Project AURIONAI Use-Cases Research & Innovation
DeepSeek
LLMfamily

DeepSeek V4

DeepSeek's V4 family of MIT-licensed MoE models with 1M context.

Figure from the DeepSeek V4 model card.
Levelfamily
ClassLLM
Parametersnot in the notes
Contextnot in the notes
Released22 Apr 2026
Opennessopen weights permissive
Runs onnot in the notes
Statusactive

From the model's own page; who made each picture and where it comes from are listed on the Image Credits page.

Benchmark Results

vendor-reportedindependent
Arena Text leaderboardhuman preference arena
DeepSeek-V4.1-Flashdeepseek-v4.1-flash-maxindependent
1,475 ±7
rank 39, Arena Text overall8 Oct 2026 arena.ai
DeepSeek-V4-Pro-0813deepseek-v4-pro-high-20260813independent
1,465 ±7
1,2001,4001,600

Score in Elo; the axis starts at 1,200, as Elo has no zero. Higher is better.

Arena Text overall8 Oct 2026 arena.ai
DeepSeek-V4.1-Flashmaxindependent
39
03060

Score in index. Higher is better.

AA leaderboard, 205 current models10 Oct 2026 artificialanalysis.ai
DeepSeek-V4-Provendor-reported
3,206
02,0004,000

Score in rating. Higher is better.

DeepSeek-V4.1-Flashmini-SWEvendor-reported
74.2
050100

Score in %. Higher is better.

GPQA Diamondknowledge and reasoning
DeepSeek-V4-Flashvendor-reported
89.9
050100

Score in %. Higher is better.

Humanity's Last Exam (HLE)knowledge and reasoning
DeepSeek-V4-Provendor-reported
37.7
050100

Score in %. Higher is better.

MMLU-Proknowledge and reasoning
DeepSeek-V4-Provendor-reported
87.5
050100

Score in %. Higher is better.

Terminal-Bench 2.1agents and tool use
DeepSeek-V4.1-FlashDeepSeek Harness Minimalvendor-reported
90.6
050100

Score in %. Higher is better.

Terminal-Bench 2.0agents and tool use
DeepSeek-V4-Flashvendor-reported
56.9
050100

Score in %. Higher is better.

Terminal-Bench 4.0agents and tool use
DeepSeek-V4.1-Flashvendor-reported
31.2
050100

Score in %. Higher is better.

Terminal-Bench 3.0agents and tool use
DeepSeek-V4.1-Flashvendor-reported
30
01530

Score. Higher is better.

Where this comes from
Every score names who ran it: vendor-reported, maintainer-run or independent. A rank is shown with the population it was ranked in (gap rule 3).

Lineage

Where this comes from
Parent and child relations from model cards, Hugging Face base_model fields and the genealogy tables of the research notes. Confidence and evidence are the notes' own.

R&D Topics

Identity

Developer
DeepSeek
Family
not in the notes
Released
22 Apr 2026 sourcesregistry date
Weights published
–
Record checked
10 Oct 2026
Where this comes from
Developer and dates from the research notes. Release date is the vendor's public announcement; weights date is when open weights were published.

Architecture and Size

Architecture
MoE
Total parameters
– sources
Active parameters
–
Checkpoint parameters
–
Context length
not in the notes
Input
text
Output
text
Where this comes from
Parameter counts as the developer states them. Where the checkpoint holds a different total, both are shown (register A16).

Openness and Access

Openness
open weights permissive
Licence
MIT License sources
Access routes
open weights download
Where this comes from
The licence file governs over registry tags and aggregator labels.

Deployment

Runs on
not in the notes
Footprint
not in the notes
Runtimes
not in the notes
Where this comes from
Deployment tiers and runtimes as named in the notes. Footprint is the notes' figure, not a measurement by AURION.

Indonesia

Indonesian support
not stated
Regional languages
not in the notes
Jakarta hosting
unknown
Languages
not in the notes
Where this comes from
Indonesia fields are carried on every model; unknown is an allowed value.

Industry Use Cases

No industry use case links this model.

Sources

  1. DeepSeek Releases V4: Open-Source 1.6T MoE with 1M Context rits.shanghai.nyu.edu https://rits.shanghai.nyu.edu/ai/deepseek-releases-v4-open-source-1-6t-moe-with-1m-context
  2. deepseek-ai/DeepSeek-V4-Pro , Hugging Face huggingface.co https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro
  3. deepseek-ai (DeepSeek) huggingface.co https://huggingface.co/deepseek-ai
  4. GitHub - NVIDIA/TensorRT-LLM: TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports github.com https://github.com/NVIDIA/TensorRT-LLM

To cite this page: Project AURION, AI Use-Cases Research & Innovation, "DeepSeek V4", https://aurion.semai.id/models/deepseek-deepseek-v4/, records of October 2026.