OpenAI compatible API · Attested · Public status

DeepSeek: DeepSeek V4.1 Flash vs MoonshotAI: Kimi K2.5

DeepSeek V4.1 Flash vs MoonshotAI: Kimi K2.5: 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

DeepSeek V4.1 Flash has the lower published input-plus-output rate, more Credits provider routes, the larger context window and the lower measured p50 time to first token.

$0.1266/1MDeepSeek: DeepSeek V4.1 Flash cheapest route
$2.79575/1MMoonshotAI: Kimi K2.5 cheapest route
899 msDeepSeek: DeepSeek V4.1 Flash fastest measured p50 TTFT via io-net
1222 msMoonshotAI: Kimi K2.5 fastest measured p50 TTFT via io-net

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: DeepSeek V4.1 FlashMoonshotAI: Kimi K2.5
Model iddeepseek/deepseek-v4.1-flashmoonshotai/kimi-k2.5
Context1,048,576 tokens262,144 tokens
Credits provider routes188
Cheapest route$0.1266/1M$2.79575/1M
Cached input$0.01/1M to $0.146118/1M$0.07385/1M to $0.422/1M
Privacy posturehas provider E2EE routehas ZDR route
Fastest measured p50 TTFT899 ms via io-net1222 ms via io-net
Highest measured throughput153 tok/s via pearlnot enough data
Recent route uptime range0.00% to 100.00%100.00%
Modes chat decide chat

DeepSeek: DeepSeek V4.1 Flash routes

MoonshotAI: Kimi K2.5 routes

Related comparisons

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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",
    messages=messages,
)

Questions

Which should I use, DeepSeek: DeepSeek V4.1 Flash or MoonshotAI: Kimi K2.5?

DeepSeek V4.1 Flash has the lower published input-plus-output rate, more Credits provider routes, the larger context window and the lower measured p50 time to first token.

Is DeepSeek: DeepSeek V4.1 Flash or MoonshotAI: Kimi K2.5 cheaper?

The current cheapest TrustedRouter route is $0.1266/1M for DeepSeek: DeepSeek V4.1 Flash and $2.79575/1M for MoonshotAI: Kimi K2.5. The comparison uses current catalog prices and updates as provider pricing changes.

Is DeepSeek: DeepSeek V4.1 Flash or MoonshotAI: Kimi K2.5 faster?

Current measured p50 time to first token is 899 ms for DeepSeek: DeepSeek V4.1 Flash and 1222 ms for MoonshotAI: Kimi K2.5. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test DeepSeek: DeepSeek V4.1 Flash and MoonshotAI: Kimi K2.5 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 and moonshotai/kimi-k2.5. This makes side-by-side evals possible without maintaining two provider integrations.

Workspace access

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