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magistral-small-2509 vs Z.ai: GLM 5.2

Try both on us. Starter credit covers your first requests, then one key routes magistral-small-2509 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

magistral-small-2509 has the lower published input-plus-output rate. Z.ai: GLM 5.2 has more Credits provider routes and the larger context window. There is not enough recent probe data to compare speed.

$2.11/1Mmagistral-small-2509 cheapest route

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

not enough datamagistral-small-2509 fastest measured p50 TTFT

591 msZ.ai: GLM 5.2 fastest measured p50 TTFT via together

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.

magistral-small-2509Z.ai: GLM 5.2

Model idmistralai/magistral-small-2509z-ai/glm-5.2

Publisher Mistral Z.AI

AI IQ — IQ 118#50

Context4,096 tokens1,048,576 tokens

Credits provider routes132

Cheapest route$2.11/1M$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 data591 ms via together

Highest measured throughputnot enough data290 tok/s via telnyx

Recent route uptime range100.00%66.67% to 100.00%

Modes chat chat

magistral-small-2509 routes

Overview1 Credits routes

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.trustedrouter.com/v1",
    api_key="sk-tr-v1-..."
)

response = client.chat.completions.create(
    model="mistralai/magistral-small-2509",
    messages=messages,
)

Questions

Which should I use, magistral-small-2509 or Z.ai: GLM 5.2?

Is magistral-small-2509 or Z.ai: GLM 5.2 cheaper?

The current cheapest TrustedRouter route is $2.11/1M for magistral-small-2509 and $2.2999/1M for Z.ai: GLM 5.2. The comparison uses current catalog prices and updates as provider pricing changes.

Is magistral-small-2509 or Z.ai: GLM 5.2 faster?

Current measured p50 time to first token is not enough data for magistral-small-2509 and 591 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 magistral-small-2509 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 mistralai/magistral-small-2509 and z-ai/glm-5.2. This makes side-by-side evals possible without maintaining two provider integrations.