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Reflection: Beam 1.0 501B A23B vs Z.ai: GLM 5.2

Try both on us. Starter credit covers your first requests, then one key routes Beam 1.0 501B A23B 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

Reflection: Beam 1.0 501B A23B has the lower published input-plus-output rate. Z.ai: GLM 5.2 has more Credits provider routes. Their context windows are the same size. There is not enough recent probe data to compare speed.

$1.55085/1MReflection: Beam 1.0 501B A23B cheapest route
$2.2999/1MZ.ai: GLM 5.2 cheapest route
not enough dataReflection: Beam 1.0 501B A23B fastest measured p50 TTFT
658 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.

Reflection: Beam 1.0 501B A23BZ.ai: GLM 5.2
Model idreflection/beam-1.0-501b-a23bz-ai/glm-5.2
Publisherreflection Z.AI
AI IQ — IQ 118#53
Context1,048,576 tokens1,048,576 tokens
Credits provider routes133
Cheapest route$1.55085/1M$2.2999/1M
Cached input$0.184625/1M$0.131875/1M to $0.758545/1M
Privacy postureprovider posture varieshas Confidential route (E2EE + ZDR)
Fastest measured p50 TTFTnot enough data658 ms via friendli
Highest measured throughputnot enough data238 tok/s via telnyx
Recent route uptime rangenot enough data57.14% to 100.00%
Modes chat chat

Reflection: Beam 1.0 501B A23B 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="reflection/beam-1.0-501b-a23b",
    messages=messages,
)

Questions

Which should I use, Reflection: Beam 1.0 501B A23B or Z.ai: GLM 5.2?

Reflection: Beam 1.0 501B A23B has the lower published input-plus-output rate. Z.ai: GLM 5.2 has more Credits provider routes. Their context windows are the same size. There is not enough recent probe data to compare speed.

Is Reflection: Beam 1.0 501B A23B or Z.ai: GLM 5.2 cheaper?

The current cheapest TrustedRouter route is $1.55085/1M for Reflection: Beam 1.0 501B A23B and $2.2999/1M for Z.ai: GLM 5.2. The comparison uses current catalog prices and updates as provider pricing changes.

Is Reflection: Beam 1.0 501B A23B or Z.ai: GLM 5.2 faster?

Current measured p50 time to first token is not enough data for Reflection: Beam 1.0 501B A23B and 658 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 Reflection: Beam 1.0 501B A23B 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 reflection/beam-1.0-501b-a23b and z-ai/glm-5.2. This makes side-by-side evals possible without maintaining two provider integrations.

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