llamaperf

DeepSeek V4.1 Flash 552B (16B active)

on NVIDIA RTX 3090 · vLLM · 262,144 ctx

Tone: mixedNVIDIA hardware
Oct 8, 2026
Throughput
19.3 t/s gen · 690-790 tokens/s prompt processing (prefill)Prompt processing measures input prefill speed; it does not tell you the time to first token.
Quant
EXL3 3.0 bpw (EXL3)
KV cache
fp8
System RAM
503 GB
VRAM reported
24 GB

Use cases

long-contextagenticcodingmath

Summary

User reports DeepSeek-V4.1-Flash at 19.3 tok/s decode (C1) on a single RTX 3090 24GB with 503 GiB DDR4 and NVMe. Setup is vLLM 0.13 with EXL3 3.0 bpw quantization, fp8 KV cache, 262,144-token context, and CPU expert offload. All 15,360 routed experts are pinned in host RAM (190.5 GiB), with an AVX2 CPU tier computing cold decode misses and an elastic VRAM expert cache holding the hottest experts. Decode scales to 24.0 tok/s at 2 streams and 26.6 tok/s at 4 streams. Prefill ranges from 690 to 790 tok/s across 8k to 261k tokens. An experimental Intel Arc B70 expert tier reached 41.3 tok/s at 4 streams (+55%), but quality A/B is pending. Prefill fidelity failed the inherited guard (top-1 0.9856 vs 0.988 required, mean KL 0.0068 vs 0.00103 allowed).