# DeepSeek Training 2T-Parameter Model, Plans 8T-Parameter Model Next

> Reddit r/LocalLLaMA: DeepSeek is training a 2-trillion parameter model, with plans for an 8-trillion parameter model in the future.

- **Topic**: Models
- **Published**: 2026-09-22T02:13:36.510Z
- **Read Time**: 1 min read
- **Canonical URL**: https://highsignal.sh/stories/deepseek-training-2t-parameter-model-plans-8t-parameter-model-next-1379f866

## Why It Matters

Scaling from 2T to 8T parameters marks a major leap in model size, signaling DeepSeek's ambitions to compete at the highest levels of AI development.

## Key Findings & Analysis

### DeepSeek Announces 2T and 8T Model Plans

DeepSeek is currently training a 2-trillion parameter AI model and has stated plans to build an 8-trillion parameter model in the future.

### Context: Previous DeepSeek Models

The discussion outlines current DeepSeek models, including a 'Pro' model at 1.6T parameters, which contrasts with the more ambitious 2T and 8T parameter targets.

## Original Evidence & Verbatim Citations

> "DeepSeek is training a 2T-parameter model and plans to eventually build an 8T-parameter model."

— *Grounded field: headline*

> "DeepSeek is training a 2T-parameter model and plans to eventually build an 8T-parameter model."

— *Grounded field: summary*

> "DeepSeek is training a 2T-parameter model and plans to eventually build an 8T-parameter model."

— *Grounded field: whyItMatters*

> "DeepSeek is training a 2T-parameter model and plans to eventually build an 8T-parameter model."

— *Grounded field: section:0*

> "Current DeepSeek models: Flash parameter count of 552 billion Pro: 1.6T (trillion) total parameters with 49B (billion) activated weights per token"

— *Grounded field: section:1*

## Primary Sources & Citations

- [Deepseek training 2T and plans 8T model](https://www.reddit.com/r/LocalLLaMA/comments/1wmblx1/deepseek_training_2t_and_plans_8t_model/) — *Reddit r/LocalLLaMA* (Community discussion)

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