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DeepSeek v4.1 Flash (1017) vs MoonshotAI: Kimi K2.7 Code

Try both on us. Starter credit covers your first requests, then one key routes DeepSeek v4.1 Flash (1017) 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

DeepSeek v4.1 Flash (1017) has the lower published input-plus-output rate and the larger context window. MoonshotAI: Kimi K2.7 Code has more Credits provider routes. There is not enough recent probe data to compare speed.

$1.5825/1MDeepSeek v4.1 Flash (1017) cheapest route

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

not enough dataDeepSeek v4.1 Flash (1017) fastest measured p50 TTFT

877 msMoonshotAI: Kimi K2.7 Code 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.

DeepSeek v4.1 Flash (1017)MoonshotAI: Kimi K2.7 Code

Model iddeepseek/deepseek-v4-1-flash-1017moonshotai/kimi-k2.7-code

Publisher DeepSeek Kimi

AI IQ — IQ 111#77

Context1,000,000 tokens262,144 tokens

Credits provider routes114

Cheapest route$1.5825/1M$4.173791/1M

Cached input$0.01/1M$0.15825/1M to $0.546617/1M

Privacy postureprovider posture varieshas ZDR route

Fastest measured p50 TTFTnot enough data877 ms via inceptron

Highest measured throughputnot enough data152 tok/s via featherless

Recent route uptime rangenot enough data0.00% to 100.00%

Modes chat chat

DeepSeek v4.1 Flash (1017) 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="deepseek/deepseek-v4-1-flash-1017",
    messages=messages,
)

Questions

Which should I use, DeepSeek v4.1 Flash (1017) or MoonshotAI: Kimi K2.7 Code?

Is DeepSeek v4.1 Flash (1017) or MoonshotAI: Kimi K2.7 Code cheaper?

The current cheapest TrustedRouter route is $1.5825/1M for DeepSeek v4.1 Flash (1017) and $4.173791/1M for MoonshotAI: Kimi K2.7 Code. The comparison uses current catalog prices and updates as provider pricing changes.

Is DeepSeek v4.1 Flash (1017) or MoonshotAI: Kimi K2.7 Code faster?

Current measured p50 time to first token is not enough data for DeepSeek v4.1 Flash (1017) and 877 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 DeepSeek v4.1 Flash (1017) 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 deepseek/deepseek-v4-1-flash-1017 and moonshotai/kimi-k2.7-code. This makes side-by-side evals possible without maintaining two provider integrations.