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Google: Gemma 4 31B vs Jina AI: Jina Embeddings v4

Try both on us. Starter credit covers your first requests, then one key routes Gemma 4 31B and Jina Embeddings v4. 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. Jina AI: Jina Embeddings v4 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

$0.05275/1MJina AI: Jina Embeddings v4 cheapest route

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

not enough dataJina AI: Jina Embeddings v4 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 31BJina AI: Jina Embeddings v4

Model idgoogle/gemma-4-31b-itjina-ai/jina-embeddings-v4

Publisher Google AI Studio Jina AI

AI IQ IQ 101#116 —

Context262,144 tokens32,768 tokens

Credits provider routes161

Cheapest route$0.45365/1M$0.05275/1M

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 embeddings

Google: Gemma 4 31B routes

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

Jina AI: Jina Embeddings v4 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 Jina AI: Jina Embeddings v4?

Is Google: Gemma 4 31B or Jina AI: Jina Embeddings v4 cheaper?

The current cheapest TrustedRouter route is $0.45365/1M for Google: Gemma 4 31B and $0.05275/1M for Jina AI: Jina Embeddings v4. The comparison uses current catalog prices and updates as provider pricing changes.

Is Google: Gemma 4 31B or Jina AI: Jina Embeddings v4 faster?

Current measured p50 time to first token is not enough data for Google: Gemma 4 31B and not enough data for Jina AI: Jina Embeddings v4. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test Google: Gemma 4 31B and Jina AI: Jina Embeddings v4 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.