Overview
DeepSeek-V2.5 is the previous-generation model from DeepSeek, offering strong performance at even lower costs than V3. It's an excellent choice for budget-conscious deployments that still need capable AI.
Architecture
236B MoE (21B active)
Context
128K tokens
Pricing
$0.07-0.27 / 1M tokens
Access
API + Open Weights
β Strengths
- βExtremely low cost (cheapest in class)
- βStill competitive on most benchmarks
- βOpen weights available
- βEfficient MoE architecture
- βGood for high-volume applications
β οΈWeaknesses
- βOutperformed by V3 and R1
- βChinese company - data privacy concerns
- βLess capable at complex reasoning
- βMay have content restrictions
Best Use Cases
π° Budget Apps
Cost-sensitive tasks
π¬ Chatbots
Customer support
π Content
Drafting, editing
π Translation
Multilingual apps
π Classification
Sentiment, topics
π Learning
AI experimentation
Benchmarks
MMLU85.2%
HumanEval82.5%
MATH87.4%