OpenAI compatible API · Attested · Public status

Macaron V1 Venti vs MoonshotAI: Kimi K2.6

Macaron V1 Venti vs MoonshotAI: Kimi K2.6: 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

Macaron V1 Venti has the lower published input-plus-output rate and the larger context window. MoonshotAI: Kimi K2.6 has more Credits provider routes. There is not enough recent probe data to compare speed.

$3.4815/1MMacaron V1 Venti cheapest route
$3.53425/1MMoonshotAI: Kimi K2.6 cheapest route
not enough dataMacaron V1 Venti fastest measured p50 TTFT
735 msMoonshotAI: Kimi K2.6 fastest measured p50 TTFT via digitalocean

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.

Macaron V1 VentiMoonshotAI: Kimi K2.6
Model idmindai/macaron-v1-ventimoonshotai/kimi-k2.6
AI IQ — IQ 115#48
Context1,048,576 tokens262,144 tokens
Credits provider routes118
Cheapest route$3.4815/1M$3.53425/1M
Cached input$0.174075/1M$0.05275/1M to $0.441676/1M
Privacy postureprovider posture varieshas provider E2EE route
Fastest measured p50 TTFTnot enough data735 ms via digitalocean
Highest measured throughputnot enough data154 tok/s via wandb
Recent route uptime rangenot enough data100.00%
Modes chat chat

Macaron V1 Venti routes

MoonshotAI: Kimi K2.6 routes

Related comparisons

Browse every comparison
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="mindai/macaron-v1-venti",
    messages=messages,
)

Questions

Which should I use, Macaron V1 Venti or MoonshotAI: Kimi K2.6?

Macaron V1 Venti has the lower published input-plus-output rate and the larger context window. MoonshotAI: Kimi K2.6 has more Credits provider routes. There is not enough recent probe data to compare speed.

Is Macaron V1 Venti or MoonshotAI: Kimi K2.6 cheaper?

The current cheapest TrustedRouter route is $3.4815/1M for Macaron V1 Venti and $3.53425/1M for MoonshotAI: Kimi K2.6. The comparison uses current catalog prices and updates as provider pricing changes.

Is Macaron V1 Venti or MoonshotAI: Kimi K2.6 faster?

Current measured p50 time to first token is not enough data for Macaron V1 Venti and 735 ms for MoonshotAI: Kimi K2.6. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test Macaron V1 Venti and MoonshotAI: Kimi K2.6 with the same API?

Yes. Use the same OpenAI-compatible TrustedRouter base URL and API key, then change only the model id between mindai/macaron-v1-venti and moonshotai/kimi-k2.6. This makes side-by-side evals possible without maintaining two provider integrations.

Workspace access

Sign in

Choose a sign in method to access your TrustedRouter workspace.

By signing in you agree to the terms of service and privacy policy.