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OpenAI compatible API · Attested · Public status

Qwen: Qwen3.5-9B vs Z.ai: GLM 5.3

Qwen: Qwen3.5-9B vs Z.ai: GLM 5.3: compare current API pricing, context, provider routes, privacy, p50 latency, and OpenAI-compatible access.

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

Qwen: Qwen3.5-9B has the lower published input-plus-output rate. Z.ai: GLM 5.3 has more Credits provider routes, the larger context window and the lower measured p50 time to first token.

$0.26375/1MQwen: Qwen3.5-9B cheapest route
$3.458818/1MZ.ai: GLM 5.3 cheapest route
1881 msQwen: Qwen3.5-9B fastest measured p50 TTFT via regolo
707 msZ.ai: GLM 5.3 fastest measured p50 TTFT via sail-research

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: Qwen3.5-9BZ.ai: GLM 5.3
Model idqwen/qwen3.5-9bz-ai/glm-5.3
Context262,144 tokens1,048,576 tokens
Credits provider routes631
Cheapest route$0.26375/1M$3.458818/1M
Cached inputNot published$0.133141/1M to $1.02546/1M
Privacy posturehas ZDR routehas Confidential route (E2EE + ZDR)
Fastest measured p50 TTFT1881 ms via regolo707 ms via sail-research
Highest measured throughputnot enough data331 tok/s via makora
Recent route uptime range100.00%91.67% to 100.00%
Modes chat chat

Qwen: Qwen3.5-9B routes

Z.ai: GLM 5.3 routes

Related comparisons

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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/qwen3.5-9b",
    messages=messages,
)

Questions

Which should I use, Qwen: Qwen3.5-9B or Z.ai: GLM 5.3?

Qwen: Qwen3.5-9B has the lower published input-plus-output rate. Z.ai: GLM 5.3 has more Credits provider routes, the larger context window and the lower measured p50 time to first token.

Is Qwen: Qwen3.5-9B or Z.ai: GLM 5.3 cheaper?

The current cheapest TrustedRouter route is $0.26375/1M for Qwen: Qwen3.5-9B and $3.458818/1M for Z.ai: GLM 5.3. The comparison uses current catalog prices and updates as provider pricing changes.

Is Qwen: Qwen3.5-9B or Z.ai: GLM 5.3 faster?

Current measured p50 time to first token is 1881 ms for Qwen: Qwen3.5-9B and 707 ms for Z.ai: GLM 5.3. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test Qwen: Qwen3.5-9B and Z.ai: GLM 5.3 with the same API?

Yes. Use the same OpenAI-compatible TrustedRouter base URL and API key, then change only the model id between qwen/qwen3.5-9b and z-ai/glm-5.3. This makes side-by-side evals possible without maintaining two provider integrations.

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