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Google: Gemma 4 31B vs MiniMax M3 Preview

Try both on us. Starter credit covers your first requests, then one key routes Gemma 4 31B and MiniMax M3 Preview. 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 the lower published input-plus-output rate and more Credits provider routes. MiniMax M3 Preview has the larger context window. There is not enough recent probe data to compare speed.

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

$1.5825/1MMiniMax M3 Preview cheapest route

524 msGoogle: Gemma 4 31B fastest measured p50 TTFT via friendli

not enough dataMiniMax M3 Preview 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 31BMiniMax M3 Preview

Model idgoogle/gemma-4-31b-itminimax/minimax-m3-preview

Publisher Google AI Studio MiniMax

AI IQ IQ 101#117 IQ 114#61

Context262,144 tokens524,288 tokens

Credits provider routes161

Cheapest route$0.45365/1M$1.5825/1M

Cached input$0.03798/1M to $0.26375/1M$0.0633/1M

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

Fastest measured p50 TTFT524 ms via friendlinot enough data

Highest measured throughput191 tok/s via tinfoilnot enough data

Recent route uptime range0.00% to 100.00%not enough data

Modes chat chat

Google: Gemma 4 31B routes

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

MiniMax M3 Preview 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.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 MiniMax M3 Preview?

Is Google: Gemma 4 31B or MiniMax M3 Preview cheaper?

The current cheapest TrustedRouter route is $0.45365/1M for Google: Gemma 4 31B and $1.5825/1M for MiniMax M3 Preview. The comparison uses current catalog prices and updates as provider pricing changes.

Is Google: Gemma 4 31B or MiniMax M3 Preview faster?

Current measured p50 time to first token is 524 ms for Google: Gemma 4 31B and not enough data for MiniMax M3 Preview. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test Google: Gemma 4 31B and MiniMax M3 Preview 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 minimax/minimax-m3-preview. This makes side-by-side evals possible without maintaining two provider integrations.