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Qwen: Qwen3.8 2.4T A95B vs Z.ai: GLM 5.2

Try both on us. Starter credit covers your first requests, then one key routes Qwen3.8 2.4T A95B 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.

$5.275/1MQwen: Qwen3.8 2.4T A95B cheapest route

$2.2999/1MZ.ai: GLM 5.2 cheapest route

not enough dataQwen: Qwen3.8 2.4T A95B fastest measured p50 TTFT

not enough dataZ.ai: GLM 5.2 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: Qwen3.8 2.4T A95BZ.ai: GLM 5.2

Model idqwen/qwen3.8-2.4t-a95bz-ai/glm-5.2

Publisher Alibaba Cloud Model Studio Z.AI

AI IQ IQ 123#32 IQ 118#48

Context1,000,000 tokens1,048,576 tokens

Credits provider routes632

Cheapest route$5.275/1M$2.2999/1M

Cached input$0.26375/1M to $0.66465/1M$0.131875/1M to $0.84611/1M

Privacy posturehas ZDR routehas Confidential route (E2EE + ZDR)

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: Qwen3.8 2.4T A95B routes

Overview6 Credits routes
PricingInput, cached input, and output rates
ProvidersAll serving providers

Z.ai: GLM 5.2 routes

Overview32 Credits routes
PricingInput, cached input, and output rates
BenchmarksTrustedRouter and external sources
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/qwen3.8-2.4t-a95b",
    messages=messages,
)

Questions

Which should I use, Qwen: Qwen3.8 2.4T A95B 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 Qwen: Qwen3.8 2.4T A95B or Z.ai: GLM 5.2 cheaper?

The current cheapest TrustedRouter route is $5.275/1M for Qwen: Qwen3.8 2.4T A95B and $2.2999/1M for Z.ai: GLM 5.2. The comparison uses current catalog prices and updates as provider pricing changes.

Is Qwen: Qwen3.8 2.4T A95B or Z.ai: GLM 5.2 faster?

Current measured p50 time to first token is not enough data for Qwen: Qwen3.8 2.4T A95B and not enough data 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: Qwen3.8 2.4T A95B 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/qwen3.8-2.4t-a95b and z-ai/glm-5.2. This makes side-by-side evals possible without maintaining two provider integrations.