Free to start

Qwen: Qwen3.5-9B vs Thinking Machines: Inkling

Try both on us. Starter credit covers your first requests, then one key routes Qwen3.5-9B and Inkling. Switch by changing the model name.

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

Monthly evidence

Qwen: Qwen3.5-9B has the lower published input-plus-output rate and more Credits provider routes. Thinking Machines: Inkling has the larger context window. There is not enough recent probe data to compare speed.

$0.110775/1MQwen: Qwen3.5-9B cheapest route

$5.32775/1MThinking Machines: Inkling cheapest route

not enough dataQwen: Qwen3.5-9B fastest measured p50 TTFT

not enough dataThinking Machines: Inkling fastest measured p50 TTFT

The price comparison adds each route's rate for one million input tokens and one million output tokens; your cost depends on your input/output mix. Prices and live route measurements can change. Use the monthly reports when you need a stable evidence window, then run a small task-specific eval before choosing a production default.

Qwen: Qwen3.5-9BThinking Machines: Inkling

Model idqwen/qwen3.5-9bthinkingmachines/inkling

Publisher Alibaba Cloud Model Studio Thinking Machines Lab

AI IQ IQ 96#139 IQ 107#88

Context262,144 tokens524,288 tokens

Credits provider routes73

Cheapest route$0.110775/1M$5.32775/1M

Cached input$0.0211/1M$0.17935/1M

Privacy posturehas ZDR routehas ZDR route

Fastest measured p50 TTFTnot enough datanot enough data

Highest measured throughputnot enough datanot enough data

Recent route uptime rangenot enough datanot enough data

Modes chat chat

Qwen: Qwen3.5-9B routes

Overview7 Credits routes
PricingInput, cached input, and output rates
ProvidersAll serving providers

Thinking Machines: Inkling routes

Overview3 Credits routes
PricingInput, cached input, and output rates
ProvidersAll serving providers

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Thinking Machines: Inkling vs Z.ai: GLM 5.336 combined provider routes
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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/qwen3.5-9b",
    messages=messages,
)

Questions

Which should I use, Qwen: Qwen3.5-9B or Thinking Machines: Inkling?

Is Qwen: Qwen3.5-9B or Thinking Machines: Inkling cheaper?

The current cheapest TrustedRouter route is $0.110775/1M for Qwen: Qwen3.5-9B and $5.32775/1M for Thinking Machines: Inkling. The comparison uses current catalog prices and updates as provider pricing changes.

Is Qwen: Qwen3.5-9B or Thinking Machines: Inkling faster?

Current measured p50 time to first token is not enough data for Qwen: Qwen3.5-9B and not enough data for Thinking Machines: Inkling. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test Qwen: Qwen3.5-9B and Thinking Machines: Inkling with the same API?

Yes. Use the same OpenAI-compatible TrustedRouter base URL and API key, then change only the model id between qwen/qwen3.5-9b and thinkingmachines/inkling. This makes side-by-side evals possible without maintaining two provider integrations.