OpenAI compatible API · Attested · Public status

MoonshotAI: Kimi K2.7 Code vs nvidia/Nemotron-Content-Safety-3.5

MoonshotAI: Kimi K2.7 Code vs nvidia/Nemotron-Content-Safety-3.5: compare current API pricing, context, provider routes, privacy, p50 latency, and OpenAI-compatible access.

Verify gateway

Onebase URL to migrate

100sof models and routes

0prompt or output logs. Always.

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 K2.7 Code has more Credits provider routes and the larger context window. nvidia/Nemotron-Content-Safety-3.5 has the lower published input-plus-output rate. There is not enough recent probe data to compare speed.

$4.226541/1MMoonshotAI: Kimi K2.7 Code cheapest route

$0.422/1Mnvidia/Nemotron-Content-Safety-3.5 cheapest route

1028 msMoonshotAI: Kimi K2.7 Code fastest measured p50 TTFT via inceptron

not enough datanvidia/Nemotron-Content-Safety-3.5 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 K2.7 Codenvidia/Nemotron-Content-Safety-3.5

Model idmoonshotai/kimi-k2.7-codenvidia/nemotron-content-safety-3.5

Publisher Kimi DeepInfra

AI IQ IQ 111#62 —

Context262,144 tokens131,072 tokens

Credits provider routes131

Cheapest route$4.226541/1M$0.422/1M

Cached input$0.15825/1M to $0.464855/1MNot published

Privacy posturehas ZDR routeprovider posture varies

Fastest measured p50 TTFT1028 ms via inceptronnot enough data

Highest measured throughputnot enough datanot enough data

Recent route uptime range100.00%not enough data

Modes chat chat

MoonshotAI: Kimi K2.7 Code routes

Overview13 Credits routes
PricingInput, cached input, and output rates
BenchmarksTrustedRouter and external sources
ProvidersAll serving providers

nvidia/Nemotron-Content-Safety-3.5 routes

Overview1 Credits 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-k2.7-code",
    messages=messages,
)

Questions

Which should I use, MoonshotAI: Kimi K2.7 Code or nvidia/Nemotron-Content-Safety-3.5?

Is MoonshotAI: Kimi K2.7 Code or nvidia/Nemotron-Content-Safety-3.5 cheaper?

The current cheapest TrustedRouter route is $4.226541/1M for MoonshotAI: Kimi K2.7 Code and $0.422/1M for nvidia/Nemotron-Content-Safety-3.5. The comparison uses current catalog prices and updates as provider pricing changes.

Is MoonshotAI: Kimi K2.7 Code or nvidia/Nemotron-Content-Safety-3.5 faster?

Current measured p50 time to first token is 1028 ms for MoonshotAI: Kimi K2.7 Code and not enough data for nvidia/Nemotron-Content-Safety-3.5. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test MoonshotAI: Kimi K2.7 Code and nvidia/Nemotron-Content-Safety-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-k2.7-code and nvidia/nemotron-content-safety-3.5. This makes side-by-side evals possible without maintaining two provider integrations.