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Mistral: Mistral Medium 3.5 vs MoonshotAI: Kimi K3

Try both on us. Starter credit covers your first requests, then one key routes Mistral Medium 3.5 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

Mistral Medium 3.5 has the lower published input-plus-output rate. MoonshotAI: Kimi K3 has more Credits provider routes, the larger context window and the lower measured p50 time to first token.

$9.495/1MMistral: Mistral Medium 3.5 cheapest route

$11.97425/1MMoonshotAI: Kimi K3 cheapest route

893 msMistral: Mistral Medium 3.5 fastest measured p50 TTFT via mistral

838 msMoonshotAI: Kimi K3 fastest measured p50 TTFT via together

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.

Mistral: Mistral Medium 3.5MoonshotAI: Kimi K3

Model idmistralai/mistral-medium-3-5moonshotai/kimi-k3

Publisher Mistral Kimi

AI IQ — IQ 127#22

Context262,144 tokens1,048,576 tokens

Credits provider routes128

Cheapest route$9.495/1M$11.97425/1M

Cached input$0.15825/1M$0.195175/1M to $1.897945/1M

Privacy postureprovider posture varieshas Confidential route (E2EE + ZDR)

Fastest measured p50 TTFT893 ms via mistral838 ms via together

Highest measured throughputnot enough data183 tok/s via lyceum

Recent route uptime range100.00%0.00% to 100.00%

Modes chat chat

Mistral: Mistral Medium 3.5 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/mistral-medium-3-5",
    messages=messages,
)

Questions

Which should I use, Mistral: Mistral Medium 3.5 or MoonshotAI: Kimi K3?

Mistral Medium 3.5 has the lower published input-plus-output rate. MoonshotAI: Kimi K3 has more Credits provider routes, the larger context window and the lower measured p50 time to first token.

Is Mistral: Mistral Medium 3.5 or MoonshotAI: Kimi K3 cheaper?

The current cheapest TrustedRouter route is $9.495/1M for Mistral: Mistral Medium 3.5 and $11.97425/1M for MoonshotAI: Kimi K3. The comparison uses current catalog prices and updates as provider pricing changes.

Is Mistral: Mistral Medium 3.5 or MoonshotAI: Kimi K3 faster?

Current measured p50 time to first token is 893 ms for Mistral: Mistral Medium 3.5 and 838 ms for MoonshotAI: Kimi K3. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test Mistral: Mistral Medium 3.5 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/mistral-medium-3-5 and moonshotai/kimi-k3. This makes side-by-side evals possible without maintaining two provider integrations.