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RTX 5090 workstation: Qwen3.8 Flash-Next IQ3_S at 159.2 tok/s on Strata (expert offload)

GPU(s)RTX 5090
Amazon · eBay (used) · Newegg
VRAM / unified memory (GB)32
CPU
Motherboard
RAM
PSU
OtherStrata expert-offload engine: hot experts on the GPU, all experts in system RAM, ~29 GB lookup table on SSD; GPU also drives the Hyprland desktop (4 GiB reserve)
Reported total cost
Power

Measured speed (generation tokens/sec)

📏 How measured: reported by the original source; RigBase re-checked the numbers at that source

ModelQuantEnginetok/sDetails
Qwen3.8 Flash-NextIQ3_S (~55 GB), experts offloaded to RAM, speculation helperStrata159.2

AkitaOnRails LLM Benchmark v4, 22 Oct 2026. Qwen3.8 Flash-Next runs with CPU offload of experts (Strata). Scored 91.0 (Tier A) on the author's code-review benchmark. With the 4 GiB desktop reserve, throughput in the initial measurement went from ~200 to ~150 tok/s. Ornith-1.5-35B-A3B Q8_0 on the same card/engine: ~80 tok/s.

Current GPU street price (estimate, not the builder's cost)Estimated GPU cost for this build today: ≈€6,199
New retail prices in Germany incl. VAT; used cards are often much cheaper. Prices change daily.

Source: https://akitaonrails.github.io/en/2026/10/22/llm-benchmark-v4-consumer-open-source-rtx5090-strix-halo-strata/

Blank fields = not stated in the source. We never estimate build data; GPU street prices above are separately sourced and dated.

Rent before you buy: try this model on a cloud GPU for a few dollars first: Runpod (referral link; sign up with Google to get the new-user bonus)

Quick answers: Can RTX 5090 run Qwen3.8 Flash-Next?