Bring your own key

Google: Gemma 4 31B vs OpenAI: GPT-5 Pro

One key routes both. Starter credit covers your first Gemma 4 31B requests, while GPT-5 Pro 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

Google: Gemma 4 31B has more Credits provider routes. GPT-5 Pro has 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.

$0.45365/1MGoogle: Gemma 4 31B cheapest route

$142.425/1MOpenAI: GPT-5 Pro cheapest route

not enough dataGoogle: Gemma 4 31B fastest measured p50 TTFT

not enough dataOpenAI: GPT-5 Pro 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 31BOpenAI: GPT-5 Pro

Model idgoogle/gemma-4-31b-itopenai/gpt-5-pro

Publisher Google AI Studio OpenAI

AI IQ IQ 101#116 —

Context262,144 tokens400,000 tokens

Credits provider routes160

Cheapest route$0.45365/1M$142.425/1M

Cached input$0.03798/1M to $0.26375/1MNot published

Privacy posturehas Confidential route (E2EE + ZDR)provider posture varies

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: Gemma 4 31B routes

Overview16 Credits routes
PricingInput, cached input, and output rates
ProvidersAll serving providers

OpenAI: GPT-5 Pro routes

Overview0 Credits 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/gemma-4-31b-it",
    messages=messages,
)

Questions

Which should I use, Google: Gemma 4 31B or OpenAI: GPT-5 Pro?

Is Google: Gemma 4 31B or OpenAI: GPT-5 Pro cheaper?

The current cheapest TrustedRouter route is $0.45365/1M for Google: Gemma 4 31B and $142.425/1M for OpenAI: GPT-5 Pro. The comparison uses current catalog prices and updates as provider pricing changes.

Is Google: Gemma 4 31B or OpenAI: GPT-5 Pro faster?

Current measured p50 time to first token is not enough data for Google: Gemma 4 31B and not enough data for OpenAI: GPT-5 Pro. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test Google: Gemma 4 31B and OpenAI: GPT-5 Pro 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 openai/gpt-5-pro. This makes side-by-side evals possible without maintaining two provider integrations.