Model reference · open weights
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.
Summary of the deepseek-ai/DeepSeek-V3.1-Terminus model card, 2026-10-01
What it is
| Released by | DeepSeek |
|---|---|
| Released | 2025-09-22 |
| Parameters | 684.5B |
| VRAM | 689 GB for the weights |
What it runs on
| Card | Requests at once | Context max | Memory | |
|---|---|---|---|---|
| 8K each | 32K each | |||
| RTX 3060 12 GB … 8× A100 80 GB 14 smaller cards | — | — | — | |
| 8× H200 141 GB tensor parallel | 70 | 17 | all 160K | 138 GB a card |
| 8× B200 180 GB tensor parallel | 124 | 31 | all 160K | 176 GB a card |
| Requests at once | 8K tokens each | 32K tokens each |
|---|---|---|
| 1 | 692 GB | 693 GB |
| 5 | 694 GB | 702 GB |
| 8 | 696 GB | 709 GB |
| 16 | 700 GB | 728 GB |
| 32 | 709 GB | 765 GB |
| 64 | 728 GB | 838 GB |
One card, with vLLM's small-card settings.
From the model card
This update maintains the model's original capabilities while addressing issues reported by users, including:
| Benchmark | DeepSeek-V3.1 | DeepSeek-V3.1-Terminus |
|---|---|---|
| Reasoning Mode w/o Tool Use | ||
| MMLU-Pro | 84.8 | 85.0 |
| GPQA-Diamond | 80.1 | 80.7 |
| Humanity's Last Exam | 15.9 | 21.7 |
| LiveCodeBench | 74.8 | 74.9 |
| Codeforces | 2091 | 2046 |
| Aider-Polyglot | 76.3 | 76.1 |
| Agentic Tool Use | ||
| BrowseComp | 30.0 | 38.5 |
| BrowseComp-zh | 49.2 | 45.0 |
| SimpleQA | 93.4 | 96.8 |
| SWE Verified | 66.0 | 68.4 |
| SWE-bench Multilingual | 54.5 | 57.8 |
| Terminal-bench | 31.3 | 36.7 |
The template and tool-set of search agent have been updated, which is shown in assets/search_tool_trajectory.html.
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.
This repository and the model weights are licensed under the MIT License.
@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},
}
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.