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Google: Gemini 3.8 Flash vs Google: Gemma 3 12B

Try both on us. Starter credit covers your first requests, then one key routes Gemini 3.8 Flash and Gemma 3 12B. 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: Gemini 3.8 Flash has the larger context window. Google: Gemma 3 12B has the lower published input-plus-output rate, more Credits provider routes and the lower measured p50 time to first token.

$4.7475/1MGoogle: Gemini 3.8 Flash cheapest route
$0.15825/1MGoogle: Gemma 3 12B cheapest route
2637 msGoogle: Gemini 3.8 Flash fastest measured p50 TTFT via google-vertex
1152 msGoogle: Gemma 3 12B fastest measured p50 TTFT via amazon-bedrock

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: Gemini 3.8 FlashGoogle: Gemma 3 12B
Model idgoogle/gemini-3.8-flashgoogle/gemma-3-12b-it
AI IQ IQ 129#17 —
Context1,048,576 tokens131,072 tokens
Credits provider routes36
Cheapest route$4.7475/1M$0.15825/1M
Cached input$0.079125/1M$0.05275/1M
Privacy postureprovider posture varieshas ZDR route
Fastest measured p50 TTFT2637 ms via google-vertex1152 ms via amazon-bedrock
Highest measured throughputnot enough data107 tok/s via nextbit-eu
Recent route uptime range100.00%100.00%
Modes chat chat

Google: Gemini 3.8 Flash routes

Google: Gemma 3 12B 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/gemini-3.8-flash",
    messages=messages,
)

Questions

Which should I use, Google: Gemini 3.8 Flash or Google: Gemma 3 12B?

Google: Gemini 3.8 Flash has the larger context window. Google: Gemma 3 12B has the lower published input-plus-output rate, more Credits provider routes and the lower measured p50 time to first token.

Is Google: Gemini 3.8 Flash or Google: Gemma 3 12B cheaper?

The current cheapest TrustedRouter route is $4.7475/1M for Google: Gemini 3.8 Flash and $0.15825/1M for Google: Gemma 3 12B. The comparison uses current catalog prices and updates as provider pricing changes.

Is Google: Gemini 3.8 Flash or Google: Gemma 3 12B faster?

Current measured p50 time to first token is 2637 ms for Google: Gemini 3.8 Flash and 1152 ms for Google: Gemma 3 12B. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test Google: Gemini 3.8 Flash and Google: Gemma 3 12B with the same API?

Yes. Use the same OpenAI-compatible TrustedRouter base URL and API key, then change only the model id between google/gemini-3.8-flash and google/gemma-3-12b-it. This makes side-by-side evals possible without maintaining two provider integrations.

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