OpenAI compatible API · Attested · Public status

Google: Gemini 2.5 Pro vs Thinking Machines: Inkling Small

Compare Google: Gemini 2.5 Pro and Thinking Machines: Inkling Small 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

Thinking Machines: Inkling Small 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. Current TrustedRouter probes show Thinking Machines: Inkling Small with the lower p50 TTFT.

$11.8125/1MGoogle: Gemini 2.5 Pro cheapest route

$1.575/1MThinking Machines: Inkling Small cheapest route

2438 msGoogle: Gemini 2.5 Pro measured p50 TTFT

1484 msThinking Machines: Inkling Small measured p50 TTFT

Google: Gemini 2.5 ProThinking Machines: Inkling Small

Model idgoogle/gemini-2.5-prothinkingmachines/inkling-small

PublisherGoogle AI StudioDeepInfra

AI IQ IQ 103#57 —

Context1,048,576 tokens524,288 tokens

Provider routes66

Cheapest route$11.8125/1M$1.575/1M

Privacy posturehas ZDR routeprovider posture varies

Modes chat chat

Google: Gemini 2.5 Pro routes

Overview6 endpoints
PricingPrompt and completion rates
BenchmarksTrustedRouter and external sources
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="google/gemini-2.5-pro",
    messages=messages,
)