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inclusionAI: Ling 3.0 Flash VL vs MoonshotAI: Kimi K3

Try both on us. Starter credit covers your first requests, then one key routes Ling 3.0 Flash VL 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

inclusionAI: Ling 3.0 Flash VL has the lower published input-plus-output rate. MoonshotAI: Kimi K3 has more Credits provider routes and the larger context window. There is not enough recent probe data to compare speed.

$0.2532/1MinclusionAI: Ling 3.0 Flash VL cheapest route

$11.97425/1MMoonshotAI: Kimi K3 cheapest route

not enough datainclusionAI: Ling 3.0 Flash VL fastest measured p50 TTFT

not enough dataMoonshotAI: Kimi K3 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.

inclusionAI: Ling 3.0 Flash VLMoonshotAI: Kimi K3

Model idinclusionai/ling-3.0-flash-vlmoonshotai/kimi-k3

PublisherinclusionAI Kimi

AI IQ — IQ 127#21

Context131,072 tokens1,048,576 tokens

Credits provider routes128

Cheapest route$0.2532/1M$11.97425/1M

Cached input$0.01266/1M$0.195175/1M to $1.897945/1M

Privacy postureprovider posture varieshas Confidential route (E2EE + ZDR)

Fastest measured p50 TTFTnot enough datanot enough data

Highest measured throughputnot enough datanot enough data

Recent route uptime rangenot enough datanot enough data

Modes chat chat

inclusionAI: Ling 3.0 Flash VL routes

Overview1 Credits routes

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-azure.trustedrouter.com/v1",
    api_key="sk-tr-v1-..."
)

response = client.chat.completions.create(
    model="inclusionai/ling-3.0-flash-vl",
    messages=messages,
)

Questions

Which should I use, inclusionAI: Ling 3.0 Flash VL or MoonshotAI: Kimi K3?

Is inclusionAI: Ling 3.0 Flash VL or MoonshotAI: Kimi K3 cheaper?

The current cheapest TrustedRouter route is $0.2532/1M for inclusionAI: Ling 3.0 Flash VL and $11.97425/1M for MoonshotAI: Kimi K3. The comparison uses current catalog prices and updates as provider pricing changes.

Is inclusionAI: Ling 3.0 Flash VL or MoonshotAI: Kimi K3 faster?

Current measured p50 time to first token is not enough data for inclusionAI: Ling 3.0 Flash VL and not enough data for MoonshotAI: Kimi K3. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test inclusionAI: Ling 3.0 Flash VL 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 inclusionai/ling-3.0-flash-vl and moonshotai/kimi-k3. This makes side-by-side evals possible without maintaining two provider integrations.