Run DeepSeek V4 Flash Vision-Exp on M5 Max

The LLMCheck index estimates DeepSeek V4 Flash Vision-Exp at ~39 tok/s on an M5 Max at Q2_K, a figure from its published bandwidth model, not a measured run. It needs about 120 GB of unified memory. It is DeepSeek's 305B mixture-of-experts model (13B active), released under the MIT licence.

Speed
estimated~39
tok/s
First Token
—
seconds
RAM Needed
120
GB minimum
Engine
llama.cpp
of this figure
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The figure

This is an LLMCheck index estimate from its published two-term bandwidth model, not a measured run; the index labels it so everywhere it appears. Own this Mac? Submit a real run →

MetricValue
Tokens per secondestimated~39 tok/s
Provenanceestimate · how estimates are made
QuantizationQ2_K
Enginellama.cpp
Figure dated2026-09
Minimum RAM120 GB
Parameters305B MoE (13B active)
Chip bandwidth614 GB/s

Every figure for DeepSeek V4 Flash Vision-Exp on the M5 Max

Each row as the index holds it, with its source. “Mac RAM” is the memory of the Mac a run used, not the model’s requirement (120 GB). The headline figure follows the reference rule: the lower-median measured plain-decode run at 5 bits or fewer (a run whose quant was not stated counts only when no stated-quant run qualifies), else the estimate; a run marked “not used to anchor estimates” is listed here but never becomes the headline.

SpeedQuantEngineMac RAMContextSourceNote
estimated39 tok/sQ2_Kllama.cpp128 GB—LLMCheck estimator—
Provenance key
sourced
Published figure — vendor or press review
estimated
community
Linked individual run — blog, forum or submission

Setup: run DeepSeek V4 Flash Vision-Exp on a Mac

Ollama — the index has not verified an Ollama tag for DeepSeek V4 Flash Vision-Exp, so it doesn’t print one (a guessed tag fails with “pull model manifest: file does not exist”). Search the Ollama library →

MLX — pick a build from Hugging Face’s MLX listings, then run it with its repo id:

pip install -U mlx-lm
mlx_lm.generate --model <repo-id> --prompt "Hello"

Downloads: Search the Ollama library → · model card →

Prefer a GUI? LM Studio downloads GGUF and MLX builds in one click. Step by step: install Ollama on a Mac.

DeepSeek V4 Flash Vision-Exp on other Apple Silicon chips

ChipSpeedQuantEngineBandwidth
M5 Ultraestimated46 tok/sQ4_K_Mllama.cpp1228 GB/s
M3 Ultraestimated32 tok/sQ4_K_Mllama.cpp819 GB/s

About DeepSeek V4 Flash Vision-Exp

DeepSeek's first V4 vision model (weights 2026-08-31, MIT): V4 Flash's 13B-active decode path with vision modules added, 305B total, explicitly experimental. Text capability inherited from V4 Flash; no independent vision benchmark verified. 2-bit GGUF is 97 GB and fits a 128 GB Mac; image input needs llama.cpp b10766 or later. ~39 tok/s estimated on M5 Max, anchored to V4 Flash's community run.

MIT licence · 305B MoE · 1000K context · LLMCheck capability 47/50 · see its leaderboard rank →

System requirements

Macs with the M5 Max

🛒 Get a Mac that runs DeepSeek V4 Flash Vision-Exp

DeepSeek V4 Flash Vision-Exp needs about 120 GB of unified memory. These current Apple Silicon Macs have the headroom to run it comfortably:

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