OpenAI compatible API · Attested · Public status

Qwen/Qwen3.5-2B vs Z.ai: GLM 5.3

Qwen/Qwen3.5-2B 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. 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

Qwen/Qwen3.5-2B 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.

$0.5064/1MQwen/Qwen3.5-2B cheapest route

$3.458818/1MZ.ai: GLM 5.3 cheapest route

2817 msQwen/Qwen3.5-2B fastest measured p50 TTFT via featherless

893 msZ.ai: GLM 5.3 fastest measured p50 TTFT via crusoe

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/Qwen3.5-2BZ.ai: GLM 5.3

Model idqwen/qwen3.5-2bz-ai/glm-5.3

Publisher Alibaba Cloud Model Studio Z.AI

AI IQ IQ 83#162 IQ 125#24

Context32,768 tokens1,048,576 tokens

Credits provider routes133

Cheapest route$0.5064/1M$3.458818/1M

Cached inputNot published$0.1055/1M to $0.87565/1M

Privacy postureprovider posture varieshas Confidential route (E2EE + ZDR)

Fastest measured p50 TTFT2817 ms via featherless893 ms via crusoe

Highest measured throughputnot enough data260 tok/s via wafer

Recent route uptime range100.00%22.22% to 100.00%

Modes chat chat

Qwen/Qwen3.5-2B routes

Overview1 Credits routes

Z.ai: GLM 5.3 routes

Overview33 Credits routes
PricingInput, cached input, and output rates
ProvidersAll serving providers

Related comparisons

Browse every comparison

Z.ai: GLM 5.3 vs Z.ai: GLM 5.3 Flash67 combined provider routes
Z.ai: GLM 5.2 vs Z.ai: GLM 5.365 combined provider routes
MoonshotAI: Kimi K3 vs Z.ai: GLM 5.362 combined provider routes
DeepSeek: DeepSeek V4 Flash 0731 vs Z.ai: GLM 5.360 combined provider routes
DeepSeek: DeepSeek V4.1 Flash vs Z.ai: GLM 5.357 combined provider routes
OpenAI: gpt-oss-120b vs Z.ai: GLM 5.356 combined provider routes
Qwen: Qwen3.8 27B vs Z.ai: GLM 5.351 combined provider routes
Google: Gemma 4 31B vs Z.ai: GLM 5.350 combined provider routes

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/qwen3.5-2b",
    messages=messages,
)

Questions

Which should I use, Qwen/Qwen3.5-2B or Z.ai: GLM 5.3?

Qwen/Qwen3.5-2B 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/Qwen3.5-2B or Z.ai: GLM 5.3 cheaper?

The current cheapest TrustedRouter route is $0.5064/1M for Qwen/Qwen3.5-2B and $3.458818/1M for Z.ai: GLM 5.3. The comparison uses current catalog prices and updates as provider pricing changes.

Is Qwen/Qwen3.5-2B or Z.ai: GLM 5.3 faster?

Current measured p50 time to first token is 2817 ms for Qwen/Qwen3.5-2B and 893 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/Qwen3.5-2B 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/qwen3.5-2b and z-ai/glm-5.3. This makes side-by-side evals possible without maintaining two provider integrations.