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Qwen: Qwen3.5-9B vs Z.ai: GLM 5V Turbo

Try both on us. Starter credit covers your first requests, then one key routes Qwen3.5-9B and GLM 5V Turbo. 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, more Credits provider routes and the larger context window. There is not enough recent probe data to compare speed.

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

$5.486/1MZ.ai: GLM 5V Turbo cheapest route

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

not enough dataZ.ai: GLM 5V Turbo 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: Qwen3.5-9BZ.ai: GLM 5V Turbo

Model idqwen/qwen3.5-9bz-ai/glm-5v-turbo

Publisher Alibaba Cloud Model Studio Z.AI

AI IQ IQ 96#139 —

Context262,144 tokens202,752 tokens

Credits provider routes73

Cheapest route$0.110775/1M$5.486/1M

Cached input$0.0211/1M$0.2532/1M to $0.3165/1M

Privacy posturehas ZDR routeprovider posture varies

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

Z.ai: GLM 5V Turbo routes

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

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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 Z.ai: GLM 5V Turbo?

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

Is Qwen: Qwen3.5-9B or Z.ai: GLM 5V Turbo cheaper?

The current cheapest TrustedRouter route is $0.110775/1M for Qwen: Qwen3.5-9B and $5.486/1M for Z.ai: GLM 5V Turbo. The comparison uses current catalog prices and updates as provider pricing changes.

Is Qwen: Qwen3.5-9B or Z.ai: GLM 5V Turbo faster?

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

Can I test Qwen: Qwen3.5-9B and Z.ai: GLM 5V Turbo 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 z-ai/glm-5v-turbo. This makes side-by-side evals possible without maintaining two provider integrations.