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Meta: Llama 3.1 8B Instruct vs Z.ai: GLM 5V Turbo

Try both on us. Starter credit covers your first requests, then one key routes Llama 3.1 8B Instruct and GLM 5V Turbo. 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 3.1 8B Instruct has the lower published input-plus-output rate, more Credits provider routes and the lower measured p50 time to first token. Z.ai: GLM 5V Turbo has the larger context window.

$0.07385/1MMeta: Llama 3.1 8B Instruct cheapest route

$5.486/1MZ.ai: GLM 5V Turbo cheapest route

1180 msMeta: Llama 3.1 8B Instruct fastest measured p50 TTFT via wandb

2682 msZ.ai: GLM 5V Turbo fastest measured p50 TTFT via zai

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 5V Turbo

Model idmeta-llama/llama-3.1-8b-instructz-ai/glm-5v-turbo

Publisher Meta Z.AI

AI IQ — —

Context131,072 tokens202,752 tokens

Credits provider routes53

Cheapest route$0.07385/1M$5.486/1M

Cached input$0.211/1M$0.2532/1M to $0.3165/1M

Privacy posturehas ZDR routeprovider posture varies

Fastest measured p50 TTFT1180 ms via wandb2682 ms via zai

Highest measured throughputnot enough datanot enough data

Recent route uptime range0.00% to 100.00%100.00%

Modes chat chat

Meta: Llama 3.1 8B Instruct routes

Overview5 Credits routes
PricingInput, cached input, and output rates
ProvidersAll serving providers

Z.ai: GLM 5V Turbo routes

Overview3 Credits routes
PricingInput, cached input, and output rates
ProvidersAll serving providers

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Meta: Llama 3.1 8B Instruct vs MoonshotAI: Kimi K333 combined provider 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 5V Turbo?

Is Meta: Llama 3.1 8B Instruct or Z.ai: GLM 5V Turbo cheaper?

The current cheapest TrustedRouter route is $0.07385/1M for Meta: Llama 3.1 8B Instruct and $5.486/1M for Z.ai: GLM 5V Turbo. The comparison uses current catalog prices and updates as provider pricing changes.

Is Meta: Llama 3.1 8B Instruct or Z.ai: GLM 5V Turbo faster?

Current measured p50 time to first token is 1180 ms for Meta: Llama 3.1 8B Instruct and 2682 ms for Z.ai: GLM 5V Turbo. 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 5V Turbo 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-5v-turbo. This makes side-by-side evals possible without maintaining two provider integrations.