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MoonshotAI: Kimi K2.6 vs NVIDIA: Nemotron 3.5 Super VL

Try both on us. Starter credit covers your first requests, then one key routes Kimi K2.6 and Nemotron 3.5 Super VL. 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. NVIDIA: Nemotron 3.5 Super VL has the lower published input-plus-output rate. Their context windows are the same size.

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

$0.5275/1MNVIDIA: Nemotron 3.5 Super VL cheapest route

1059 msMoonshotAI: Kimi K2.6 fastest measured p50 TTFT via siliconflow

1199 msNVIDIA: Nemotron 3.5 Super VL fastest measured p50 TTFT via crusoe

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 K2.6NVIDIA: Nemotron 3.5 Super VL

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

Publisher Kimi NVIDIA

AI IQ IQ 114#62 IQ 105#100

Context262,144 tokens262,144 tokens

Credits provider routes172

Cheapest route$2.532/1M$0.5275/1M

Cached input$0.047475/1M to $0.422/1M$0.0844/1M

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

Fastest measured p50 TTFT1059 ms via siliconflow1199 ms via crusoe

Highest measured throughputnot enough datanot 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

NVIDIA: Nemotron 3.5 Super VL 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 NVIDIA: Nemotron 3.5 Super VL?

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

The current cheapest TrustedRouter route is $2.532/1M for MoonshotAI: Kimi K2.6 and $0.5275/1M for NVIDIA: Nemotron 3.5 Super VL. The comparison uses current catalog prices and updates as provider pricing changes.

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

Current measured p50 time to first token is 1059 ms for MoonshotAI: Kimi K2.6 and 1199 ms for NVIDIA: Nemotron 3.5 Super VL. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test MoonshotAI: Kimi K2.6 and NVIDIA: Nemotron 3.5 Super VL 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. This makes side-by-side evals possible without maintaining two provider integrations.