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OpenAI compatible API · Attested · Public status

Meta: Llama 3.1 8B Instruct vs Z.ai: GLM 5.3 Flash

Meta: Llama 3.1 8B Instruct vs Z.ai: GLM 5.3 Flash: compare current API pricing, context, provider routes, privacy, p50 latency, and OpenAI-compatible access.

Verify gateway
Onebase URL to migrate
100sof models and routes
0prompt or output logs. Always.
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 3.1 8B Instruct has the lower published input-plus-output rate. Z.ai: GLM 5.3 Flash has more Credits provider routes, the larger context window and the lower measured p50 time to first token.

$0.07385/1MMeta: Llama 3.1 8B Instruct cheapest route
$0.32705/1MZ.ai: GLM 5.3 Flash cheapest route
765 msMeta: Llama 3.1 8B Instruct fastest measured p50 TTFT via wandb
626 msZ.ai: GLM 5.3 Flash fastest measured p50 TTFT via wafer

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 3.1 8B InstructZ.ai: GLM 5.3 Flash
Model idmeta-llama/llama-3.1-8b-instructz-ai/glm-5.3-flash
Publisher Meta Z.AI
AI IQ — IQ 120#40
Context131,072 tokens1,048,576 tokens
Credits provider routes431
Cheapest route$0.07385/1M$0.32705/1M
Cached input$0.211/1M$0.015825/1M to $0.110775/1M
Privacy posturehas ZDR routehas Confidential route (E2EE + ZDR)
Fastest measured p50 TTFT765 ms via wandb626 ms via wafer
Highest measured throughputnot enough datanot enough data
Recent route uptime range100.00%0.00% to 100.00%
Modes chat chat

Meta: Llama 3.1 8B Instruct routes

Z.ai: GLM 5.3 Flash 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-3.1-8b-instruct",
    messages=messages,
)

Questions

Which should I use, Meta: Llama 3.1 8B Instruct or Z.ai: GLM 5.3 Flash?

Meta: Llama 3.1 8B Instruct has the lower published input-plus-output rate. Z.ai: GLM 5.3 Flash has more Credits provider routes, the larger context window and the lower measured p50 time to first token.

Is Meta: Llama 3.1 8B Instruct or Z.ai: GLM 5.3 Flash cheaper?

The current cheapest TrustedRouter route is $0.07385/1M for Meta: Llama 3.1 8B Instruct and $0.32705/1M for Z.ai: GLM 5.3 Flash. The comparison uses current catalog prices and updates as provider pricing changes.

Is Meta: Llama 3.1 8B Instruct or Z.ai: GLM 5.3 Flash faster?

Current measured p50 time to first token is 765 ms for Meta: Llama 3.1 8B Instruct and 626 ms for Z.ai: GLM 5.3 Flash. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test Meta: Llama 3.1 8B Instruct and Z.ai: GLM 5.3 Flash 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-3.1-8b-instruct and z-ai/glm-5.3-flash. This makes side-by-side evals possible without maintaining two provider integrations.

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