OpenAI compatible API · Attested · Public status

MoonshotAI: Kimi K2.6 vs NVIDIA-Nemotron-3-Nano-30B-A3B-BF16

MoonshotAI: Kimi K2.6 vs NVIDIA-Nemotron-3-Nano-30B-A3B-BF16: 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 K2.6 has more Credits provider routes, the larger context window and the lower measured p50 time to first token. NVIDIA-Nemotron-3-Nano-30B-A3B-BF16 has the lower published input-plus-output rate.

$2.962652/1MMoonshotAI: Kimi K2.6 cheapest route
$0.26375/1MNVIDIA-Nemotron-3-Nano-30B-A3B-BF16 cheapest route
946 msMoonshotAI: Kimi K2.6 fastest measured p50 TTFT via fireworks
1976 msNVIDIA-Nemotron-3-Nano-30B-A3B-BF16 fastest measured p50 TTFT via nscale

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-Nano-30B-A3B-BF16
Model idmoonshotai/kimi-k2.6nvidia/nemotron-3-nano-30b-a3b-bf16
AI IQ IQ 117#36
Context262,144 tokens256,000 tokens
Credits provider routes191
Cheapest route$2.962652/1M$0.26375/1M
Cached input$0.05275/1M to $0.448375/1MNot published
Privacy posturehas provider E2EE routeprovider posture varies
Fastest measured p50 TTFT946 ms via fireworks1976 ms via nscale
Highest measured throughput42 tok/s via sail-researchnot enough data
Recent route uptime range0.00% to 100.00%100.00%
Modes chat chat

MoonshotAI: Kimi K2.6 routes

NVIDIA-Nemotron-3-Nano-30B-A3B-BF16 routes

Related comparisons

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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-Nano-30B-A3B-BF16?

MoonshotAI: Kimi K2.6 has more Credits provider routes, the larger context window and the lower measured p50 time to first token. NVIDIA-Nemotron-3-Nano-30B-A3B-BF16 has the lower published input-plus-output rate.

Is MoonshotAI: Kimi K2.6 or NVIDIA-Nemotron-3-Nano-30B-A3B-BF16 cheaper?

The current cheapest TrustedRouter route is $2.962652/1M for MoonshotAI: Kimi K2.6 and $0.26375/1M for NVIDIA-Nemotron-3-Nano-30B-A3B-BF16. The comparison uses current catalog prices and updates as provider pricing changes.

Is MoonshotAI: Kimi K2.6 or NVIDIA-Nemotron-3-Nano-30B-A3B-BF16 faster?

Current measured p50 time to first token is 946 ms for MoonshotAI: Kimi K2.6 and 1976 ms for NVIDIA-Nemotron-3-Nano-30B-A3B-BF16. 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-Nano-30B-A3B-BF16 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-nano-30b-a3b-bf16. This makes side-by-side evals possible without maintaining two provider integrations.

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