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Google: Gemini 2.5 Pro vs MiniMax: MiniMax M3

Try both on us. Starter credit covers your first requests, then one key routes Gemini 2.5 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 lower measured p50 time to first token. Their context windows are the same size.

$11.86875/1MGoogle: Gemini 2.5 Pro cheapest route

$1.25545/1MMiniMax: MiniMax M3 cheapest route

3725 msGoogle: Gemini 2.5 Pro fastest measured p50 TTFT via google-vertex

859 msMiniMax: MiniMax M3 fastest measured p50 TTFT via fireworks

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 2.5 ProMiniMax: MiniMax M3

Model idgoogle/gemini-2.5-prominimax/minimax-m3

Publisher Google AI Studio MiniMax

AI IQ IQ 99#130 IQ 114#64

Context1,048,576 tokens1,048,576 tokens

Credits provider routes314

Cheapest route$11.86875/1M$1.25545/1M

Cached input$0.131875/1M to $0.26375/1M$0.05275/1M to $0.2532/1M

Privacy posturehas ZDR routehas ZDR route

Fastest measured p50 TTFT3725 ms via google-vertex859 ms via fireworks

Highest measured throughputnot enough data300 tok/s via wandb

Recent route uptime range100.00%100.00%

Modes chat chat

Google: Gemini 2.5 Pro routes

Overview3 Credits routes
PricingInput, cached input, and output rates
BenchmarksTrustedRouter and external sources
ProvidersAll serving providers

MiniMax: MiniMax M3 routes

Overview14 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-2.5-pro",
    messages=messages,
)

Questions

Which should I use, Google: Gemini 2.5 Pro or MiniMax: MiniMax M3?

MiniMax: MiniMax M3 has the lower published input-plus-output rate, more Credits provider routes and the lower measured p50 time to first token. Their context windows are the same size.

Is Google: Gemini 2.5 Pro or MiniMax: MiniMax M3 cheaper?

The current cheapest TrustedRouter route is $11.86875/1M for Google: Gemini 2.5 Pro and $1.25545/1M for MiniMax: MiniMax M3. The comparison uses current catalog prices and updates as provider pricing changes.

Is Google: Gemini 2.5 Pro or MiniMax: MiniMax M3 faster?

Current measured p50 time to first token is 3725 ms for Google: Gemini 2.5 Pro and 859 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 2.5 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-2.5-pro and minimax/minimax-m3. This makes side-by-side evals possible without maintaining two provider integrations.