DeepSeek V2 Models by DeepSeek
Last refreshed 2026-05-22. Next refresh: weekly.
Details
Capabilities
About
The DeepSeek V2 family offers an array of large language models (LLMs) noted for their economic scalability and efficacy in inference. Its flagship, DeepSeek V2, features 236 billion parameters with 21 billion activated per token, allowing a substantial context length of 128,000 tokens 15. Leveraging advanced architectures such as Multi-head Latent Attention (MLA) and DeepSeekMoE, it achieves significant efficiency by compressing the key-value cache and employing sparse computation 1. The models are pretrained on a vast 8.1 trillion token dataset and refined through supervised fine-tuning and reinforcement learning 1. For more compact needs, DeepSeek V2-Lite offers a 16 billion parameter model, manageable on a single 40GB GPU 8. Additionally, DeepSeek Coder V2 caters specifically to programming, supporting 338 languages 2, while DeepSeek V2.5 blends general and coding abilities to enhance benchmarks 3. This family is recognized for balancing high performance with resource efficiency.
Decision facts
- Best fit
- JSON / Tool usestructured outputscoding
- Capability starting point
- DeepSeek V2.5 with 128k context and JSON / Tool use
- Lowest tracked input
- DeepSeek V2 · $0.14/1M · DeepSeek Platform
- Closest related family
- Janus
Current Variants
Use-when guidance is based on each model's tracked capabilities, context window, release date, and replacement status.
Use when the workload needs 128k context and JSON / Tool use.
Use when the workload needs 128k context and 236B parameters.
Use when the workload needs 32k context and 16B parameters.
Use when the workload needs 32k context and 16B parameters.
Use when the workload needs 128k context, 236B parameters, and structured outputs.
Use when the workload needs 128k context and 236B parameters.
| Model | Use when | Released | Signals | Status |
|---|---|---|---|---|
| DeepSeek V2.5 | Use when the workload needs 128k context and JSON / Tool use. | 2024-07 | 128k contextJSON / Tool use | Current |
| DeepSeek V2 Chat (0628) | Use when the workload needs 128k context and 236B parameters. | 2024-06 | 128k context236B parameters | Current |
| DeepSeek V2 Lite | Use when the workload needs 32k context and 16B parameters. | 2024-05 | 32k context16B parameters | Current |
| DeepSeek V2 Lite Chat | Use when the workload needs 32k context and 16B parameters. | 2024-05 | 32k context16B parameters | Current |
| DeepSeek V2 | Use when the workload needs 128k context, 236B parameters, and structured outputs. | 2024-05 | 128k context236B parametersstructured outputs | Current |
| DeepSeek V2 Chat | Use when the workload needs 128k context and 236B parameters. | 2024-05 | 128k context236B parameters | Current |
Release Timeline
3 release groupsSpecifications(6 models)
| Model | Released | Context | Parameters | JSON / Tool use | Structured Outputs |
|---|---|---|---|---|---|
| DeepSeek V2.5 | 2024-07 | 128k | 238B total, 21B active (MoE) | Yes | No |
| DeepSeek V2 Chat (0628) | 2024-06 | 128k | 236B | No | No |
| DeepSeek V2 Lite | 2024-05 | 32k | 16B | No | No |
| DeepSeek V2 Lite Chat | 2024-05 | 32k | 16B | No | No |
| DeepSeek V2 | 2024-05 | 128k | 236B | No | Yes |
| DeepSeek V2 Chat | 2024-05 | 128k | 236B | No | No |
Available From(2 providers)
Pricing
| Model | Provider | Input / 1M | Output / 1M | Type |
|---|---|---|---|---|
| DeepSeek V2 | DeepSeek Platform | $0.14 | $0.28 | Serverless |
| DeepSeek V2 Lite Chat | Fireworks AI | $0.2 | $0.2 | Serverless |
| DeepSeek V2.5 | Fireworks AI | $0.56 | $1.68 | Serverless |
Related Model Families
Models(6)
DeepSeek V2.5
DeepSeek V2 Chat (0628)
DeepSeek V2 Lite
DeepSeek V2 Lite Chat
DeepSeek V2
DeepSeek V2 Chat