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Meta: Llama 4 Maverick vs Z.ai: GLM 5.3

Try both on us. Starter credit covers your first requests, then one key routes Llama 4 Maverick 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

Meta: Llama 4 Maverick has the lower published input-plus-output rate. Z.ai: GLM 5.3 has more Credits provider routes, the larger context window and the lower measured p50 time to first token.

$1.1816/1MMeta: Llama 4 Maverick cheapest route
$3.458818/1MZ.ai: GLM 5.3 cheapest route
1183 msMeta: Llama 4 Maverick fastest measured p50 TTFT via digitalocean
1068 msZ.ai: GLM 5.3 fastest measured p50 TTFT via thinkingmachines

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.

Meta: Llama 4 MaverickZ.ai: GLM 5.3
Model idmeta-llama/llama-4-maverickz-ai/glm-5.3
Publisher Meta Z.AI
Context128,000 tokens1,048,576 tokens
Credits provider routes333
Cheapest route$1.1816/1M$3.458818/1M
Cached input$0.05275/1M to $0.17935/1M$0.1055/1M to $0.84189/1M
Privacy posturehas ZDR routehas Confidential route (E2EE + ZDR)
Fastest measured p50 TTFT1183 ms via digitalocean1068 ms via thinkingmachines
Highest measured throughputnot enough data196 tok/s via thinkingmachines
Recent route uptime range100.00%85.71% to 100.00%
Modes chat chat

Meta: Llama 4 Maverick routes

Z.ai: GLM 5.3 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="meta-llama/llama-4-maverick",
    messages=messages,
)

Questions

Which should I use, Meta: Llama 4 Maverick or Z.ai: GLM 5.3?

Meta: Llama 4 Maverick has the lower published input-plus-output rate. Z.ai: GLM 5.3 has more Credits provider routes, the larger context window and the lower measured p50 time to first token.

Is Meta: Llama 4 Maverick or Z.ai: GLM 5.3 cheaper?

The current cheapest TrustedRouter route is $1.1816/1M for Meta: Llama 4 Maverick and $3.458818/1M for Z.ai: GLM 5.3. The comparison uses current catalog prices and updates as provider pricing changes.

Is Meta: Llama 4 Maverick or Z.ai: GLM 5.3 faster?

Current measured p50 time to first token is 1183 ms for Meta: Llama 4 Maverick and 1068 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 Meta: Llama 4 Maverick 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 meta-llama/llama-4-maverick and z-ai/glm-5.3. This makes side-by-side evals possible without maintaining two provider integrations.

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