LLM Reference

DeepSeek V2

Released
2024-05-06
Last refreshed
2026-04-19
Status
Researched 145d ago
Open weightsCommercial use: permittedRAGLong contextClassificationJSON / Tool use

DeepSeek V2 is worth evaluating for rag, long context, and classification when its provider route and context window match the workload.

Use it for

  • Teams evaluating rag, long context, and classification
  • Workloads that can use a 128k context window
  • Buyers comparing 1 tracked provider route

Do not use it for

  • Vision or document-understanding workloads
Specifications
Released
2024-05-06
Context
128k
Parameters
236B
Architecture
Mixture of Experts
Specialization
general
Openness
Open weights
License
DeepSeek LicenseCommercial use: permitted
Weights
Available
Code
Unknown
Training
Fine-tuned
Created by

Advancing artificial general intelligence (AGI).

Hangzhou, Zhejiang, China
Founded 2023
Website
Pricing
Output / 1M
$0.280
Input / 1M
$0.140

Cheapest of 1 route · DeepSeek Platform

About

DeepSeek-V2 with Mixture of Experts. 236B total parameters with 21B active. 128K context window.

Top use-case fit

RAG

Included by capability and metadata signals in the decision map.

Long context

Included by capability and metadata signals in the decision map.

Classification

Included by capability and metadata signals in the decision map.

Capabilities

Structured Outputs

Benchmark peer barsfor RAG

No task-mapped benchmark peers are available for this model yet.

Migration checks

No linked migration route is available for this model yet.