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Baichuan M2 32B vs Google: Gemma 4 31B

Try both on us. Starter credit covers your first requests, then one key routes Baichuan M2 32B 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

Baichuan M2 32B has the lower published input-plus-output rate. Google: Gemma 4 31B has more Credits provider routes and the larger context window. There is not enough recent probe data to compare speed.

$0.1477/1MBaichuan M2 32B cheapest route

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

not enough dataBaichuan M2 32B 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.

Baichuan M2 32BGoogle: Gemma 4 31B

Model idbaichuan/baichuan-m2-32bgoogle/gemma-4-31b-it

PublisherBaichuan Google AI Studio

AI IQ — IQ 101#116

Context131,072 tokens262,144 tokens

Credits provider routes116

Cheapest route$0.1477/1M$0.45365/1M

Cached inputNot published$0.03798/1M to $0.26375/1M

Privacy postureprovider posture varieshas 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

Baichuan M2 32B routes

Overview1 Credits routes

Google: Gemma 4 31B routes

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

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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="baichuan/baichuan-m2-32b",
    messages=messages,
)

Questions

Which should I use, Baichuan M2 32B or Google: Gemma 4 31B?

Is Baichuan M2 32B or Google: Gemma 4 31B cheaper?

The current cheapest TrustedRouter route is $0.1477/1M for Baichuan M2 32B and $0.45365/1M for Google: Gemma 4 31B. The comparison uses current catalog prices and updates as provider pricing changes.

Is Baichuan M2 32B or Google: Gemma 4 31B faster?

Current measured p50 time to first token is not enough data for Baichuan M2 32B 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 Baichuan M2 32B 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 baichuan/baichuan-m2-32b and google/gemma-4-31b-it. This makes side-by-side evals possible without maintaining two provider integrations.