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MiniMax M1 vs MoonshotAI: Kimi K2.6

Try both on us. Starter credit covers your first requests, then one key routes MiniMax M1 and Kimi K2.6. 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 M1 has the larger context window. MoonshotAI: Kimi K2.6 has the lower published input-plus-output rate and more Credits provider routes. There is not enough recent probe data to compare speed.

$2.90125/1MMiniMax M1 cheapest route

$2.532/1MMoonshotAI: Kimi K2.6 cheapest route

not enough dataMiniMax M1 fastest measured p50 TTFT

1017 msMoonshotAI: Kimi K2.6 fastest measured p50 TTFT via inceptron

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 M1MoonshotAI: Kimi K2.6

Model idminimaxai/minimax-m1-80kmoonshotai/kimi-k2.6

Publisher MiniMax Kimi

AI IQ — IQ 114#59

Context1,000,000 tokens262,144 tokens

Credits provider routes117

Cheapest route$2.90125/1M$2.532/1M

Cached inputNot published$0.047475/1M to $0.422/1M

Privacy postureprovider posture varieshas Confidential route (E2EE + ZDR)

Fastest measured p50 TTFTnot enough data1017 ms via inceptron

Highest measured throughputnot enough data160 tok/s via azure

Recent route uptime rangenot enough data100.00%

Modes chat chat

MiniMax M1 routes

Overview1 Credits routes

MoonshotAI: Kimi K2.6 routes

Overview17 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="minimaxai/minimax-m1-80k",
    messages=messages,
)

Questions

Which should I use, MiniMax M1 or MoonshotAI: Kimi K2.6?

Is MiniMax M1 or MoonshotAI: Kimi K2.6 cheaper?

The current cheapest TrustedRouter route is $2.90125/1M for MiniMax M1 and $2.532/1M for MoonshotAI: Kimi K2.6. The comparison uses current catalog prices and updates as provider pricing changes.

Is MiniMax M1 or MoonshotAI: Kimi K2.6 faster?

Current measured p50 time to first token is not enough data for MiniMax M1 and 1017 ms for MoonshotAI: Kimi K2.6. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test MiniMax M1 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 minimaxai/minimax-m1-80k and moonshotai/kimi-k2.6. This makes side-by-side evals possible without maintaining two provider integrations.