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Inception: Mercury 2 vs MoonshotAI: Kimi K2.7 Code

Try both on us. Starter credit covers your first requests, then one key routes Mercury 2 and Kimi K2.7 Code. 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

Mercury 2 has the lower published input-plus-output rate and the lower measured p50 time to first token. MoonshotAI: Kimi K2.7 Code has more Credits provider routes and the larger context window.

$1.055/1MInception: Mercury 2 cheapest route

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

1070 msInception: Mercury 2 fastest measured p50 TTFT via inception

1678 msMoonshotAI: Kimi K2.7 Code fastest measured p50 TTFT via wandb

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.

Inception: Mercury 2MoonshotAI: Kimi K2.7 Code

Model idinception/mercury-2moonshotai/kimi-k2.7-code

Publisher Inception Labs Kimi

AI IQ IQ 93#156 IQ 111#77

Context128,000 tokens262,144 tokens

Credits provider routes114

Cheapest route$1.055/1M$4.173791/1M

Cached input$0.026375/1M$0.15825/1M to $0.546617/1M

Privacy postureprovider posture varieshas ZDR route

Fastest measured p50 TTFT1070 ms via inception1678 ms via wandb

Highest measured throughputnot enough data167 tok/s via lyceum

Recent route uptime range100.00%100.00%

Modes chat chat

Inception: Mercury 2 routes

Overview1 Credits routes

MoonshotAI: Kimi K2.7 Code routes

Overview14 Credits routes
PricingInput, cached input, and output rates
BenchmarksTrustedRouter and external sources
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="inception/mercury-2",
    messages=messages,
)

Questions

Which should I use, Inception: Mercury 2 or MoonshotAI: Kimi K2.7 Code?

Mercury 2 has the lower published input-plus-output rate and the lower measured p50 time to first token. MoonshotAI: Kimi K2.7 Code has more Credits provider routes and the larger context window.

Is Inception: Mercury 2 or MoonshotAI: Kimi K2.7 Code cheaper?

The current cheapest TrustedRouter route is $1.055/1M for Inception: Mercury 2 and $4.173791/1M for MoonshotAI: Kimi K2.7 Code. The comparison uses current catalog prices and updates as provider pricing changes.

Is Inception: Mercury 2 or MoonshotAI: Kimi K2.7 Code faster?

Current measured p50 time to first token is 1070 ms for Inception: Mercury 2 and 1678 ms for MoonshotAI: Kimi K2.7 Code. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test Inception: Mercury 2 and MoonshotAI: Kimi K2.7 Code with the same API?

Yes. Use the same OpenAI-compatible TrustedRouter base URL and API key, then change only the model id between inception/mercury-2 and moonshotai/kimi-k2.7-code. This makes side-by-side evals possible without maintaining two provider integrations.