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DeepSeek-V4

The open-source era of 1M context intelligence

Details

External ID
1131158
Source
PH
Company
—
Product
DeepSeek-V4
Website domain
producthunt.com
Launched
April 24, 2026
Cohort
—
Upvotes
393
Upvotes percentile
0.8091787439613527
Tags
Open Source, Artificial Intelligence, Development
Fetched at
Sept. 7, 2026, 1:22 a.m.
Updated at
Sept. 7, 2026, 1:22 a.m.

Description

DeepSeek-V4 Preview is a new series of highly efficient MoE language models, featuring V4-Pro (1.6T params) and V4-Flash (284B params). Both models support a 1 million token context window by default, utilizing a novel hybrid attention architecture to drastically reduce compute and memory costs.

Enrichment

Theme
DeepSeek model deployment and inference
Vertical
Horizontal
Function
Model & infra
Audience
Developer
AI stance
AI-native
Project type
Hobby / open-source project
Normalized one-liner
open-source language model with long context
Manually corrected
False

Could you build this?

No Training and releasing frontier-tier 1.6T parameter MoE foundation models with custom hybrid attention architectures requires tens of millions of dollars in compute, massive GPU clusters, and world-class AI research teams.

What it would actually take: Creating frontier models like DeepSeek-V4 requires massive multi-node training infrastructure (thousands of H800/H100 GPUs interconnected via InfiniBand), proprietary distributed training frameworks (tensor/pipeline/expert parallelism), petabyte-scale curated pretraining datasets, custom CUDA/Triton kernels for hybrid attention, and an expert research team in large-scale deep learning.

Competitors

Other products that read as similar to this one — 120 launches clear the similarity bar, closest 8 shown.

Attention rank: #34 of 121 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 171 days after the earliest competitor.

Other launches for this product

Same idea, different domain

Nobody's really built a model & infra tool for Fintech yet.