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qwen3-coder-480b-a35b-instruct vs Z.ai: GLM 5.2

Try both on us. Starter credit covers your first requests, then one key routes qwen3-coder-480b-a35b-instruct 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

Z.ai: GLM 5.2 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.

$2.37375/1Mqwen3-coder-480b-a35b-instruct cheapest route
$2.2999/1MZ.ai: GLM 5.2 cheapest route
not enough dataqwen3-coder-480b-a35b-instruct fastest measured p50 TTFT
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.

qwen3-coder-480b-a35b-instructZ.ai: GLM 5.2
Model idqwen/qwen3-coder-480b-a35b-instructz-ai/glm-5.2
AI IQ — IQ 118#48
Context256,000 tokens1,048,576 tokens
Credits provider routes132
Cheapest route$2.37375/1M$2.2999/1M
Cached inputNot published$0.131875/1M to $0.84611/1M
Privacy postureprovider posture varieshas Confidential route (E2EE + ZDR)
Fastest measured p50 TTFTnot enough data943 ms via friendli
Highest measured throughputnot enough data187 tok/s via venice
Recent route uptime rangenot enough data83.33% to 100.00%
Modes chat chat

qwen3-coder-480b-a35b-instruct 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",
    messages=messages,
)

Questions

Which should I use, qwen3-coder-480b-a35b-instruct or Z.ai: GLM 5.2?

Z.ai: GLM 5.2 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 qwen3-coder-480b-a35b-instruct or Z.ai: GLM 5.2 cheaper?

The current cheapest TrustedRouter route is $2.37375/1M for qwen3-coder-480b-a35b-instruct and $2.2999/1M for Z.ai: GLM 5.2. The comparison uses current catalog prices and updates as provider pricing changes.

Is qwen3-coder-480b-a35b-instruct or Z.ai: GLM 5.2 faster?

Current measured p50 time to first token is not enough data for qwen3-coder-480b-a35b-instruct 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 qwen3-coder-480b-a35b-instruct 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 and z-ai/glm-5.2. This makes side-by-side evals possible without maintaining two provider integrations.

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