DeepSeek V4 Flash 0731
DeepSeek V4 Flash 0731 is a 284B-parameter model you reach through an API, with 13B parameters active per token — too large to self-host, so this page covers what it does, how to access it, and what to run locally instead.
You don't run DeepSeek V4 Flash 0731 locally
At 284B parameters (13B active per token), a Q4-class build of DeepSeek V4 Flash 0731 would need roughly 170 GB — a 256GB Mac Studio could hold the weights in principle, but no registry-verified local build exists today (0.6 GB per billion parameters, our standard Q4 rule). Access is through the hosted API.
Official 0731 release (Jul 31, 2026, MIT), superseding the April preview: same architecture, re-post-trained with far stronger agent skills. 284B total, 13B active MoE, 1M context. Community 2-bit dynamic quants fit 128GB Macs via MLX, llama.cpp and the ds4 engine. No Ollama library tag yet.
Strong local alternatives
More DeepSeek models
Frequently asked questions
Can I run DeepSeek V4 Flash 0731 locally?
Not realistically. DeepSeek V4 Flash 0731 is a 284B-parameter model (13B active); a Q4-class build would need roughly 170 GB — a 256GB Mac Studio could hold the weights in principle, but no registry-verified local build exists today. The hosted API or a smaller open model is the practical path.
How do I access DeepSeek V4 Flash 0731?
Through the vendor-hosted API. See the official source linked on this page.
What is the best local alternative to DeepSeek V4 Flash 0731?
Qwen3 235B A22B is the strongest local model we track (235B). It runs on a single high-memory Mac or GPU; see its page for exact hardware.
Cite this page
ModelFit: DeepSeek V4 Flash 0731 — specs, memory math and hardware verdicts. https://modelfit.io/models/deepseek-v4-flash/ (dataset updated 2026-09-03, CC BY 4.0).