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OpenAI compatible API · Attested · Public status

Qwen: Qwen3.6 27B vs Z.ai: GLM 5.3 Flash

Z.ai: GLM 5.3 Flash has the lower published input-plus-output rate, more Credits provider routes, the larger context window and the lower measured p50 time to first token. Compare price, speed, context, and privacy.

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

Monthly evidence

Z.ai: GLM 5.3 Flash has the lower published input-plus-output rate, more Credits provider routes, the larger context window and the lower measured p50 time to first token.

$1.5825/1MQwen: Qwen3.6 27B cheapest route
$0.32705/1MZ.ai: GLM 5.3 Flash cheapest route
1655 msQwen: Qwen3.6 27B fastest measured p50 TTFT via greenference
910 msZ.ai: GLM 5.3 Flash fastest measured p50 TTFT via deepinfra

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.

Qwen: Qwen3.6 27BZ.ai: GLM 5.3 Flash
Model idqwen/qwen3.6-27bz-ai/glm-5.3-flash
Context262,144 tokens1,048,576 tokens
Credits provider routes933
Cheapest route$1.5825/1M$0.32705/1M
Cached input$0.026375/1M to $0.177768/1M$0.015825/1M to $0.076488/1M
Privacy posturehas Confidential route (E2EE + ZDR)has Confidential route (E2EE + ZDR)
Fastest measured p50 TTFT1655 ms via greenference910 ms via deepinfra
Highest measured throughputnot enough datanot enough data
Recent route uptime range100.00%0.00% to 100.00%
Modes chat chat

Qwen: Qwen3.6 27B routes

Z.ai: GLM 5.3 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="qwen/qwen3.6-27b",
    messages=messages,
)

Questions

Which should I use, Qwen: Qwen3.6 27B or Z.ai: GLM 5.3 Flash?

Z.ai: GLM 5.3 Flash has the lower published input-plus-output rate, more Credits provider routes, the larger context window and the lower measured p50 time to first token.

Is Qwen: Qwen3.6 27B or Z.ai: GLM 5.3 Flash cheaper?

The current cheapest TrustedRouter route is $1.5825/1M for Qwen: Qwen3.6 27B and $0.32705/1M for Z.ai: GLM 5.3 Flash. The comparison uses current catalog prices and updates as provider pricing changes.

Is Qwen: Qwen3.6 27B or Z.ai: GLM 5.3 Flash faster?

Current measured p50 time to first token is 1655 ms for Qwen: Qwen3.6 27B and 910 ms for Z.ai: GLM 5.3 Flash. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test Qwen: Qwen3.6 27B and Z.ai: GLM 5.3 Flash with the same API?

Yes. Use the same OpenAI-compatible TrustedRouter base URL and API key, then change only the model id between qwen/qwen3.6-27b and z-ai/glm-5.3-flash. This makes side-by-side evals possible without maintaining two provider integrations.

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