OpenAI compatible API · Attested · Public status

Google: Gemini 2.5 Pro vs MiniMax: MiniMax M2

Compare Google: Gemini 2.5 Pro and MiniMax: MiniMax M2 by providers, context, price, and TrustedRouter route support.

Verify gateway
Onebase URL to migrate
100sof models and routes
0prompt or output logs. Always.
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 2.5 Pro has more provider fallback routes, while Google: Gemini 2.5 Pro has the larger context window. Probe-backed speed data is shown when enough recent samples exist.

$11.8125/1MGoogle: Gemini 2.5 Pro cheapest route
$1.575/1MMiniMax: MiniMax M2 cheapest route
not enough dataGoogle: Gemini 2.5 Pro measured p50 TTFT
not enough dataMiniMax: MiniMax M2 measured p50 TTFT
Google: Gemini 2.5 ProMiniMax: MiniMax M2
Model idgoogle/gemini-2.5-prominimax/minimax-m2
PublisherGoogle AI StudioNovita AI
AI IQ IQ 103#57
Context1,048,576 tokens204,800 tokens
Provider routes64
Cheapest route$11.8125/1M$1.575/1M
Privacy posturehas ZDR routeprovider posture varies
Modes chat chat

Google: Gemini 2.5 Pro routes

MiniMax: MiniMax M2 routes

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://gchircrcif.eu-west-3.awsapprunner.com/v1",
    api_key="sk-tr-v1-..."
)

response = client.chat.completions.create(
    model="google/gemini-2.5-pro",
    messages=messages,
)
Workspace access

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