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Inception: Mercury 2.5 vs MoonshotAI: Kimi K2.7 Code

Try both on us. Starter credit covers your first requests, then one key routes Mercury 2.5 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 2.5 has the lower published input-plus-output rate. MoonshotAI: Kimi K2.7 Code has more Credits provider routes, the larger context window and the lower measured p50 time to first token.

$1.00225/1MInception: Mercury 2.5 cheapest route

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

2159 msInception: Mercury 2.5 fastest measured p50 TTFT via inception

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

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 2.5MoonshotAI: Kimi K2.7 Code

Model idinception/mercury-2.5moonshotai/kimi-k2.7-code

Publisher Inception Labs Kimi

AI IQ IQ 100#126 IQ 111#77

Context260,000 tokens262,144 tokens

Credits provider routes115

Cheapest route$1.00225/1M$4.173791/1M

Cached input$0.0211/1M$0.15825/1M to $0.554842/1M

Privacy postureprovider posture varieshas ZDR route

Fastest measured p50 TTFT2159 ms via inception1452 ms via lyceum

Highest measured throughputnot enough data138 tok/s via lyceum

Recent route uptime range100.00%50.00% to 100.00%

Modes chat chat

Inception: Mercury 2.5 routes

Overview1 Credits routes

MoonshotAI: Kimi K2.7 Code routes

Overview15 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-2.5",
    messages=messages,
)

Questions

Which should I use, Inception: Mercury 2.5 or MoonshotAI: Kimi K2.7 Code?

Mercury 2.5 has the lower published input-plus-output rate. MoonshotAI: Kimi K2.7 Code has more Credits provider routes, the larger context window and the lower measured p50 time to first token.

Is Inception: Mercury 2.5 or MoonshotAI: Kimi K2.7 Code cheaper?

The current cheapest TrustedRouter route is $1.00225/1M for Inception: Mercury 2.5 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 2.5 or MoonshotAI: Kimi K2.7 Code faster?

Current measured p50 time to first token is 2159 ms for Inception: Mercury 2.5 and 1452 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 2.5 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-2.5 and moonshotai/kimi-k2.7-code. This makes side-by-side evals possible without maintaining two provider integrations.