Bring your own key

Meta Llama 3.1 8B Instruct vs Z.ai: GLM 5.2

One key routes both. Starter credit covers your first GLM 5.2 requests, while Meta Llama 3.1 8B Instruct runs on your own provider key. 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

Z.ai: GLM 5.2 has more Credits provider routes and the larger context window. A published Credits price comparison is not available for both models. There is not enough recent probe data to compare speed.

$0.0844/1MMeta Llama 3.1 8B Instruct cheapest route

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

not enough dataMeta Llama 3.1 8B Instruct fastest measured p50 TTFT

943 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.

Meta Llama 3.1 8B InstructZ.ai: GLM 5.2

Model idmeta-llama/Meta-Llama-3.1-8B-Instructz-ai/glm-5.2

Publisher Meta Z.AI

AI IQ — IQ 118#48

Context128,000 tokens1,048,576 tokens

Credits provider routes032

Cheapest route$0.0844/1M$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 data943 ms via friendli

Highest measured throughputnot enough data187 tok/s via venice

Recent route uptime rangenot enough data83.33% to 100.00%

Modes chat chat

Meta Llama 3.1 8B Instruct routes

Overview0 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="meta-llama/Meta-Llama-3.1-8B-Instruct",
    messages=messages,
)

Questions

Which should I use, Meta Llama 3.1 8B Instruct or Z.ai: GLM 5.2?

Is Meta Llama 3.1 8B Instruct or Z.ai: GLM 5.2 cheaper?

The current cheapest TrustedRouter route is $0.0844/1M for Meta Llama 3.1 8B Instruct and $2.2999/1M for Z.ai: GLM 5.2. The comparison uses current catalog prices and updates as provider pricing changes.

Is Meta Llama 3.1 8B Instruct or Z.ai: GLM 5.2 faster?

Current measured p50 time to first token is not enough data for Meta Llama 3.1 8B Instruct and 943 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 Meta Llama 3.1 8B Instruct 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 meta-llama/Meta-Llama-3.1-8B-Instruct and z-ai/glm-5.2. This makes side-by-side evals possible without maintaining two provider integrations.