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Google: Gemma 4 31B vs OpenAI Text Embedding Ada 002

Try both on us. Starter credit covers your first requests, then one key routes Gemma 4 31B and OpenAI Text Embedding Ada 002. 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 and the larger context window. OpenAI Text Embedding Ada 002 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

$0.1055/1MOpenAI Text Embedding Ada 002 cheapest route

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

not enough dataOpenAI Text Embedding Ada 002 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 Text Embedding Ada 002

Model idgoogle/gemma-4-31b-itopenai/text-embedding-ada-002

Publisher Google AI Studio OpenAI

AI IQ IQ 101#116 —

Context262,144 tokens8,191 tokens

Credits provider routes161

Cheapest route$0.45365/1M$0.1055/1M

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

Privacy posturehas Confidential route (E2EE + ZDR)has ZDR route

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 embeddings

Google: Gemma 4 31B routes

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

OpenAI Text Embedding Ada 002 routes

Overview1 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 Text Embedding Ada 002?

Is Google: Gemma 4 31B or OpenAI Text Embedding Ada 002 cheaper?

The current cheapest TrustedRouter route is $0.45365/1M for Google: Gemma 4 31B and $0.1055/1M for OpenAI Text Embedding Ada 002. The comparison uses current catalog prices and updates as provider pricing changes.

Is Google: Gemma 4 31B or OpenAI Text Embedding Ada 002 faster?

Current measured p50 time to first token is not enough data for Google: Gemma 4 31B and not enough data for OpenAI Text Embedding Ada 002. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test Google: Gemma 4 31B and OpenAI Text Embedding Ada 002 with the same API?

Both use the same TrustedRouter base URL and API key. At least one of them is not a chat model, so the request can differ as well as the model id: the API docs list the route for each kind of model.