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Mistral: Codestral 2508 vs Z.ai: GLM 5.3

Try both on us. Starter credit covers your first requests, then one key routes Codestral 2508 and GLM 5.3. 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

Codestral 2508 has the lower published input-plus-output rate. Z.ai: GLM 5.3 has more Credits provider routes and the larger context window. There is not enough recent probe data to compare speed.

$1.266/1MMistral: Codestral 2508 cheapest route

$3.458818/1MZ.ai: GLM 5.3 cheapest route

not enough dataMistral: Codestral 2508 fastest measured p50 TTFT

1082 msZ.ai: GLM 5.3 fastest measured p50 TTFT via engy

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.

Mistral: Codestral 2508Z.ai: GLM 5.3

Model idmistralai/codestral-2508z-ai/glm-5.3

Publisher Mistral Z.AI

AI IQ — IQ 124#27

Context256,000 tokens1,048,576 tokens

Credits provider routes133

Cheapest route$1.266/1M$3.458818/1M

Cached input$0.03165/1M$0.1055/1M to $0.84189/1M

Privacy postureprovider posture varieshas Confidential route (E2EE + ZDR)

Fastest measured p50 TTFTnot enough data1082 ms via engy

Highest measured throughputnot enough data203 tok/s via thinkingmachines

Recent route uptime range100.00%100.00%

Modes chat chat

Mistral: Codestral 2508 routes

Overview1 Credits routes

Z.ai: GLM 5.3 routes

Overview33 Credits routes
PricingInput, cached input, and output rates
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/codestral-2508",
    messages=messages,
)

Questions

Which should I use, Mistral: Codestral 2508 or Z.ai: GLM 5.3?

Codestral 2508 has the lower published input-plus-output rate. Z.ai: GLM 5.3 has more Credits provider routes and the larger context window. There is not enough recent probe data to compare speed.

Is Mistral: Codestral 2508 or Z.ai: GLM 5.3 cheaper?

The current cheapest TrustedRouter route is $1.266/1M for Mistral: Codestral 2508 and $3.458818/1M for Z.ai: GLM 5.3. The comparison uses current catalog prices and updates as provider pricing changes.

Is Mistral: Codestral 2508 or Z.ai: GLM 5.3 faster?

Current measured p50 time to first token is not enough data for Mistral: Codestral 2508 and 1082 ms for Z.ai: GLM 5.3. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test Mistral: Codestral 2508 and Z.ai: GLM 5.3 with the same API?

Yes. Use the same OpenAI-compatible TrustedRouter base URL and API key, then change only the model id between mistralai/codestral-2508 and z-ai/glm-5.3. This makes side-by-side evals possible without maintaining two provider integrations.