Qwen3.8 Flash Next MTPLX Bare Speed — Hardware Requirements & GPU Compatibility
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Qwen3.8 Flash Next MTPLX Bare Speed is a 126.2B-parameter open language model from Youssofal in the Qwen 3.8 family. It supports a context window of up to 262,144 tokens. At Q4_K_M it needs about 76.10 GB of VRAM — see which GPUs and Macs can run it below.
Qwen3.8 Flash Next MTPLX Bare Speed runs on a 96 GB+ Mac or a workstation GPU
Best local pick → Mac Studio (M3 Ultra, 96GB) · Q4_K_M · 76.7 GB · ~8 tok/s
Macs from 64 GB (Q2_K · ~10 tok/s)
Other
Not set up for it?
Reference GPU · RTX 4090 24 GB
Estimates, ±20% · how we estimate
Run Qwen3.8 Flash Next MTPLX Bare Speed
One recommended way. Every other method, OS and quant is in the step-by-step guide.
Recommended
vllm serve Youssofal/Qwen3.8-Flash-Next-MTPLX-Bare-Speed --max-model-len 16384vLLM repo with its own quantisation
Download: Weights on Hugging Face
Other ways
each opens step-by-stepRun in cloud
Fits on RTX PRO 6000 (96 GB) (19 GB headroom) · Q4_K_M
- Generation speed
- ~14 tok/s
- generation speed
- Cost per 1M output tokens
- $31.37
- per 1M output tokens
How Much VRAM Does Qwen3.8 Flash Next MTPLX Bare Speed Need?
Select a quantization level; the listed hardware adheres to it.
| Quantization | VRAM | +32K | On RTX 4090 (reference) | |
|---|---|---|---|---|
| 54.0 GB | 55.3 GB | 2-bit · K-quant — 2-bit quantization with K-quant improvements | Does not fit: needs 54.6 GB | |
| 61.9 GB | 63.2 GB | 3-bit medium — 3-bit medium quantization | Does not fit: needs 62.5 GB | |
| 76.1 GB | 77.4 GB | 4-bit medium — 4-bit medium quantization — most popular sweet spot | Does not fit: needs 76.7 GB | |
| 90.3 GB | 91.6 GB | 5-bit medium — 5-bit medium quantization — good quality/size tradeoff | Does not fit: needs 90.9 GB | |
| 104.5 GB | 105.8 GB | 6-bit, very good — 6-bit quantization, very good quality | Does not fit: needs 105.1 GB | |
| 126.6 GB | 127.8 GB | 8-bit, near-lossless — 8-bit quantization, near-lossless | Does not fit: needs 127.2 GB | |
| 252.8 GB | 254 GB | 16-bit · bfloat — Brain floating point 16 — preferred for training | Does not fit: needs 253.4 GB |
Selected Q4_K_M
4-bit medium quantization76.7GBat 16K context
- Weights
- 75.7 GB
- KV cache
- 0.7 GB
- Overhead
- 0.3 GB
Doesn't fit RTX 4090 (reference) · needs 52.7 GB more
Which Hardware Can Run Qwen3.8 Flash Next MTPLX Bare Speed?
Q4_K_M · 76.1 GBQwen3.8 Flash Next MTPLX Bare Speed (Q4_K_M) requires 76.1 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 99+ GB is recommended. Using the full 262K context window can add up to 10.7 GB, bringing total usage to 86.8 GB. No consumer GPU has enough memory. 30 devices with unified memory can run Qwen3.8 Flash Next MTPLX Bare Speed, including Mac Studio (M3 Ultra, 256GB), Mac Studio (M3 Ultra, 512GB), Mac Studio (M3 Ultra, 96GB).
64–80 GB
Q4_K_M · best fit Q3_K_M (62.5 GB)
1 device family
Orin~2Simulate output on NVIDIA Jetson AGX Orin 64GB96 GB
fits · 19.3 GB free · up to 256K ctx
2 Mac classes
M3 Ultra*96 GB~8Simulate output on Mac Studio (M3 Ultra, 96GB)M3 Max*96 GB~3Simulate output on MacBook Pro 14" M3 Max (96 GB)
By VRAM tier · typical GPUs and Macs at Q4_K_M
Alternatives to Qwen3.8 Flash Next MTPLX Bare Speed
Qwen 3.8 family · 12 models →Similar models
6| Model | Score | VRAM | tok/s | Why it is similar |
|---|---|---|---|---|
| Qwen3.5 122B A10BAlibaba | 109.4 | 75.5 GB | —needs > 24 GB | same size |
| NVIDIA Nemotron 3.5 Super VL 120B A12B BF16NVIDIA | — | 87.7 GB | —needs > 24 GB | same size |
| Ling 3.0 Flash VLInclusion AI | — | 76 GB | —needs > 24 GB | same size |
| Leanstral 1.5 119B A6BMistral AI | — | 84 GB | —needs > 24 GB | same size |
| Laguna S 2.1poolside | — | 72.5 GB | —needs > 24 GB | same size |
| XORTRON.CriminalComputing.LARGE.2026.3darkc0de | — | 79.8 GB | —needs > 24 GB | same size |
Specifications
- Publisher
- Youssofal
- Family
- Qwen 3.8
- Parameters
- 126.2B
- Architecture
- Qwen4ExpForConditionalGeneration
- Context Length
- 262,144 tokens
- Vocabulary Size
- 248,320
- Release Date
- 2026-08-27
- License
- Other
Frequently Asked Questions
How much VRAM does Qwen3.8 Flash Next MTPLX Bare Speed need?
Qwen3.8 Flash Next MTPLX Bare Speed requires 76.1 GB of VRAM at Q4_K_M, or 252.8 GB at BF16. Full 262K context adds up to 10.7 GB (86.8 GB total).
VRAM = Weights + KV Cache + Overhead
Weights = 126.2B × 4.8 bits ÷ 8 = 75.7 GB
KV Cache + Overhead ≈ 0.4 GB (at 2K context + ~0.3 GB framework)
Fit ratings and hardware model lists check this model with room for a 16K-token context, which needs a little more memory.
KV Cache + Overhead ≈ 11 GB (at full 262K context)
VRAM usage by quantization
Can NVIDIA GeForce RTX 5090 run Qwen3.8 Flash Next MTPLX Bare Speed?
No — Qwen3.8 Flash Next MTPLX Bare Speed requires at least 54.0 GB at Q2_K, which exceeds the NVIDIA GeForce RTX 5090's 32 GB of VRAM.
What's the best quantization for Qwen3.8 Flash Next MTPLX Bare Speed?
For Qwen3.8 Flash Next MTPLX Bare Speed, Q4_K_M (76.1 GB) offers the best balance of quality and VRAM usage. Q5_K_M (90.3 GB) provides better quality if you have the VRAM. The smallest option is Q2_K at 54.0 GB.
VRAM requirement by quantization
★ Recommended — best balance of quality and VRAM usage.
Can I run Qwen3.8 Flash Next MTPLX Bare Speed on a Mac?
Yes — Mac Pro M2 Ultra (64 GB) and 41 other Macs can run Qwen3.8 Flash Next MTPLX Bare Speed, the smallest at Q2_K. Apple Silicon uses unified memory, so the model shares RAM with the system. At Q4_K_M you need at least 76.1 GB of usable unified memory (RAM minus macOS overhead), from Mac Studio (M3 Ultra, 96GB).
Can I run Qwen3.8 Flash Next MTPLX Bare Speed locally?
Yes — Qwen3.8 Flash Next MTPLX Bare Speed can run locally on consumer hardware. Popular tools include Ollama, LM Studio, and llama.cpp.
How fast is Qwen3.8 Flash Next MTPLX Bare Speed?
At Q4_K_M, Qwen3.8 Flash Next MTPLX Bare Speed can reach ~63 tok/s on AMD Instinct MI350X. Speed depends mainly on GPU memory bandwidth. Real-world results typically within ±20%.
tok/s = (bandwidth GB/s ÷ model GB) × efficiency
Example: NVIDIA B200 → 8000 ÷ 76.1 × 0.65 = ~68 tok/s
Estimated speed at Q4_K_M (76.1 GB)
Real-world results typically within ±20%. Speed depends on batch size, quantization kernel, and software stack.
What's the download size of Qwen3.8 Flash Next MTPLX Bare Speed?
At Q4_K_M, the download is about 75.72 GB. The full-precision BF16 version is 252.39 GB. The smallest option (Q2_K) is 53.63 GB.
Which GPUs can run Qwen3.8 Flash Next MTPLX Bare Speed?
No single consumer GPU has enough VRAM to run Qwen3.8 Flash Next MTPLX Bare Speed at Q4_K_M (76.1 GB). Multi-GPU or professional hardware is required.
Which devices can run Qwen3.8 Flash Next MTPLX Bare Speed?
30 devices with unified memory can run Qwen3.8 Flash Next MTPLX Bare Speed at Q4_K_M (76.1 GB), including ASUS Ascent GX10, Beelink GTR9 Pro (Ryzen AI Max+ 395, 128 GB), Framework Desktop (Ryzen AI Max+ 395, 128 GB), GMKtec EVO-X2 (Ryzen AI Max+ 395, 128 GB). Apple Silicon Macs use unified memory shared between CPU and GPU, making them well-suited for local LLM inference.