OpenAI compatible API · Attested · Public status

Z.ai: GLM 5.1 vs Qwen: Qwen3 235B A22B Thinking 2507

Compare Z.ai: GLM 5.1 and Qwen: Qwen3 235B A22B Thinking 2507 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

Qwen: Qwen3 235B A22B Thinking 2507 has the lower cheapest prompt+completion route on TrustedRouter. Z.ai: GLM 5.1 has more provider fallback routes, while Qwen: Qwen3 235B A22B Thinking 2507 has the larger context window. Current TrustedRouter probes show Qwen: Qwen3 235B A22B Thinking 2507 with the lower p50 TTFT.

$4.263/1MZ.ai: GLM 5.1 cheapest route

$1.56933/1MQwen: Qwen3 235B A22B Thinking 2507 cheapest route

3558 msZ.ai: GLM 5.1 measured p50 TTFT

1536 msQwen: Qwen3 235B A22B Thinking 2507 measured p50 TTFT

Z.ai: GLM 5.1Qwen: Qwen3 235B A22B Thinking 2507

Model idz-ai/glm-5.1qwen/qwen3-235b-a22b-thinking-2507

PublisherZ.AIDeepInfra

AI IQ IQ 114#32 —

Context204,800 tokens262,144 tokens

Provider routes238

Cheapest route$4.263/1M$1.56933/1M

Privacy posturehas provider E2EE routehas provider E2EE route

Modes chat chat

Z.ai: GLM 5.1 routes

Overview23 endpoints
PricingPrompt and completion rates
BenchmarksTrustedRouter and external sources
ProvidersAll serving providers

Qwen: Qwen3 235B A22B Thinking 2507 routes

Overview8 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://api.trustedrouter.com/v1",
    api_key="sk-tr-v1-..."
)

response = client.chat.completions.create(
    model="z-ai/glm-5.1",
    messages=messages,
)