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google/gemini-3.1-pro vs MiniMax: MiniMax M3

Try both on us. Starter credit covers your first requests, then one key routes google/gemini-3.1-pro and MiniMax M3. 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

MiniMax: MiniMax M3 has the lower published input-plus-output rate, more Credits provider routes and the larger context window. There is not enough recent probe data to compare speed.

$14.77/1Mgoogle/gemini-3.1-pro cheapest route

$1.25545/1MMiniMax: MiniMax M3 cheapest route

not enough datagoogle/gemini-3.1-pro fastest measured p50 TTFT

1653 msMiniMax: MiniMax M3 fastest measured p50 TTFT via lyceum

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/gemini-3.1-proMiniMax: MiniMax M3

Model idgoogle/gemini-3.1-prominimax/minimax-m3

Publisher Google AI Studio MiniMax

AI IQ IQ 122#34 IQ 115#55

Context1,000,000 tokens1,048,576 tokens

Credits provider routes115

Cheapest route$14.77/1M$1.25545/1M

Cached inputNot published$0.05275/1M to $0.2532/1M

Privacy postureprovider posture varieshas ZDR route

Fastest measured p50 TTFTnot enough data1653 ms via lyceum

Highest measured throughputnot enough data258 tok/s via fireworks

Recent route uptime rangenot enough data100.00%

Modes chat chat

google/gemini-3.1-pro routes

Overview1 Credits routes

MiniMax: MiniMax M3 routes

Overview15 Credits routes
PricingInput, cached input, and output rates
BenchmarksTrustedRouter and external sources
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.trustedrouter.com/v1",
    api_key="sk-tr-v1-..."
)

response = client.chat.completions.create(
    model="google/gemini-3.1-pro",
    messages=messages,
)

Questions

Which should I use, google/gemini-3.1-pro or MiniMax: MiniMax M3?

MiniMax: MiniMax M3 has the lower published input-plus-output rate, more Credits provider routes and the larger context window. There is not enough recent probe data to compare speed.

Is google/gemini-3.1-pro or MiniMax: MiniMax M3 cheaper?

The current cheapest TrustedRouter route is $14.77/1M for google/gemini-3.1-pro and $1.25545/1M for MiniMax: MiniMax M3. The comparison uses current catalog prices and updates as provider pricing changes.

Is google/gemini-3.1-pro or MiniMax: MiniMax M3 faster?

Current measured p50 time to first token is not enough data for google/gemini-3.1-pro and 1653 ms for MiniMax: MiniMax M3. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test google/gemini-3.1-pro and MiniMax: MiniMax M3 with the same API?

Yes. Use the same OpenAI-compatible TrustedRouter base URL and API key, then change only the model id between google/gemini-3.1-pro and minimax/minimax-m3. This makes side-by-side evals possible without maintaining two provider integrations.