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MoonshotAI: Kimi K2.7 Code vs nvidia/nemotron-3-nano-omni-30b-a3b-reasoning

Try both on us. Starter credit covers your first requests, then one key routes Kimi K2.7 Code and nvidia/nemotron-3-nano-omni-30b-a3b-reasoning. 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 K2.7 Code has the lower published input-plus-output rate and more Credits provider routes. There is not enough recent probe data to compare speed.

$4.173791/1MMoonshotAI: Kimi K2.7 Code cheapest route

$12.66/1Mnvidia/nemotron-3-nano-omni-30b-a3b-reasoning cheapest route

1452 msMoonshotAI: Kimi K2.7 Code fastest measured p50 TTFT via lyceum

not enough datanvidia/nemotron-3-nano-omni-30b-a3b-reasoning 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-3-nano-omni-30b-a3b-reasoning

Model idmoonshotai/kimi-k2.7-codenvidia/nemotron-3-nano-omni-30b-a3b-reasoning

Publisher Kimi NVIDIA

AI IQ IQ 111#77 —

Context262,144 tokens0 tokens

Credits provider routes151

Cheapest route$4.173791/1M$12.66/1M

Cached input$0.15825/1M to $0.554842/1MNot published

Privacy posturehas ZDR routeprovider posture varies

Fastest measured p50 TTFT1452 ms via lyceumnot enough data

Highest measured throughput138 tok/s via lyceumnot enough data

Recent route uptime range50.00% to 100.00%100.00%

Modes chat chat

MoonshotAI: Kimi K2.7 Code routes

Overview15 Credits routes
PricingInput, cached input, and output rates
BenchmarksTrustedRouter and external sources
ProvidersAll serving providers

nvidia/nemotron-3-nano-omni-30b-a3b-reasoning 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-3-nano-omni-30b-a3b-reasoning?

MoonshotAI: Kimi K2.7 Code has the lower published input-plus-output rate and more Credits provider routes. There is not enough recent probe data to compare speed.

Is MoonshotAI: Kimi K2.7 Code or nvidia/nemotron-3-nano-omni-30b-a3b-reasoning cheaper?

The current cheapest TrustedRouter route is $4.173791/1M for MoonshotAI: Kimi K2.7 Code and $12.66/1M for nvidia/nemotron-3-nano-omni-30b-a3b-reasoning. The comparison uses current catalog prices and updates as provider pricing changes.

Is MoonshotAI: Kimi K2.7 Code or nvidia/nemotron-3-nano-omni-30b-a3b-reasoning faster?

Current measured p50 time to first token is 1452 ms for MoonshotAI: Kimi K2.7 Code and not enough data for nvidia/nemotron-3-nano-omni-30b-a3b-reasoning. 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-3-nano-omni-30b-a3b-reasoning 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-3-nano-omni-30b-a3b-reasoning. This makes side-by-side evals possible without maintaining two provider integrations.