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MiniMax: MiniMax M2.7 vs MoonshotAI: Kimi K3

Try both on us. Starter credit covers your first requests, then one key routes MiniMax M2.7 and Kimi K3. 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

MiniMax: MiniMax M2.7 has the lower published input-plus-output rate. MoonshotAI: Kimi K3 has more Credits provider routes, the larger context window and the lower measured p50 time to first token.

$1.48755/1MMiniMax: MiniMax M2.7 cheapest route

$11.97425/1MMoonshotAI: Kimi K3 cheapest route

2273 msMiniMax: MiniMax M2.7 fastest measured p50 TTFT via featherless

980 msMoonshotAI: Kimi K3 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.

MiniMax: MiniMax M2.7MoonshotAI: Kimi K3

Model idminimax/minimax-m2.7moonshotai/kimi-k3

Publisher MiniMax Kimi

AI IQ IQ 105#95 IQ 127#21

Context196,608 tokens1,048,576 tokens

Credits provider routes428

Cheapest route$1.48755/1M$11.97425/1M

Cached input$0.03165/1M to $0.0633/1M$0.195175/1M to $1.897945/1M

Privacy posturehas ZDR routehas Confidential route (E2EE + ZDR)

Fastest measured p50 TTFT2273 ms via featherless980 ms via lyceum

Highest measured throughputnot enough data172 tok/s via sail-research

Recent route uptime range100.00%0.00% to 100.00%

Modes chat chat

MiniMax: MiniMax M2.7 routes

Overview4 Credits routes
PricingInput, cached input, and output rates
ProvidersAll serving providers

MoonshotAI: Kimi K3 routes

Overview28 Credits routes
PricingInput, cached input, and output rates
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="minimax/minimax-m2.7",
    messages=messages,
)

Questions

Which should I use, MiniMax: MiniMax M2.7 or MoonshotAI: Kimi K3?

MiniMax: MiniMax M2.7 has the lower published input-plus-output rate. MoonshotAI: Kimi K3 has more Credits provider routes, the larger context window and the lower measured p50 time to first token.

Is MiniMax: MiniMax M2.7 or MoonshotAI: Kimi K3 cheaper?

The current cheapest TrustedRouter route is $1.48755/1M for MiniMax: MiniMax M2.7 and $11.97425/1M for MoonshotAI: Kimi K3. The comparison uses current catalog prices and updates as provider pricing changes.

Is MiniMax: MiniMax M2.7 or MoonshotAI: Kimi K3 faster?

Current measured p50 time to first token is 2273 ms for MiniMax: MiniMax M2.7 and 980 ms for MoonshotAI: Kimi K3. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test MiniMax: MiniMax M2.7 and MoonshotAI: Kimi K3 with the same API?

Yes. Use the same OpenAI-compatible TrustedRouter base URL and API key, then change only the model id between minimax/minimax-m2.7 and moonshotai/kimi-k3. This makes side-by-side evals possible without maintaining two provider integrations.