OpenAI compatible API · Attested · Public status

Google: Gemini 3.1 Pro Preview vs MiniMax: MiniMax M2

Compare Google: Gemini 3.1 Pro Preview and MiniMax: MiniMax M2 by providers, context, price, and TrustedRouter route support.

Verify gateway

Onebase URL to migrate

100sof models and routes

Noneprompt logs by default

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

MiniMax: MiniMax M2 has the lower cheapest prompt+completion route on TrustedRouter. Google: Gemini 3.1 Pro Preview has more provider fallback routes, while Google: Gemini 3.1 Pro Preview has the larger context window. Current TrustedRouter probes show MiniMax: MiniMax M2 with the lower p50 TTFT.

$14.7/1MGoogle: Gemini 3.1 Pro Preview cheapest route

$1.575/1MMiniMax: MiniMax M2 cheapest route

6470 msGoogle: Gemini 3.1 Pro Preview measured p50 TTFT

2643 msMiniMax: MiniMax M2 measured p50 TTFT

Google: Gemini 3.1 Pro PreviewMiniMax: MiniMax M2

Model idgoogle/gemini-3.1-pro-previewminimax/minimax-m2

PublisherGoogle AI StudioNovita AI

AI IQ IQ 126#8 —

Context1,048,576 tokens204,800 tokens

Provider routes74

Cheapest route$14.7/1M$1.575/1M

Privacy postureprovider posture variesprovider posture varies

Modes chat chat

Google: Gemini 3.1 Pro Preview routes

Overview7 endpoints
PricingPrompt and completion rates
BenchmarksTrustedRouter and external sources
ProvidersAll serving providers

MiniMax: MiniMax M2 routes

Overview4 endpoints
PricingPrompt and completion rates
ProvidersAll serving providers

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-preview",
    messages=messages,
)