Bring your own key

gemma 2 2b it vs MoonshotAI: Kimi K3

One key routes both. Starter credit covers your first Kimi K3 requests, while gemma 2 2b it runs on your own provider key. 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

MoonshotAI: Kimi K3 has more Credits provider routes and the larger context window. A published Credits price comparison is not available for both models. There is not enough recent probe data to compare speed.

$0.0844/1Mgemma 2 2b it cheapest route

$11.97425/1MMoonshotAI: Kimi K3 cheapest route

not enough datagemma 2 2b it 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.

gemma 2 2b itMoonshotAI: Kimi K3

Model idgoogle/gemma-2-2b-itmoonshotai/kimi-k3

Publisher Google AI Studio Kimi

AI IQ — IQ 127#21

Context8,192 tokens1,048,576 tokens

Credits provider routes028

Cheapest route$0.0844/1M$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 datanot enough data

Highest measured throughputnot enough datanot enough data

Recent route uptime rangenot enough datanot enough data

Modes chat chat

gemma 2 2b it routes

Overview0 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="google/gemma-2-2b-it",
    messages=messages,
)

Questions

Which should I use, gemma 2 2b it or MoonshotAI: Kimi K3?

Is gemma 2 2b it or MoonshotAI: Kimi K3 cheaper?

The current cheapest TrustedRouter route is $0.0844/1M for gemma 2 2b it and $11.97425/1M for MoonshotAI: Kimi K3. The comparison uses current catalog prices and updates as provider pricing changes.

Is gemma 2 2b it or MoonshotAI: Kimi K3 faster?

Current measured p50 time to first token is not enough data for gemma 2 2b it 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 gemma 2 2b it 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 google/gemma-2-2b-it and moonshotai/kimi-k3. This makes side-by-side evals possible without maintaining two provider integrations.