OpenAI compatible API · Attested · Public status

Google: Gemma 4 31B vs Classification Router

Google: Gemma 4 31B vs Classification Router: compare current API pricing, context, provider routes, privacy, p50 latency, and OpenAI-compatible access.

Verify gateway
Onebase URL to migrate
100sof models and routes
0prompt or output logs. Always.
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 more Credits provider routes and the larger context window. Classification Router has the lower published input-plus-output rate. There is not enough recent probe data to compare speed.

$0.45365/1MGoogle: Gemma 4 31B cheapest route
$0.11605/1MClassification Router cheapest route
864 msGoogle: Gemma 4 31B fastest measured p50 TTFT via lightning
not enough dataClassification Router 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 31BClassification Router
Model idgoogle/gemma-4-31b-itneurometric/classification-router
AI IQ IQ 101#79
Context262,144 tokens32,768 tokens
Credits provider routes151
Cheapest route$0.45365/1M$0.11605/1M
Cached input$0.03798/1M to $0.26375/1MNot published
Privacy posturehas provider E2EE routeprovider posture varies
Fastest measured p50 TTFT864 ms via lightningnot enough data
Highest measured throughputnot enough datanot enough data
Recent route uptime range0.00% to 100.00%not enough data
Modes chat chat

Google: Gemma 4 31B routes

Classification Router routes

Related comparisons

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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 Classification Router?

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

Is Google: Gemma 4 31B or Classification Router cheaper?

The current cheapest TrustedRouter route is $0.45365/1M for Google: Gemma 4 31B and $0.11605/1M for Classification Router. The comparison uses current catalog prices and updates as provider pricing changes.

Is Google: Gemma 4 31B or Classification Router faster?

Current measured p50 time to first token is 864 ms for Google: Gemma 4 31B and not enough data for Classification Router. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test Google: Gemma 4 31B and Classification Router 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 neurometric/classification-router. This makes side-by-side evals possible without maintaining two provider integrations.

Workspace access

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