DeepSeek Advanced

DeepSeek-Coder-V2 Lite

DeepSeek-Coder-V2 Lite is a 16B-total, 2.4B-active coding MoE family with 128K context. Its old provider API identity has been superseded.

Coding ModelsText Open Source

In plain English

What is this model and why does it matter?

DeepSeek-Coder-V2 Lite is the smaller 16B-total, 2.4B-active MoE coding family with 128K context and 338 programming languages.

Local coding researchLong-context code analysisLegacy DeepSeek Coder compatibilityMoE experiments

Model overview

DeepSeek-Coder-V2 Lite: features, use cases and important details

DeepSeek-Coder-V2 Lite is the smaller member of DeepSeek’s Coder V2 family. DeepSeek published both Lite Base and Lite Instruct checkpoints with 16 billion total parameters, 2.4 billion active parameters and a 128K context window.

Coding focus

DeepSeek expanded programming-language coverage from 86 languages in the earlier Coder generation to 338 in Coder V2. The family was trained for code generation, completion, debugging, mathematics and general reasoning while using a mixture-of-experts architecture to reduce the number of active parameters per token.

API lifecycle

The historical deepseek-coder API was upgraded through Coder V2 and then merged with DeepSeek Chat into DeepSeek-V2.5 on September 5, 2024. This means Coder V2 Lite should not be presented as a current DeepSeek API model or assigned today’s DeepSeek token prices.

Current use

The weights remain useful for local research, long-context coding experiments and compatibility work. New hosted integrations should use the provider’s current model lineup instead.

Get started

How to use this model

Choose the Lite Base or Lite Instruct checkpoint based on your task.
Download the official DeepSeek weights.
Review the DeepSeek Model License.
Run with a compatible Transformers or inference setup.
Use current DeepSeek models for new provider API integrations.

Copy and try

Example prompts

Explain this repository structure and identify the main data flow.
Complete the missing function using the surrounding code.
Refactor this module and list potential regressions.

Capabilities

What it can do

Code generation
Code completion
128K context
338 programming languages
MoE efficiency

Best for

Practical use cases

Local code assistants
Repository analysis
Coding research
Historical compatibility

Pricing

What does it cost?

Historical open-weight model family. The deepseek-coder API identity was replaced by DeepSeek-V2.5 and should not be given current API pricing.

Simple summaryWeights remain downloadable under the DeepSeek Model License. The historical API has been superseded, so deployment cost is now self-hosting or third-party infrastructure.

What stands out

128K context
Only 2.4B active parameters
Wide programming-language support
Official downloadable weights

Things to consider

Historical API generation
Custom model license
Older than current DeepSeek coding models

Limitations

Important restrictions and trade-offs

The old deepseek-coder API no longer represents this model
Can generate incorrect or insecure code
Long context does not guarantee correct repository-level reasoning

SimplifyAITools verdict

Our editorial take

A useful historical lightweight coding checkpoint family for self-hosting, but not a current DeepSeek API choice.

References