Free to start

Qwen: Qwen3.5-35B-A3B vs Thinking Machines: Inkling

Try both on us. Starter credit covers your first requests, then one key routes Qwen3.5-35B-A3B 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: Qwen3.5-35B-A3B 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.

$1.2027/1MQwen: Qwen3.5-35B-A3B cheapest route

$5.32775/1MThinking Machines: Inkling cheapest route

not enough dataQwen: Qwen3.5-35B-A3B 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: Qwen3.5-35B-A3BThinking Machines: Inkling

Model idqwen/qwen3.5-35b-a3bthinkingmachines/inkling

Publisher Alibaba Cloud Model Studio Thinking Machines Lab

AI IQ — IQ 107#88

Context262,144 tokens524,288 tokens

Credits provider routes53

Cheapest route$1.2027/1M$5.32775/1M

Cached input$0.026375/1M to $0.237375/1M$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: Qwen3.5-35B-A3B routes

Overview5 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

Related comparisons

Browse every comparison

Qwen: Qwen3.5-35B-A3B vs Z.ai: GLM 5.338 combined provider routes
Qwen: Qwen3.5-35B-A3B vs Z.ai: GLM 5.237 combined provider routes
Qwen: Qwen3.5-35B-A3B vs Z.ai: GLM 5.3 Flash37 combined provider routes
Thinking Machines: Inkling vs Z.ai: GLM 5.336 combined provider routes
Thinking Machines: Inkling vs Z.ai: GLM 5.235 combined provider routes
Thinking Machines: Inkling vs Z.ai: GLM 5.3 Flash35 combined provider routes
MoonshotAI: Kimi K3 vs Qwen: Qwen3.5-35B-A3B33 combined provider routes
DeepSeek: DeepSeek V4 Flash 0731 vs Qwen: Qwen3.5-35B-A3B31 combined provider routes

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/qwen3.5-35b-a3b",
    messages=messages,
)

Questions

Which should I use, Qwen: Qwen3.5-35B-A3B or Thinking Machines: Inkling?

Is Qwen: Qwen3.5-35B-A3B or Thinking Machines: Inkling cheaper?

The current cheapest TrustedRouter route is $1.2027/1M for Qwen: Qwen3.5-35B-A3B and $5.32775/1M for Thinking Machines: Inkling. The comparison uses current catalog prices and updates as provider pricing changes.

Is Qwen: Qwen3.5-35B-A3B or Thinking Machines: Inkling faster?

Current measured p50 time to first token is not enough data for Qwen: Qwen3.5-35B-A3B 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: Qwen3.5-35B-A3B 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/qwen3.5-35b-a3b and thinkingmachines/inkling. This makes side-by-side evals possible without maintaining two provider integrations.