OpenAI compatible API · Attested · Public status

MiniMax: MiniMax M2.5 vs Thinking Machines: Inkling Small

Compare MiniMax: MiniMax M2.5 and Thinking Machines: Inkling Small across token pricing, context windows, provider availability, privacy options, route diversity, and measured performance.

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 M2.5 has the lower cheapest prompt+completion route on TrustedRouter. MiniMax: MiniMax M2.5 has more provider fallback routes, while Thinking Machines: Inkling Small has the larger context window. Current TrustedRouter probes show Thinking Machines: Inkling Small with the lower p50 TTFT.

$1.1025/1MMiniMax: MiniMax M2.5 cheapest route

$1.575/1MThinking Machines: Inkling Small cheapest route

1079 msMiniMax: MiniMax M2.5 measured p50 TTFT

725 msThinking Machines: Inkling Small measured p50 TTFT

MiniMax: MiniMax M2.5Thinking Machines: Inkling Small

Model idminimax/minimax-m2.5thinkingmachines/inkling-small

Publisher FriendliAI DeepInfra

AI IQ IQ 105#56 IQ 105#54

Context204,800 tokens524,288 tokens

Provider routes126

Cheapest route$1.1025/1M$1.575/1M

Privacy posturehas ZDR routeprovider posture varies

Modes chat chat

MiniMax: MiniMax M2.5 routes

Overview12 endpoints
PricingPrompt and completion rates
ProvidersAll serving providers

Thinking Machines: Inkling Small routes

Overview6 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="minimax/minimax-m2.5",
    messages=messages,
)