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Meta: Llama 3.3 70B Instruct vs Z.ai: GLM 5

Try both on us. Starter credit covers your first requests, then one key routes Llama 3.3 70B Instruct and GLM 5. 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 3.3 70B Instruct has the lower published input-plus-output rate and more Credits provider routes. Z.ai: GLM 5 has the larger context window and the lower measured p50 time to first token.

$0.564425/1MMeta: Llama 3.3 70B Instruct cheapest route

$3.6925/1MZ.ai: GLM 5 cheapest route

1433 msMeta: Llama 3.3 70B Instruct fastest measured p50 TTFT via sambanova

1424 msZ.ai: GLM 5 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 3.3 70B InstructZ.ai: GLM 5

Model idmeta-llama/llama-3.3-70b-instructz-ai/glm-5

Publisher Meta Z.AI

AI IQ — IQ 106#94

Context131,072 tokens202,752 tokens

Credits provider routes108

Cheapest route$0.564425/1M$3.6925/1M

Cached input$0.1055/1M to $0.633/1M$0.20045/1M to $0.45365/1M

Privacy posturehas Confidential route (E2EE + ZDR)has ZDR route

Fastest measured p50 TTFT1433 ms via sambanova1424 ms via zai

Highest measured throughputnot enough datanot enough data

Recent route uptime range100.00%100.00%

Modes chat decide chat

Meta: Llama 3.3 70B Instruct routes

Overview10 Credits routes
PricingInput, cached input, and output rates
BenchmarksTrustedRouter and external sources
ProvidersAll serving providers

Z.ai: GLM 5 routes

Overview8 Credits routes
PricingInput, cached input, and output rates
BenchmarksTrustedRouter and external sources
ProvidersAll serving providers

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Z.ai: GLM 5 vs Z.ai: GLM 5.341 combined provider routes
Z.ai: GLM 5 vs Z.ai: GLM 5.240 combined provider routes
Z.ai: GLM 5 vs Z.ai: GLM 5.3 Flash40 combined provider routes
Meta: Llama 3.3 70B Instruct vs MoonshotAI: Kimi K338 combined provider routes
DeepSeek: DeepSeek V4 Flash 0731 vs Meta: Llama 3.3 70B Instruct36 combined provider routes

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-3.3-70b-instruct",
    messages=messages,
)

Questions

Which should I use, Meta: Llama 3.3 70B Instruct or Z.ai: GLM 5?

Meta: Llama 3.3 70B Instruct has the lower published input-plus-output rate and more Credits provider routes. Z.ai: GLM 5 has the larger context window and the lower measured p50 time to first token.

Is Meta: Llama 3.3 70B Instruct or Z.ai: GLM 5 cheaper?

The current cheapest TrustedRouter route is $0.564425/1M for Meta: Llama 3.3 70B Instruct and $3.6925/1M for Z.ai: GLM 5. The comparison uses current catalog prices and updates as provider pricing changes.

Is Meta: Llama 3.3 70B Instruct or Z.ai: GLM 5 faster?

Current measured p50 time to first token is 1433 ms for Meta: Llama 3.3 70B Instruct and 1424 ms for Z.ai: GLM 5. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test Meta: Llama 3.3 70B Instruct and Z.ai: GLM 5 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-3.3-70b-instruct and z-ai/glm-5. This makes side-by-side evals possible without maintaining two provider integrations.