GLM 5.3 Flash EXL3

MiaAI Lab TR3 4bpw · 2x DGX Spark (Twins_DSV4)

model  GLM-5.3-Flash-EXL3serving  vllmcontext  850,000 tokhardware  2x DGX Sparkrecipe  MiaAI_Lab GLM-5.3-Flash-EXL3-TR3-4bpwMiaAI Lab  @MiaAI_lab

01Decode throughput

Per-request decode rate and aggregate throughput at each concurrency level. Output capped at 384 tokens, temperature 0, thinking disabled.

single-stream decode
22.80 tok/s
c1 · mean of 3 runs
best aggregate throughput
31.53 tok/s
c4 · all batches
decode budget
384 tok
per request, temp 0
concurrencyper-req decodemin – maxttft meanaggregate
c13 reqs · 3 batch(es)22.80 tok/s22.56 – 22.99 390.1 ms22.34 tok/s
c24 reqs · 2 batch(es)21.22 tok/s17.98 – 24.47 8,322.2 ms24.52 tok/s
c48 reqs · 2 batch(es)16.95 tok/s13.84 – 23.37 10,800.1 ms31.53 tok/s

02Prefill & TTFT by prompt size

Time to first token as the prompt grows. Cold = first request for that size; warm = repeated identical prompt (prefix-cached prefill).

prompt sizettft coldttft warmprefill rate
~256actual 185 tokens3,611.0 ms809.1 ms229 tok/s
~1,000actual 712 tokens1,073.5 ms1,087.2 ms655 tok/s
~4,000actual 2,751 tokens2,525.5 ms2,227.6 ms1,235 tok/s
~16,000actual 10,985 tokens7,647.3 ms690.3 ms15,913 tok/s
~64,000actual 43,902 tokens25,071.6 ms1,065.5 ms41,203 tok/s
~128,000actual 87,787 tokens29,706.1 ms1,685.6 ms52,081 tok/s

03Prefix cache effect

Identical ~16000-token prompt sent repeatedly. The ratio shows how much the serving stack saves on cache hits.

ttft cold
12,332.2 ms
first request, ~10,985 tokens
ttft repeated
727.7 ms
identical prompt, prefix cache hit
cache speedup
16.95×
cold / repeated TTFT