR)has ZDR route

Fastest measured p50 TTFT1017 ms via inceptron1156 ms via baseten

Highest measured throughput160 tok/s via azurenot enough data

Recent route uptime range100.00%100.00%

Modes chat chat

MoonshotAI: Kimi K2.6 routes

Overview17 Credits routes
PricingInput, cached input, and output rates
BenchmarksTrustedRouter and external sources
ProvidersAll serving providers

Nemotron Super 3.5 routes

Overview2 Credits routes
PricingInput, cached input, and output rates
ProvidersAll serving providers

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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-k2.6",
    messages=messages,
)

Questions

Which should I use, MoonshotAI: Kimi K2.6 or Nemotron Super 3.5?

MoonshotAI: Kimi K2.6 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 and the larger context window.

Is MoonshotAI: Kimi K2.6 or Nemotron Super 3.5 cheaper?

The current cheapest TrustedRouter route is $2.532/1M for MoonshotAI: Kimi K2.6 and $0.7385/1M for Nemotron Super 3.5. The comparison uses current catalog prices and updates as provider pricing changes.

Is MoonshotAI: Kimi K2.6 or Nemotron Super 3.5 faster?

Current measured p50 time to first token is 1017 ms for MoonshotAI: Kimi K2.6 and 1156 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 K2.6 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-k2.6 and nvidia/nemotron-3.5-super-vl-120b-a12b. This makes side-by-side evals possible without maintaining two provider integrations.