Text / deepseek-ai

DeepSeek V4 Flash

DeepSeek V4 Flash is a preview Mixture-of-Experts language model in the DeepSeek V4 series. It has 284B parameters with 13B activated and supports a context length of one million tokens. The model uses a hybrid attention architecture (Compressed Sparse Attention and Heavily Compressed Attention), Manifold-Constrained Hyper-Connections, and the Muon optimizer. It was pre-trained on over 32T tokens and post-trained with a two-stage paradigm. Its repository is deepseek-ai/DeepSeek-V4-Flash, it is licensed under MIT, and its pipeline is text-generation.

EstimatedRepository opened Apr 22, 2026Source checked 9/24/2026Version: 60d8d707
LOCALRENTED GPUOPEN WEIGHTS
Freshness 51 out of 100. Repository age: 176 days old, Apr 22, 2026. Measures age, not quality.
Popularity 81 out of 100. 805,960 downloads in 30 days; 2,324 lifetime likes. Checked Oct 15, 2026. Measures adoption, not quality.
Arena Open Source Text: rank 25 of 225. Ranked model: deepseek-v4-flash. Export dated Oct 13, 2026. Source checked Oct 15, 2026. Human preference ranking, not hardware suitability.
Category rankings & sources

Each position belongs to a separate Arena category. These are human preference rankings—not hardware recommendations. We do not combine the categories into one score.

Text#25of 225 open models
deepseek-v4-flashdeepseekLicense: MIT
Export dated Oct 13, 2026Checked: Oct 15, 2026Overall board: #104
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Rankings reflect the dated export; live Arena boards can change. Open-source positions use Arena’s open-model filter. The overall position also includes the other models on that category board. Availability of weights and license terms still need to be checked separately.

What do these scores mean?

Two ways to compare models. Neither score measures answer quality, benchmark performance, or whether a model fits your machine.

Freshness · release age

A new release starts at 100. The score halves every 180 days: 100 × 2^(−age in days / 180). When the release date is unavailable, a repository date is a fallback—not proof of when the model was released. Missing dates stay unscored.

Check the date source
Popularity · adoption

Downloads over the past 30 days carry 80% of the score; lifetime likes carry 20%. Both use a logarithmic scale, capped at 10 million downloads and 100,000 likes. If likes are unavailable, downloads carry all the weight. Missing download statistics stay unscored.

round(80 × min(1, log10(1 + downloads) / 7) + 20 × min(1, log10(1 + likes) / 5))

Check the statistics source
Scores as of Oct 15, 2026. Statistics checked Oct 15, 2026. Statistics are marked for refresh after 72 hours.Full scoring method

At a glance

Parameters
290.94B
Architecture
deepseek_v4
Context length
1,048,576
License
mit
Disk space
148.7 GB
Software
Publisher PyTorch reference
View the model source
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Best for

  • Long-context text generation and understanding up to one million tokens.
  • Coding tasks.
  • Reasoning tasks.
  • Agentic tasks.
  • Text generation via a text-generation pipeline.

Tradeoffs

  • Preview version, not a final release.
  • Smaller parameter scale than DeepSeek-V4-Pro, which may affect some capabilities.
  • Detailed performance and compatibility requirements are not specified in the provided facts.
  • No hardware requirements or tested configurations are provided.
  • No information is provided about fine-tuning, quantization, or deployment constraints.

Ways to run it

Publisher PyTorch reference · Linux / rented GPU

Repository-specific command in publisher documentation; confirm dependencies and hardware in the source.

torchrun --nproc-per-node ${MP} generate.py --ckpt-path ${SAVE_PATH} --config ${CONFIG} --interactive
Official instructions

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DeepSeek V4 Flash: hardware, VRAM & setup | YouRunAI