Model reference · open weights

DeepSeek-Terminus

Available as managed deployment LLMs deepseek-ai Text gen 1 variants 16k dl/mo

DeepSeek-Terminus is an open-weight language model from deepseek-ai. AxForge deploys and operates it for you on dedicated EU-owned hardware — with the licence handled where one is required.

Available as managed deployment — configured and operated for you on dedicated EU hardware, quoted per deployment.

What it is

Makerdeepseek-ai
TypeLanguage models
TaskText gen
Parameters (lead)684.5B
Context160k tokens
Runs withtransformers
Based ondeepseek-ai/DeepSeek-V3.1-Base
Released2025-09-22
Popularity16k downloads / month
LicenceOpen weights

About

What DeepSeek-Terminus is

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.

From the published model card. Full card on the HuggingFace links in the sidebar.

Using it via the API

Call it like any OpenAI endpoint

Once AxForge deploys deepseek-terminus for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (deepseek-terminus below is illustrative; you get the exact model name on deployment.)

$ curl -sS https://api.axforge.ai/v1/chat/completions \
  -H "Authorization: Bearer $AXFORGE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"deepseek-terminus","messages":[{"role":"user","content":"Hello"}]}'

Create an account — your API key is available in the console. 5M tokens/month currently included with every new account at launch.

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