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Qwen/Qwen3-Coder-480B-A35B-Instruct-Turbo vs Z.ai: GLM 5.2

Try both on us. Starter credit covers your first requests, then one key routes Qwen/Qwen3-Coder-480B-A35B-Instruct-Turbo and GLM 5.2. 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-Coder-480B-A35B-Instruct-Turbo has the lower published input-plus-output rate. Z.ai: GLM 5.2 has more Credits provider routes, the larger context window and the lower measured p50 time to first token.

$1.3715/1MQwen/Qwen3-Coder-480B-A35B-Instruct-Turbo cheapest route
$2.2999/1MZ.ai: GLM 5.2 cheapest route
2390 msQwen/Qwen3-Coder-480B-A35B-Instruct-Turbo fastest measured p50 TTFT via deepinfra
943 msZ.ai: GLM 5.2 fastest measured p50 TTFT via friendli

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-Coder-480B-A35B-Instruct-TurboZ.ai: GLM 5.2
Model idqwen/qwen3-coder-480b-a35b-instruct-turboz-ai/glm-5.2
AI IQ — IQ 118#48
Context262,144 tokens1,048,576 tokens
Credits provider routes232
Cheapest route$1.3715/1M$2.2999/1M
Cached input$0.0422/1M to $0.1055/1M$0.131875/1M to $0.84611/1M
Privacy postureprovider posture varieshas Confidential route (E2EE + ZDR)
Fastest measured p50 TTFT2390 ms via deepinfra943 ms via friendli
Highest measured throughputnot enough data187 tok/s via venice
Recent route uptime range100.00%85.71% to 100.00%
Modes chat chat

Qwen/Qwen3-Coder-480B-A35B-Instruct-Turbo routes

Z.ai: GLM 5.2 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.trustedrouter.com/v1",
    api_key="sk-tr-v1-..."
)

response = client.chat.completions.create(
    model="qwen/qwen3-coder-480b-a35b-instruct-turbo",
    messages=messages,
)

Questions

Which should I use, Qwen/Qwen3-Coder-480B-A35B-Instruct-Turbo or Z.ai: GLM 5.2?

Qwen/Qwen3-Coder-480B-A35B-Instruct-Turbo has the lower published input-plus-output rate. Z.ai: GLM 5.2 has more Credits provider routes, the larger context window and the lower measured p50 time to first token.

Is Qwen/Qwen3-Coder-480B-A35B-Instruct-Turbo or Z.ai: GLM 5.2 cheaper?

The current cheapest TrustedRouter route is $1.3715/1M for Qwen/Qwen3-Coder-480B-A35B-Instruct-Turbo and $2.2999/1M for Z.ai: GLM 5.2. The comparison uses current catalog prices and updates as provider pricing changes.

Is Qwen/Qwen3-Coder-480B-A35B-Instruct-Turbo or Z.ai: GLM 5.2 faster?

Current measured p50 time to first token is 2390 ms for Qwen/Qwen3-Coder-480B-A35B-Instruct-Turbo and 943 ms for Z.ai: GLM 5.2. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test Qwen/Qwen3-Coder-480B-A35B-Instruct-Turbo and Z.ai: GLM 5.2 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-coder-480b-a35b-instruct-turbo and z-ai/glm-5.2. This makes side-by-side evals possible without maintaining two provider integrations.

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