DeepSeek-V3-0324

DeepSeek-V3-0324 is a 671B-parameter model you reach through an API, with 37B 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.

PARAMETERS

671B (37B active)

FORMAT

API

RUNS LOCALLY

BEST FOR

Quality, Coding

You don't run DeepSeek-V3-0324 locally

At 671B parameters (37B active per token), a Q4-class build of DeepSeek-V3-0324 would need roughly 403 GB — only a maxed-out 512GB Mac Studio could even hold the weights, with no real headroom (0.6 GB per billion parameters, our standard Q4 rule). Access is through the hosted API.

Cloud/API only DeepSeek-V3-0324, March 2025 update with enhanced reasoning capabilities.

Strong local alternatives

Qwen3 235B A22B

235B — runs on one machine

Qwen3.5 122B-A10B Instruct

122B — runs on one machine

DeepSeek-R1 671B

671B — runs on one machine

More DeepSeek models

DeepSeek-R1 Distill Qwen 7B DeepSeek-R1 Distill Qwen 14B DeepSeek-R1 Distill Llama 70B DeepSeek V4 Flash 0731 DeepSeek-R1 671B DeepSeek-V3 DeepSeek-R1 DeepSeek V4 Pro

Frequently asked questions

Can I run DeepSeek-V3-0324 locally?

Not realistically. DeepSeek-V3-0324 is a 671B-parameter model (37B active); a Q4-class build would need roughly 403 GB — only a maxed-out 512GB Mac Studio could even hold the weights, with no real headroom. The hosted API or a smaller open model is the practical path.

How do I access DeepSeek-V3-0324?

Through the vendor-hosted API. See the official source linked on this page.

What is the best local alternative to DeepSeek-V3-0324?

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-V3-0324 — specs, memory math and hardware verdicts.
https://modelfit.io/models/deepseek-v3-0324/ (dataset updated 2026-09-03, CC BY 4.0).