OpenAI compatible API · Attested · Public status

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

Compare Meta: Llama 3.3 70B Instruct and Z.ai: GLM 5V Turbo by providers, context, price, and TrustedRouter route support.

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

Meta: Llama 3.3 70B Instruct has the lower cheapest prompt+completion route on TrustedRouter. Meta: Llama 3.3 70B Instruct has more provider fallback routes, while Z.ai: GLM 5V Turbo has the larger context window. Probe-backed speed data is shown when enough recent samples exist.

$0.56175/1MMeta: Llama 3.3 70B Instruct cheapest route

$5.46/1MZ.ai: GLM 5V Turbo cheapest route

not enough dataMeta: Llama 3.3 70B Instruct measured p50 TTFT

not enough dataZ.ai: GLM 5V Turbo measured p50 TTFT

Meta: Llama 3.3 70B InstructZ.ai: GLM 5V Turbo

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

PublisherCerebrasZ.AI

AI IQ — —

Context131,072 tokens202,752 tokens

Provider routes147

Cheapest route$0.56175/1M$5.46/1M

Privacy posturehas provider E2EE routeprovider posture varies

Modes chat chat

Meta: Llama 3.3 70B Instruct routes

Overview14 endpoints
PricingPrompt and completion rates
BenchmarksTrustedRouter and external sources
ProvidersAll serving providers

Z.ai: GLM 5V Turbo routes

Overview7 endpoints
PricingPrompt and completion rates
ProvidersAll serving providers

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://gchircrcif.eu-west-3.awsapprunner.com/v1",
    api_key="sk-tr-v1-..."
)

response = client.chat.completions.create(
    model="meta-llama/llama-3.3-70b-instruct",
    messages=messages,
)