OpenAI compatible API · Attested · Public status

DeepSeek: DeepSeek V4 Pro 0423 vs MoonshotAI: Kimi K2 0905

DeepSeek V4 Pro 0423 vs MoonshotAI: Kimi K2 0905: 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 Pro 0423 has the lower published input-plus-output rate, more Credits provider routes and the larger context window. There is not enough recent probe data to compare speed.

$0.79125/1MDeepSeek: DeepSeek V4 Pro 0423 cheapest route
$3.2705/1MMoonshotAI: Kimi K2 0905 cheapest route
1525 msDeepSeek: DeepSeek V4 Pro 0423 fastest measured p50 TTFT via digitalocean
not enough dataMoonshotAI: Kimi K2 0905 fastest measured p50 TTFT

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 Pro 0423MoonshotAI: Kimi K2 0905
Model iddeepseek/deepseek-v4-promoonshotai/kimi-k2-0905
AI IQ IQ 123#27 —
Context1,048,576 tokens262,144 tokens
Credits provider routes161
Cheapest route$0.79125/1M$3.2705/1M
Cached input$0.01/1M to $0.91574/1MNot published
Privacy posturehas ZDR routeprovider posture varies
Fastest measured p50 TTFT1525 ms via digitaloceannot enough data
Highest measured throughputnot enough datanot enough data
Recent route uptime range88.89% to 100.00%not enough data
Modes chat chat

DeepSeek: DeepSeek V4 Pro 0423 routes

MoonshotAI: Kimi K2 0905 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-pro",
    messages=messages,
)

Questions

Which should I use, DeepSeek: DeepSeek V4 Pro 0423 or MoonshotAI: Kimi K2 0905?

DeepSeek V4 Pro 0423 has the lower published input-plus-output rate, more Credits provider routes and the larger context window. There is not enough recent probe data to compare speed.

Is DeepSeek: DeepSeek V4 Pro 0423 or MoonshotAI: Kimi K2 0905 cheaper?

The current cheapest TrustedRouter route is $0.79125/1M for DeepSeek: DeepSeek V4 Pro 0423 and $3.2705/1M for MoonshotAI: Kimi K2 0905. The comparison uses current catalog prices and updates as provider pricing changes.

Is DeepSeek: DeepSeek V4 Pro 0423 or MoonshotAI: Kimi K2 0905 faster?

Current measured p50 time to first token is 1525 ms for DeepSeek: DeepSeek V4 Pro 0423 and not enough data for MoonshotAI: Kimi K2 0905. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test DeepSeek: DeepSeek V4 Pro 0423 and MoonshotAI: Kimi K2 0905 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-pro and moonshotai/kimi-k2-0905. This makes side-by-side evals possible without maintaining two provider integrations.

Workspace access

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