Model reference · open weights

DeepSeek-Terminus

LLMs deepseek-ai Text gen 1 build Open weights 16k dl/mo

DeepSeek-Terminus is an open-weight language model from DeepSeek. DeepSeek-V3.1-Terminus (FP8) weighs 689 GB; the smallest configuration that runs it is 8× H200 141 GB.

  • DeepSeek-Terminus is a 684.5B parameter text-generation model developed by DeepSeek.
  • It is designed to improve language consistency and agent capabilities, specifically for Code and Search agents.
  • The model supports a context length of 163,840 tokens and is released under the MIT license.

Summary of the deepseek-ai/DeepSeek-V3.1-Terminus model card, 2026-10-01

What it is

Released byDeepSeek
Released2025-09-22
Parameters684.5B
VRAM689 GB for the weights

What it runs on

Memory and cards for DeepSeek-V3.1-Terminus (FP8)

689 GBweights, file size
70 MBcache per 1K tokens
2.4 GBruntime overhead, at least
163,840 tokenscontext max
CardRequests at onceContext maxMemory
8K each32K each
RTX 3060 12 GB … 8× A100 80 GB
14 smaller cards
———
8× H200 141 GB
tensor parallel
7017all 160K138 GB a card
8× B200 180 GB
tensor parallel
12431all 160K176 GB a card
Memory needed at each load
Requests at once8K tokens each32K tokens each
1692 GB693 GB
5694 GB702 GB
8696 GB709 GB
16700 GB728 GB
32709 GB765 GB
64728 GB838 GB

One card, with vLLM's small-card settings.

From the model card

What DeepSeek says about DeepSeek-Terminus

Read the model card

Introduction

This update maintains the model's original capabilities while addressing issues reported by users, including:

  • Language consistency: Reducing instances of mixed Chinese-English text and occasional abnormal characters;
  • Agent capabilities: Further optimizing the performance of the Code Agent and Search Agent.
BenchmarkDeepSeek-V3.1DeepSeek-V3.1-Terminus
Reasoning Mode w/o Tool Use
MMLU-Pro84.885.0
GPQA-Diamond80.180.7
Humanity's Last Exam15.921.7
LiveCodeBench74.874.9
Codeforces20912046
Aider-Polyglot76.376.1
Agentic Tool Use
BrowseComp30.038.5
BrowseComp-zh49.245.0
SimpleQA93.496.8
SWE Verified66.068.4
SWE-bench Multilingual54.557.8
Terminal-bench31.336.7

The template and tool-set of search agent have been updated, which is shown in assets/search_tool_trajectory.html.

How to Run Locally

The model structure of DeepSeek-V3.1-Terminus is the same as DeepSeek-V3. Please visit DeepSeek-V3 repo for more information about running this model locally.

For the model's chat template other than search agent, please refer to the DeepSeek-V3.1 repo.

Here we also provide an updated inference demo code in the inference folder to help the community get started with running our model and understand the details of model architecture.

NOTE: In the current model checkpoint, the parameters of self_attn.o_proj do not conform to the UE8M0 FP8 scale data format. This is a known issue and will be corrected in future model releases.

License

This repository and the model weights are licensed under the MIT License.

Citation

@misc{deepseekai2024deepseekv3technicalreport,
      title={DeepSeek-V3 Technical Report},
      author={DeepSeek-AI},
      year={2024},
      eprint={2412.19437},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2412.19437},
}

Contact

If you have any questions, please raise an issue or contact us at service@deepseek.com.

Quoted from the model card on Hugging Face. The full card is behind the Hugging Face link above.

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