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Model Library
/Deepseek/DeepSeek V3.1 Terminus
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DeepSeek V3.1 Terminus

Ready
model path:accounts/fireworks/models/deepseek-v3p1-terminus

DeepSeek-V3.1-Terminus is an updated version of DeepSeek-V3.1 with enhanced language consistency, reduced mixed Chinese-English text, and optimized Code Agent and Search Agent performance.

DeepSeek V3.1 Terminus API Features

Fine-tuning

Docs

DeepSeek V3.1 Terminus can be customized with your data to improve responses. Fireworks uses LoRA to efficiently train and deploy your personalized model

On-demand Deployment

Docs

On-demand deployments allow you to use DeepSeek V3.1 Terminus on dedicated GPUs with Fireworks' high-performance serving stack with high reliability and no rate limits.

DeepSeek V3.1 Terminus FAQs

What is DeepSeek V3.1 Terminus and who developed it?

DeepSeek V3.1 Terminus is an updated version of DeepSeek V3.1 developed by DeepSeek AI. This release improves language consistency (reducing mixed Chinese-English output), and enhances the performance of the Code Agent and Search Agent.

What applications and use cases does DeepSeek V3.1 Terminus excel at?

DeepSeek V3.1 Terminus is well-suited for:

  • Code assistance
  • Conversational AI
  • Agentic systems
  • Search
  • Enterprise RAG (retrieval-augmented generation)
  • Multimedia tasks
What is the maximum context length for DeepSeek V3.1 Terminus?

The model supports a context length of 163,840 tokens on Fireworks AI.

How many parameters does DeepSeek V3.1 Terminus have?

The model has 685 billion parameters.

Is fine-tuning supported for DeepSeek V3.1 Terminus?

Yes. Fireworks supports fine-tuning this model using LoRA (Low-Rank Adaptation).

What rate limits apply on the shared endpoint?

When deployed on-demand (dedicated GPUs), no rate limits apply.

What license governs commercial use of DeepSeek V3.1 Terminus?

DeepSeek V3.1 Terminus is released under the MIT License, allowing commercial use.

Metadata

State
Ready
Created on
9/23/2025
Kind
Base model
Provider
Deepseek

Specification

Calibrated
Yes
Mixture-of-Experts
Yes
Parameters
674B

Supported Functionality

Fine-tuning
Supported
Serverless
Not supported
Context Length
163k tokens
Function Calling
Supported
Embeddings
Not supported
Rerankers
Not supported
Support image input
Not supported