The LLMCheck index estimates DeepSeek V4.1 Flash at ~29 tok/s on an M5 Ultra at oQ4e, scaled from its community-measured M3 Ultra run with the published bandwidth model, not a measured run on this chip. It needs about 434 GB of unified memory. It is DeepSeek's 552B mixture-of-experts model (16B active), released under the MIT licence.
Only a third-party runtime runs it: oMLX's own deepseek_v41 support, on a 512 GB Mac. Upstream llama.cpp support is still an open PR (#28696).
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 →
| Metric | Value |
|---|---|
| Tokens per second | estimated~29 tok/s |
| Provenance | estimate · how estimates are made |
| Quantization | oQ4e |
| Engine | MLX |
| Figure dated | 2026-10 |
| Minimum RAM | 434 GB |
| Parameters | 552B MoE (16B active) |
| Chip bandwidth | 1228 GB/s |
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 (434 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.
| Speed | Quant | Engine | Mac RAM | Context | Source | Note |
|---|---|---|---|---|---|---|
| estimated29 tok/s | oQ4e | MLX | 512 GB | — | LLMCheck estimator | — |
Ollama — the index has not verified an Ollama tag for DeepSeek V4.1 Flash, 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:
Downloads: Hugging Face repo → · model card →
Prefer a GUI? LM Studio downloads GGUF and MLX builds in one click. Step by step: install Ollama on a Mac.
| Chip | Speed | Quant | Engine | Bandwidth |
|---|---|---|---|---|
| M3 Ultra | community20 tok/s | oQ4e | MLX | 819 GB/s |
| M5 Max | estimated12 tok/s | 6.6 bpw | — | 614 GB/s |
DeepSeek's MIT-licensed 552B causal encoder-decoder MoE (16B active per decoded token) with image input and 1M context; the 17 Oct 2026 '1017' snapshot lifts DeepSWE v1.1 from 74.2 to 77.0 (Mini-SWE-V2 harness). It runs on a 512 GB Mac Studio through oMLX: the oQ4e MLX build is 432 GB, and a community run of the base checkpoint measured ~20 tok/s on an M3 Ultra with MTP off. Upstream llama.cpp support is still an open PR (#28696), and Ollama is cloud-only.
MIT licence · 552B MoE · 1000K context · LLMCheck capability 50/50 · see its leaderboard rank →
DeepSeek V4.1 Flash needs about 434 GB of unified memory. These current Apple Silicon Macs have the headroom to run it comfortably:
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