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Google: Gemini 3.1 Pro Preview vs Google: Gemma 4 31B

Try both on us. Starter credit covers your first requests, then one key routes Gemini 3.1 Pro Preview and Gemma 4 31B. 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 3.1 Pro Preview has the larger context window. Google: Gemma 4 31B has the lower published input-plus-output rate and more Credits provider routes. There is not enough recent probe data to compare speed.

$14.77/1MGoogle: Gemini 3.1 Pro Preview cheapest route
$0.45365/1MGoogle: Gemma 4 31B cheapest route
not enough dataGoogle: Gemini 3.1 Pro Preview fastest measured p50 TTFT
not enough dataGoogle: Gemma 4 31B 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: Gemini 3.1 Pro PreviewGoogle: Gemma 4 31B
Model idgoogle/gemini-3.1-pro-previewgoogle/gemma-4-31b-it
Context1,048,576 tokens262,144 tokens
Credits provider routes316
Cheapest route$14.77/1M$0.45365/1M
Cached input$0.211/1M to $0.422/1M$0.03798/1M to $0.26375/1M
Privacy posturehas ZDR routehas 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

Google: Gemini 3.1 Pro Preview routes

Google: Gemma 4 31B 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-azure.trustedrouter.com/v1",
    api_key="sk-tr-v1-..."
)

response = client.chat.completions.create(
    model="google/gemini-3.1-pro-preview",
    messages=messages,
)

Questions

Which should I use, Google: Gemini 3.1 Pro Preview or Google: Gemma 4 31B?

Google: Gemini 3.1 Pro Preview has the larger context window. Google: Gemma 4 31B has the lower published input-plus-output rate and more Credits provider routes. There is not enough recent probe data to compare speed.

Is Google: Gemini 3.1 Pro Preview or Google: Gemma 4 31B cheaper?

The current cheapest TrustedRouter route is $14.77/1M for Google: Gemini 3.1 Pro Preview and $0.45365/1M for Google: Gemma 4 31B. The comparison uses current catalog prices and updates as provider pricing changes.

Is Google: Gemini 3.1 Pro Preview or Google: Gemma 4 31B faster?

Current measured p50 time to first token is not enough data for Google: Gemini 3.1 Pro Preview and not enough data for Google: Gemma 4 31B. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test Google: Gemini 3.1 Pro Preview and Google: Gemma 4 31B 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-3.1-pro-preview and google/gemma-4-31b-it. This makes side-by-side evals possible without maintaining two provider integrations.

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