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Devstral-Small-2505 vs MoonshotAI: Kimi K3

Try both on us. Starter credit covers your first requests, then one key routes Devstral-Small-2505 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

Devstral-Small-2505 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.

$0.422/1MDevstral-Small-2505 cheapest route

$11.97425/1MMoonshotAI: Kimi K3 cheapest route

not enough dataDevstral-Small-2505 fastest measured p50 TTFT

980 msMoonshotAI: Kimi K3 fastest measured p50 TTFT via lyceum

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.

Devstral-Small-2505MoonshotAI: Kimi K3

Model idmistralai/devstral-small-2505moonshotai/kimi-k3

Publisher Mistral Kimi

AI IQ — IQ 127#21

Context128,000 tokens1,048,576 tokens

Credits provider routes128

Cheapest route$0.422/1M$11.97425/1M

Cached inputNot published$0.195175/1M to $1.897945/1M

Privacy postureprovider posture varieshas Confidential route (E2EE + ZDR)

Fastest measured p50 TTFTnot enough data980 ms via lyceum

Highest measured throughputnot enough data172 tok/s via sail-research

Recent route uptime rangenot enough data84.62% to 100.00%

Modes chat chat

Devstral-Small-2505 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.trustedrouter.com/v1",
    api_key="sk-tr-v1-..."
)

response = client.chat.completions.create(
    model="mistralai/devstral-small-2505",
    messages=messages,
)

Questions

Which should I use, Devstral-Small-2505 or MoonshotAI: Kimi K3?

Is Devstral-Small-2505 or MoonshotAI: Kimi K3 cheaper?

The current cheapest TrustedRouter route is $0.422/1M for Devstral-Small-2505 and $11.97425/1M for MoonshotAI: Kimi K3. The comparison uses current catalog prices and updates as provider pricing changes.

Is Devstral-Small-2505 or MoonshotAI: Kimi K3 faster?

Current measured p50 time to first token is not enough data for Devstral-Small-2505 and 980 ms for MoonshotAI: Kimi K3. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test Devstral-Small-2505 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 mistralai/devstral-small-2505 and moonshotai/kimi-k3. This makes side-by-side evals possible without maintaining two provider integrations.