OpenAI compatible API · Attested · Public status
MiniMax: MiniMax M2.5 vs Google: Gemma 4 26B A4B
Compare MiniMax: MiniMax M2.5 and Google: Gemma 4 26B A4B by providers, context, price, and TrustedRouter route support.
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
Google: Gemma 4 26B A4B has the lower cheapest prompt+completion route on TrustedRouter. MiniMax: MiniMax M2.5 has more provider fallback routes, while Google: Gemma 4 26B A4B has the larger context window. Current TrustedRouter probes show MiniMax: MiniMax M2.5 with the lower p50 TTFT.
$1.1025/1MMiniMax: MiniMax M2.5 cheapest route
$0.4305/1MGoogle: Gemma 4 26B A4B cheapest route
1526 msMiniMax: MiniMax M2.5 measured p50 TTFT
5080 msGoogle: Gemma 4 26B A4B measured p50 TTFT
MiniMax: MiniMax M2.5Google: Gemma 4 26B A4B
Model id
minimax/minimax-m2.5google/gemma-4-26b-a4b-it
PublisherFriendliAIGoogle AI Studio
Context204,800 tokens262,144 tokens
Provider routes1611
Cheapest route$1.1025/1M$0.4305/1M
Privacy posturehas confidential-compute routehas ZDR route
Modes
chat
chat
MiniMax: MiniMax M2.5 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://api.trustedrouter.com/v1",
api_key="sk-tr-v1-..."
)
response = client.chat.completions.create(
model="minimax/minimax-m2.5",
messages=messages,
)