OpenAI compatible API · Attested · Public status

Google: Gemini 3.5 Flash vs Thinking Machines: Inkling

Compare Google: Gemini 3.5 Flash and Thinking Machines: Inkling 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

Thinking Machines: Inkling has the lower cheapest prompt+completion route on TrustedRouter. Google: Gemini 3.5 Flash has more provider fallback routes, while Google: Gemini 3.5 Flash has the larger context window. Current TrustedRouter probes show Thinking Machines: Inkling with the lower p50 TTFT.

$11.025/1MGoogle: Gemini 3.5 Flash cheapest route

$5.25/1MThinking Machines: Inkling cheapest route

1997 msGoogle: Gemini 3.5 Flash measured p50 TTFT

1742 msThinking Machines: Inkling measured p50 TTFT

Google: Gemini 3.5 FlashThinking Machines: Inkling

Model idgoogle/gemini-3.5-flashthinkingmachines/inkling

Publisher Google AI Studio DeepInfra

AI IQ IQ 124#13 IQ 107#48

Context1,048,576 tokens1,048,576 tokens

Provider routes76

Cheapest route$11.025/1M$5.25/1M

Privacy posturehas ZDR routehas ZDR route

Modes chat chat

Google: Gemini 3.5 Flash routes

Overview7 endpoints
PricingPrompt and completion rates
ProvidersAll serving providers

Thinking Machines: Inkling 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-3.5-flash",
    messages=messages,
)