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Google: Gemma 4 31B vs Kimi K3

Try both on us. Starter credit covers your first requests, then one key routes Gemma 4 31B 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

Google: Gemma 4 31B has the lower published input-plus-output rate and more Credits provider routes. Kimi K3 has the larger context window. There is not enough recent probe data to compare speed.

$0.45365/1MGoogle: Gemma 4 31B cheapest route

$18.99/1MKimi K3 cheapest route

665 msGoogle: Gemma 4 31B fastest measured p50 TTFT via crusoe

not enough dataKimi 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.

Google: Gemma 4 31BKimi K3

Model idgoogle/gemma-4-31b-itmoonshotai/kimi-k3-p

Publisher Google AI Studio Kimi

AI IQ IQ 101#116 —

Context262,144 tokens1,048,576 tokens

Credits provider routes161

Cheapest route$0.45365/1M$18.99/1M

Cached input$0.03798/1M to $0.26375/1M$0.3165/1M

Privacy posturehas Confidential route (E2EE + ZDR)provider posture varies

Fastest measured p50 TTFT665 ms via crusoenot enough data

Highest measured throughput146 tok/s via crusoenot enough data

Recent route uptime range0.00% to 100.00%not enough data

Modes chat chat

Google: Gemma 4 31B routes

Overview16 Credits routes
PricingInput, cached input, and output rates
ProvidersAll serving providers

Kimi K3 routes

Overview1 Credits routes

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Google: Gemma 4 31B vs MoonshotAI: Kimi K344 combined provider routes
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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="google/gemma-4-31b-it",
    messages=messages,
)

Questions

Which should I use, Google: Gemma 4 31B or Kimi K3?

Google: Gemma 4 31B has the lower published input-plus-output rate and more Credits provider routes. Kimi K3 has the larger context window. There is not enough recent probe data to compare speed.

Is Google: Gemma 4 31B or Kimi K3 cheaper?

The current cheapest TrustedRouter route is $0.45365/1M for Google: Gemma 4 31B and $18.99/1M for Kimi K3. The comparison uses current catalog prices and updates as provider pricing changes.

Is Google: Gemma 4 31B or Kimi K3 faster?

Current measured p50 time to first token is 665 ms for Google: Gemma 4 31B and not enough data for Kimi K3. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test Google: Gemma 4 31B and 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 google/gemma-4-31b-it and moonshotai/kimi-k3-p. This makes side-by-side evals possible without maintaining two provider integrations.