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Qwen3.8-Flash-Next

Qwen family · 180.0B params

40recorded runs
204.5best tok/s
38verified

Evidence: 38 sourced runs · 2 awaiting review · 2 independent sources · first recorded Aug 27, 2026 · last recorded Oct 11, 2026. What these labels mean.

What the Qwen3.8-Flash-Next numbers mean

The fastest verified result on our board is 186.9 output tok/s on an CMP 170HX x2 at W4A16-FP8PLE with a 262052-token context. That is about 5.3 ms per generated token — 500 tokens takes roughly 2.7 seconds. Across the 40 records we hold for this model the range is 20.3–204.5 tok/s on 16 GPUs, because quantisation, context length and the engine build all move the number.

How much VRAM does Qwen3.8-Flash-Next need?

Qwen3.8-Flash-Next has 180.0B parameters. These estimates use the same formula as the VRAM calculator: weights, plus about 15% for a moderate-context KV cache and runtime overhead, plus a small engine floor.

QuantisationEstimated VRAMSmallest card that fits
Q4_K_M (4-bit)117.2 GB141 GB
Q8_0 (8-bit)220.7 GBmulti-GPU or CPU offload
FP16 (16-bit)414.8 GBmulti-GPU or CPU offload

Long contexts and large batches raise the real number — read the smallest card as "possible with a reduced context". Measured throughput is on the benchmark board.

Fastest GPUs for this model (best tok/s)
  1. RTX PRO 6000 Blackwell x2204.5
  2. CMP 170HX x2186.9
  3. RTX 3090 x4145.8
  4. Mac Studio (Mac16,9) with Apple M4 Max110.3
  5. Tesla V100 x296.1

Models with a similar footprint

ModelParamsQ4_K_M weights
CYBER-FROST-3.8180B101.2 GB
Qwen3.8-Flash-Next-hibrid48180B101.2 GB
Qwen3.8-Flash-Next-REAP-256-duo180B101.2 GB
DeepSeek-V4-Flash-180B158B88.9 GB
MiniMax-M2.7229B128.8 GB
Ling-3.0-flash127B71.4 GB

Ranked by distance from Qwen3.8-Flash-Next's parameter count. Full benchmark board.

All benchmarks Methodology

GPUModelQuantBackendCtx tok/sprompt tok/sVRAM GBSource
CMP 170HX x2 · 64 GBQwen3.8-Flash-NextW4A16-FP8PLEvllm 0.29.0262052186.9 ✓——src
RTX 3090 x4 · 24 GBQwen3.8-Flash-NextW4A16+FP8-KVvllm tonyd2wild qwen4exp-ple (vllm nightl…262144145.8 ✓——src
Mac Studio (Mac16,9) with Apple M4 Max · 64 GBQwen3.8-Flash-NextIQ3_XXS + MTP Q8_0llama.cpp 781dbc5ac98921dbdb5e5b2ec5b7a50960e9…1024110.3 ✓——src
Tesla V100 x2 · 32 GBQwen3.8-Flash-NextIQ3XXSllama.cpp b11030-mix-5ff778e400096.1 ✓——src
DGX Spark x2 · 128 GBQwen3.8-Flash-NextINT4-AutoRoundvllm 0.30.0 with patches (v5.2 image, sha…12800093.0 ✓——src
Tesla V100 x2 · 32 GBQwen3.8-Flash-NextIQ3XXSllama.cpp b11030-mix-5ff778e51287.5 ✓——src
RTX 5070 · 12 GBQwen3.8-Flash-NextQ2_0strata 0.1.263276881.8 ✓——src
Tesla V100 x2 · 32 GBQwen3.8-Flash-NextIQ3XXSllama.cpp b11030-mix-5ff778e13100080.9 ✓——src
DGX Spark x2 · 128 GBQwen3.8-Flash-NextNVFP4vllm vLLM + patches from github.com/bilik…26214480.0 ✓——src
DGX Spark · 128 GBQwen3.8-Flash-Next4.05bpw_h6_ng6tensorfold 0.6.54096075.7 ✓——src
DGX Spark · 128 GBQwen3.8-Flash-NextEXL3exllamav2 523ecd324000072.0 ✓——src
DGX Spark · 128 GBQwen3.8-Flash-NextEXL3exllamav2 523ecd3400069.8 ✓——src
DGX Spark · 128 GBQwen3.8-Flash-NextEXL3exllamav2 523ecd312800069.5 ✓——src
DGX Spark · 128 GBQwen3.8-Flash-NextEXL3 3.05bpwexllamav2 523ecd37500067.6 ✓——src
DGX Spark · 128 GBQwen3.8-Flash-NextEXL3 3.05bpwexllamav2 523ecd33200059.0 ✓——src
DGX Spark · 128 GBQwen3.8-Flash-NextEXL3 3.05bpwexllamav2 523ecd3100056.0 ✓——src
DGX Spark · 128 GBQwen3.8-Flash-NextNVFP4sglang 8874c51a26214455.0 ✓——src
CMP 170HX · 64 GBQwen3.8-Flash-NextUD-IQ1_Sllama.cpp pr-277426553646.1 ✓68.743.2src
DGX Spark · 128 GBQwen3.8-Flash-NextNVFP4+FP8 hybridvllm blazux/qwen3.8-Flash-DGX (vllm fork)…25879044.2 ✓1636.7—src
DGX Spark · 128 GBQwen3.8-Flash-NextNVFP4vllm 8a72866326214443.9 ✓——src
DGX Spark · 128 GBQwen3.8-Flash-NextNVFP4+FP8 hybridvllm blazux/qwen3.8-Flash-DGX (vllm fork)…429243.0 ✓1417.3—src
DGX Spark · 128 GBQwen3.8-Flash-NextNVFP4+FP8 hybridvllm blazux/qwen3.8-Flash-DGX (vllm fork)…3285042.6 ✓1491.4—src
DGX Spark · 128 GBQwen3.8-Flash-NextNVFP4+FP8 hybridvllm blazux/qwen3.8-Flash-DGX (vllm fork)…1642442.3 ✓1322.3—src
DGX Spark · 128 GBQwen3.8-Flash-NextNVFP4+FP8 hybridvllm blazux/qwen3.8-Flash-DGX (vllm fork)…823242.1 ✓1414.9—src
DGX Spark · 128 GBQwen3.8-Flash-NextNVFP4+FP8 hybridvllm blazux/qwen3.8-Flash-DGX (vllm fork)…86441.6 ✓580.6—src
DGX Spark · 128 GBQwen3.8-Flash-NextNVFP4+FP8 hybridvllm blazux/qwen3.8-Flash-DGX (vllm fork)…6617741.4 ✓1780.4—src
DGX Spark · 128 GBQwen3.8-Flash-NextNVFP4+FP8 hybridvllm blazux/qwen3.8-Flash-DGX (vllm fork)…227141.1 ✓1132.0—src
Tesla V100 PCIe 16GB · 16 GBQwen3.8-Flash-NextQ2_0strata v0.1.42819240.7 ✓——src
DGX Spark · 128 GBQwen3.8-Flash-NextNVFP4+FP8 hybridvllm blazux/qwen3.8-Flash-DGX (vllm fork)…13143740.6 ✓1718.3—src
RTX 3090 x2 · 24 GBQwen3.8-Flash-NextUnsloth-Dynamic-IQ3_XXSllama.cpp 0.3.0-dev / commit 035e227 (llamacpp…21708840.1 ✓340.142.9src
RTX 3090 · 24 GBQwen3.8-Flash-NextEXL3 2.50bpwexllamav2 v1.5.0-compatible build with MoE CPU…26214438.6 ✓——src
DGX Spark · 128 GBQwen3.8-Flash-NextNVFP4+FP8 hybridvllm blazux/qwen3.8-Flash-DGX (vllm fork)…32737.4 ✓132.0—src
Radeon AI Pro R9700 x3 · 32 GBQwen3.8-Flash-NextUD-IQ3_XXSllama.cpp b10643-11-gaecd368d082928.1 ✓474.4—src
Radeon AI Pro R9700 · 32 GBQwen3.8-Flash-NextIQ4_XSllama.cpp 035e227 + Qwen4Exp graph-reuse/QSA t…3276825.6 ✓537.432.9src
Intel Arc Pro B70 · 32 GBQwen3.8-Flash-NextEXL3 3.05 bpwsglang 24c872759256819224.0 ✓1056.0—src
Intel Arc Pro B70 · 32 GBQwen3.8-Flash-NextEXL3 3.05 bpwsglang 24c8727592563276823.9 ✓1106.0—src
RTX 3090 · 24 GBQwen3.8-Flash-NextEXL3 2.50bpwexllamav2 v1.5.0-compatible build with MoE CPU…17500020.9 ✓——src
Intel Arc Pro B70 x2 · 32 GBQwen3.8-Flash-NextIQ3_Sllama.cpp 0.3.0-dev b492 9723942 SYCL F16=ON1638420.3 ✓594.5—src
RTX PRO 6000 Blackwell x2 · 192 GBQwen3.8-Flash-NextFP8_E4M3vllm —262144204.5 …——src
RTX PRO 6000 Blackwell x2 · 192 GBQwen3.8-Flash-NextNVFP4vllm —26214493.5 …437.7—src
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