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google/gemma-4-31B-turbo vs MoonshotAI: Kimi K2.6

Try both on us. Starter credit covers your first requests, then one key routes google/gemma-4-31B-turbo and Kimi K2.6. 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-turbo has the lower published input-plus-output rate. MoonshotAI: Kimi K2.6 has more Credits provider routes, the larger context window and the lower measured p50 time to first token.

$0.51695/1Mgoogle/gemma-4-31B-turbo cheapest route
$2.532/1MMoonshotAI: Kimi K2.6 cheapest route
7388 msgoogle/gemma-4-31B-turbo fastest measured p50 TTFT via chutes
949 msMoonshotAI: Kimi K2.6 fastest measured p50 TTFT via inceptron

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-4-31B-turboMoonshotAI: Kimi K2.6
Model idgoogle/gemma-4-31b-turbomoonshotai/kimi-k2.6
AI IQ — IQ 114#58
Context131,072 tokens262,144 tokens
Credits provider routes117
Cheapest route$0.51695/1M$2.532/1M
Cached input$0.01266/1M$0.047475/1M to $0.422/1M
Privacy posturehas Confidential route (E2EE + ZDR)has Confidential route (E2EE + ZDR)
Fastest measured p50 TTFT7388 ms via chutes949 ms via inceptron
Highest measured throughputnot enough datanot enough data
Recent route uptime range100.00%100.00%
Modes chat chat

google/gemma-4-31B-turbo routes

MoonshotAI: Kimi K2.6 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-turbo",
    messages=messages,
)

Questions

Which should I use, google/gemma-4-31B-turbo or MoonshotAI: Kimi K2.6?

google/gemma-4-31B-turbo has the lower published input-plus-output rate. MoonshotAI: Kimi K2.6 has more Credits provider routes, the larger context window and the lower measured p50 time to first token.

Is google/gemma-4-31B-turbo or MoonshotAI: Kimi K2.6 cheaper?

The current cheapest TrustedRouter route is $0.51695/1M for google/gemma-4-31B-turbo and $2.532/1M for MoonshotAI: Kimi K2.6. The comparison uses current catalog prices and updates as provider pricing changes.

Is google/gemma-4-31B-turbo or MoonshotAI: Kimi K2.6 faster?

Current measured p50 time to first token is 7388 ms for google/gemma-4-31B-turbo and 949 ms for MoonshotAI: Kimi K2.6. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test google/gemma-4-31B-turbo and MoonshotAI: Kimi K2.6 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-turbo and moonshotai/kimi-k2.6. This makes side-by-side evals possible without maintaining two provider integrations.

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