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OpenAI compatible API · Attested · Public status

remm-slerp:l2-13b vs Z.ai: GLM 5.3

remm-slerp:l2-13b has the lower published input-plus-output rate and the lower measured p50 time to first token. Z.ai: GLM 5.3 has more Credits provider routes and the larger context window. 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

remm-slerp:l2-13b has the lower published input-plus-output rate and the lower measured p50 time to first token. Z.ai: GLM 5.3 has more Credits provider routes and the larger context window.

$1.1605/1Mremm-slerp:l2-13b cheapest route
$3.458818/1MZ.ai: GLM 5.3 cheapest route
767 msremm-slerp:l2-13b fastest measured p50 TTFT via mancer
973 msZ.ai: GLM 5.3 fastest measured p50 TTFT via friendli

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.

remm-slerp:l2-13bZ.ai: GLM 5.3
Model idundi95/remm-slerp-l2-13bz-ai/glm-5.3
PublisherUndi95 Z.AI
AI IQ — IQ 125#24
Context6,144 tokens1,048,576 tokens
Credits provider routes233
Cheapest route$1.1605/1M$3.458818/1M
Cached inputNot published$0.1055/1M to $0.87565/1M
Privacy postureprovider posture varieshas Confidential route (E2EE + ZDR)
Fastest measured p50 TTFT767 ms via mancer973 ms via friendli
Highest measured throughputnot enough data260 tok/s via wafer
Recent route uptime range100.00%0.00% to 100.00%
Modes chat chat

remm-slerp:l2-13b routes

Z.ai: GLM 5.3 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="undi95/remm-slerp-l2-13b",
    messages=messages,
)

Questions

Which should I use, remm-slerp:l2-13b or Z.ai: GLM 5.3?

remm-slerp:l2-13b has the lower published input-plus-output rate and the lower measured p50 time to first token. Z.ai: GLM 5.3 has more Credits provider routes and the larger context window.

Is remm-slerp:l2-13b or Z.ai: GLM 5.3 cheaper?

The current cheapest TrustedRouter route is $1.1605/1M for remm-slerp:l2-13b and $3.458818/1M for Z.ai: GLM 5.3. The comparison uses current catalog prices and updates as provider pricing changes.

Is remm-slerp:l2-13b or Z.ai: GLM 5.3 faster?

Current measured p50 time to first token is 767 ms for remm-slerp:l2-13b and 973 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 remm-slerp:l2-13b 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 undi95/remm-slerp-l2-13b and z-ai/glm-5.3. This makes side-by-side evals possible without maintaining two provider integrations.

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