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Meta: Llama 3.1 8B Instruct vs Z.ai: GLM 4.7 Flash

Try both on us. Starter credit covers your first requests, then one key routes Llama 3.1 8B Instruct and GLM 4.7 Flash. 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. Z.ai: GLM 4.7 Flash has more Credits provider routes and the lower measured p50 time to first token. Their context windows are the same size.

$0.07385/1MMeta: Llama 3.1 8B Instruct cheapest route
$0.4853/1MZ.ai: GLM 4.7 Flash cheapest route
1319 msMeta: Llama 3.1 8B Instruct fastest measured p50 TTFT via wandb
886 msZ.ai: GLM 4.7 Flash fastest measured p50 TTFT via greenference

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 4.7 Flash
Model idmeta-llama/llama-3.1-8b-instructz-ai/glm-4.7-flash
Publisher Meta Z.AI
AI IQ — —
Context131,072 tokens131,072 tokens
Credits provider routes56
Cheapest route$0.07385/1M$0.4853/1M
Cached input$0.211/1M$0.01055/1M to $0.03442/1M
Privacy posturehas ZDR routehas ZDR route
Fastest measured p50 TTFT1319 ms via wandb886 ms via greenference
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

Z.ai: GLM 4.7 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 4.7 Flash?

Meta: Llama 3.1 8B Instruct has the lower published input-plus-output rate. Z.ai: GLM 4.7 Flash has more Credits provider routes and the lower measured p50 time to first token. Their context windows are the same size.

Is Meta: Llama 3.1 8B Instruct or Z.ai: GLM 4.7 Flash cheaper?

The current cheapest TrustedRouter route is $0.07385/1M for Meta: Llama 3.1 8B Instruct and $0.4853/1M for Z.ai: GLM 4.7 Flash. The comparison uses current catalog prices and updates as provider pricing changes.

Is Meta: Llama 3.1 8B Instruct or Z.ai: GLM 4.7 Flash faster?

Current measured p50 time to first token is 1319 ms for Meta: Llama 3.1 8B Instruct and 886 ms for Z.ai: GLM 4.7 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 4.7 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-4.7-flash. This makes side-by-side evals possible without maintaining two provider integrations.

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