Yes — DeepSeek V4 Flash Vision-Exp (305B-A13B) runs at 42 tok/s on M4 Ultra with 192 GB RAM using Q4_K_M quantization via llama.cpp. A capable open-source LLM with 305B-A13B parameters.
Want to run DeepSeek V4 Flash Vision-Exp faster — or step up to bigger models? Find your Mac →The LLMCheck index estimates DeepSeek V4 Flash Vision-Exp on M4 Ultra using our published methodology: Q4_K_M quantization, memory-bandwidth scaling, and cross-referenced third-party benchmarks where available. Figures are transparent estimates — own this config? Submit a real benchmark →
| Metric | Value |
|---|---|
| Tokens per second | 42 tok/s |
| Time to first token | — |
| Quantization | Q4_K_M |
| Minimum RAM | 192 GB |
| Recommended engine | llama.cpp |
| Parameters | 305B-A13B |
| Benchmark date | 2026-09 |
Q4_K_M 305B-A13B llama.cpp M4 Ultra
The recommended engine for DeepSeek V4 Flash Vision-Exp on M4 Ultra is llama.cpp. Install Ollama, then pull the model:
Ollama handles quantization automatically — it will download the Q4_K_M variant (~192 GB) and start an interactive chat session.
| Chip | Speed | First Token | Min RAM | Engine |
|---|---|---|---|---|
| M5 Ultra | 47 tok/s | — | 256 GB | llama.cpp |
| M3 Ultra | 33 tok/s | — | 256 GB | llama.cpp |
To run DeepSeek V4 Flash Vision-Exp on M4 Ultra you need:
DeepSeek V4 Flash Vision-Exp needs about 192 GB of unified memory. These current Apple Silicon Macs have the headroom to run it comfortably:
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