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DeepSeek V3.1

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

DeepSeek-V3.1 is post-trained on the top of DeepSeek-V3.1-Base, which is built upon the original V3 base checkpoint through a two-phase long context extension approach, following the methodology outlined in the original DeepSeek-V3 report. We have expanded our dataset by collecting additional long documents and substantially extending both training phases. The 32K extension phase has been increased 10-fold to 630B tokens, while the 128K extension phase has been extended by 3.3x to 209B tokens. Additionally, DeepSeek-V3.1 is trained using the UE8M0 FP8 scale data format to ensure compatibility with microscaling data formats.

DeepSeek V3.1 API Features

On-demand Deployment

Docs

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

Metadata

State
Ready
Created on
21 AUG, 2025
Kind
Base model
Provider
Deepseek

Specifications

Calibrated
Yes
Mixture-of-Experts
Yes
Parameters
674B

Supporting Functionality

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

DeepSeek V3.1 FAQs

DeepSeek V3.1 is a hybrid large language model (LLM) developed by DeepSeek AI. It is a post-trained variant of DeepSeek V3.1-Base, which itself builds on the original V3 base through a two-phase long context extension process.