OpenAI compatible API · Attested · Public status

Qwen: Qwen3.5-122B-A10B vs Thinking Machines: Inkling Small

Compare Qwen: Qwen3.5-122B-A10B 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. Qwen: Qwen3.5-122B-A10B has more provider fallback routes, while Thinking Machines: Inkling Small has the larger context window. Probe-backed speed data is shown when enough recent samples exist.

$2.457/1MQwen: Qwen3.5-122B-A10B cheapest route

$1.575/1MThinking Machines: Inkling Small cheapest route

not enough dataQwen: Qwen3.5-122B-A10B measured p50 TTFT

not enough dataThinking Machines: Inkling Small measured p50 TTFT

Qwen: Qwen3.5-122B-A10BThinking Machines: Inkling Small

Model idqwen/qwen3.5-122b-a10bthinkingmachines/inkling-small

Publisher

DeepInfra

AI IQ — IQ 105#54

Context262,144 tokens524,288 tokens

Provider routes96

Cheapest route$2.457/1M$1.575/1M

Privacy postureprovider posture variesprovider posture varies

Modes chat chat

Qwen: Qwen3.5-122B-A10B routes

Overview9 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-azure.trustedrouter.com/v1",
    api_key="sk-tr-v1-..."
)

response = client.chat.completions.create(
    model="qwen/qwen3.5-122b-a10b",
    messages=messages,
)