LLM Reference

DeepSeek Coder V2

Released
2024-06-17
Last refreshed
2026-05-19
Status
Researched 26d ago
Open WeightsCommercial use allowedCodingLong context

DeepSeek Coder V2 is worth evaluating for coding and long context when its provider route and context window match the workload.

Use it for

  • Teams evaluating coding and long context
  • Workloads that can use a 128k context window
  • Buyers comparing 2 tracked provider routes

Do not use it for

  • Vision or document-understanding workloads
  • Strict JSON or tool-calling flows
Specifications
Released
2024-06-17
Context
128k
Parameters
236B
Architecture
Mixture of Experts
Knowledge cutoff
2023-11
Specialization
code
Openness
Open weights
License
DeepSeek LicenseCommercial use allowed
Training
Fine-tuned
Fine-tuning
base
Created by

Advancing artificial general intelligence (AGI).

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

Cheapest of 2 routes · DeepSeek Platform

About

DeepSeek Coder V2 is a language model from DeepSeek focused on code generation and software engineering. It offers a 128K-token context window with weights openly available for self-hosting.

DeepSeek Coder V2 is an open-weight model. The structured metadata tracks a 128k-token context window. This page tracks provider routes through DeepSeek Platform and Fireworks AI, with the cheapest tracked route listed at $0.14 input and $0.28 output per 1M tokens. No headline benchmark score is tracked for DeepSeek Coder V2 yet.

Top use-case fit: coding, agents, and build tasks

Coding

Included by capability and metadata signals in the decision map.

Long context

Included by capability and metadata signals in the decision map.

Capabilities

No model capability flags are currently sourced.

Benchmark peer barsfor Coding

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

Migration checks

No linked migration route is available for this model yet.