OpenAI compatible API · Attested · Public status

Qwen: Qwen3 235B A22B Thinking 2507 vs Z.ai: GLM 4.7 Flash

Compare Qwen: Qwen3 235B A22B Thinking 2507 and Z.ai: GLM 4.7 Flash 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

Z.ai: GLM 4.7 Flash has the lower cheapest prompt+completion route on TrustedRouter. Qwen: Qwen3 235B A22B Thinking 2507 has more provider fallback routes, while Qwen: Qwen3 235B A22B Thinking 2507 has the larger context window. Probe-backed speed data is shown when enough recent samples exist.

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

$0.483/1MZ.ai: GLM 4.7 Flash cheapest route

not enough dataQwen: Qwen3 235B A22B Thinking 2507 measured p50 TTFT

not enough dataZ.ai: GLM 4.7 Flash measured p50 TTFT

Qwen: Qwen3 235B A22B Thinking 2507Z.ai: GLM 4.7 Flash

Model idqwen/qwen3-235b-a22b-thinking-2507z-ai/glm-4.7-flash

PublisherDeepInfraZ.AI

AI IQ — —

Context262,144 tokens202,752 tokens

Provider routes96

Cheapest route$1.56933/1M$0.483/1M

Privacy posturehas confidential-compute routehas ZDR route

Modes chat chat

Qwen: Qwen3 235B A22B Thinking 2507 routes

Overview9 endpoints
PricingPrompt and completion rates
ProvidersAll serving providers

Z.ai: GLM 4.7 Flash routes

Overview6 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="qwen/qwen3-235b-a22b-thinking-2507",
    messages=messages,
)