Last reviewed: April 24, 2026
Page status: This is a historical model-family overview. It explains what DeepSeek Coder was, why it mattered for programming tasks, and how the older deepseek-coder hosted API alias changed during 2024. It should not be used as the live DeepSeek API model-selection page, pricing page, or implementation checklist.
Important current API note: DeepSeek Coder is not presented here as a current hosted DeepSeek API model ID. For current hosted API work, always verify the live model list, pricing, context limits, and migration notes in the official DeepSeek API documentation and in Chat-Deep.ai’s current Models hub, API guide, and pricing page.
Independent-site disclosure: Chat-Deep.ai is an independent DeepSeek guide and browser chat site. It is not affiliated with, endorsed by, or operated by DeepSeek, DeepSeek.com, the official DeepSeek app, the official DeepSeek chat service, or the official DeepSeek developer platform.
Current API Status vs Historical DeepSeek Coder
The most important distinction on this page is the difference between historical DeepSeek Coder releases and the current hosted DeepSeek API surface.
| Topic | Correct interpretation |
|---|---|
| DeepSeek Coder | A historical coding-focused open-weight model family, useful for model history, local experimentation, code-model research, and archived benchmark context. |
deepseek-coder | A historical hosted API alias that moved through DeepSeek-Coder-V2 updates in 2024 and was later merged into DeepSeek V2.5 for backward compatibility. It should be treated as a legacy alias rather than a current primary API model ID. |
| Current hosted API model IDs | Refer to the official DeepSeek API documentation for the current model list. At the time of writing, deepseek-v4-flash and deepseek-v4-pro are listed as the primary API model IDs. |
| Legacy compatibility names | The official documentation describes deepseek-chat and deepseek-reasoner as legacy compatibility aliases scheduled for discontinuation. They should be treated as transitional names rather than current recommended API models. |
| Model selection decisions | Use the Models hub, API guide, pricing page, and official DeepSeek API documentation to confirm the current model list, capabilities, and pricing before selecting a hosted model. |
What DeepSeek Coder Was
DeepSeek Coder refers to an earlier family of code-focused DeepSeek models released as open-weight checkpoints. The family helped establish DeepSeek’s reputation in programming tasks, long-context code completion, code infilling, code explanation, and repository-level code understanding.
The original DeepSeek Coder materials describe the family as a series of code language models trained from scratch on a 2 trillion token corpus, with a mix of code and natural language in English and Chinese. The original line used project-level code data, a 16K window, and a fill-in-the-middle objective to support project-level completion and infilling.
This page is therefore useful for understanding DeepSeek’s coding-model history. It is not a statement that the original DeepSeek Coder family is the latest hosted DeepSeek model, the default DeepSeek API model, or the right model name to use in new hosted API examples.
Where DeepSeek Coder Fits in the Timeline
DeepSeek Coder began as a dedicated coding model family before later being absorbed into broader DeepSeek model development. The older hosted API alias changed meaning over time, so any old reference to deepseek-coder must be read in its release-period context.
| Period | Milestone | How to interpret it today |
|---|---|---|
| Original release period | Original DeepSeek Coder family | Historical open-weight code-specialized model family with Base and Instruct variants. |
| June 14, 2024 | deepseek-coder upgraded to DeepSeek-Coder-V2-0614 | Historical hosted coding alias update; useful for archived API notes and older benchmark discussions. |
| July 24, 2024 | deepseek-coder upgraded to DeepSeek-Coder-V2-0724 | Another historical alias update within the Coder V2 line. |
| September 5, 2024 | DeepSeek Chat and DeepSeek Coder paths merged into DeepSeek V2.5 | The old deepseek-coder alias became part of a backward-compatibility path rather than a separate long-term current coding model line. |
| Later DeepSeek generations | DeepSeek development moved beyond the original Coder family | Use current official API docs and Chat-Deep.ai’s current model pages for live implementation decisions. |
What the Original DeepSeek Coder Family Introduced
The first DeepSeek Coder release was designed specifically for programming tasks rather than broad general chat. Historically, that original family introduced several important characteristics:
- Code-first training mix: the original family was trained on 2T tokens with a composition described by DeepSeek as 87% code and 13% natural language in English and Chinese.
- Project-level code data: the training pipeline emphasized project-level code, not only isolated code snippets.
- Fill-in-the-middle training: the family used an extra fill-in-the-blank objective to support code insertion and infilling tasks.
- Multiple sizes: the original family included several sizes, described by DeepSeek as ranging from 1B to 33B versions, including 1B, 5.7B, 6.7B, and 33B options.
- Base and Instruct variants: the line included foundation-style checkpoints and instruction-tuned checkpoints for interactive coding use cases.
- 16K context: the original family used a 16K window, which was a meaningful capability for project-level code work at the time.
Historically, these releases targeted code generation, code completion, code explanation, repository-level code understanding, and code infilling across many programming languages. They should not be described as the current default hosted DeepSeek API interface.
DeepSeek-Coder-V2 Expanded the Coding Line
DeepSeek-Coder-V2 was the next major phase of the coding line. It moved the coding family onto a Mixture-of-Experts architecture and expanded scale, language coverage, context length, and reasoning ability.
- Continued pretraining: DeepSeek-Coder-V2 was further pre-trained from an intermediate DeepSeek-V2 checkpoint with an additional 6 trillion tokens.
- Broader programming-language coverage: DeepSeek described the V2 line as expanding programming-language support from 86 to 338 languages.
- Longer context: the V2 line extended context length from 16K to 128K.
- Two main MoE sizes: DeepSeek released 16B and 236B parameter variants based on the DeepSeekMoE framework.
- Active parameters: DeepSeek described the 16B and 236B variants as using 2.4B and 21B active parameters respectively.
- Base and Instruct availability: both major V2 sizes were released in base and instruct forms.
This was an important technical step in DeepSeek’s coding-model history. It also marked the period when the dedicated Coder line began blending into the broader DeepSeek roadmap instead of remaining only a standalone coding destination.
Model Snapshot
| Page scope | Historical overview of the DeepSeek Coder family |
|---|---|
| Primary historical focus | Code generation, completion, infilling, explanation, debugging support, and code understanding |
| Original family sizes | Multiple open-weight sizes, described by DeepSeek as ranging from 1B to 33B versions |
| Original family context | 16K window |
| Original family training mix | 2T tokens, with 87% code and 13% natural language in English and Chinese |
| Instruction tuning | Instruct variants were created with additional instruction data on top of base models. |
| V2 line sizes | 16B and 236B parameter variants |
| V2 active parameters | 2.4B active parameters for the 16B variant and 21B active parameters for the 236B variant |
| V2 context | 128K |
| Historical API relevance | deepseek-coder existed as a historical API alias before being merged with the older chat path into DeepSeek V2.5 for backward compatibility. |
| Current API status | This page is not a current hosted API recommendation. For current model IDs, pricing, and API behavior, use the official DeepSeek API docs and Chat-Deep.ai’s current API and pricing pages. |
Open-Weight Releases vs Hosted API
Do not blur two different contexts: open-weight model releases and the hosted DeepSeek API.
The open-weight DeepSeek Coder releases documented downloadable checkpoints, local or self-hosted usage, model cards, code-focused behavior, and licensing terms for specific checkpoints. The hosted API, by contrast, exposed a historical deepseek-coder alias that changed over time.
In 2024, the historical deepseek-coder API alias moved through DeepSeek-Coder-V2 updates and was later merged with the older chat path into DeepSeek V2.5 for backward compatibility. That old alias is useful for understanding archived examples, old migration notes, and older benchmark discussions. It should not be copied into new hosted API examples without checking the latest official model list.
Licensing and Availability
The DeepSeek Coder line was released as an open-weight model family rather than only as a closed hosted product. The original DeepSeek Coder repository states that the code repository is licensed under the MIT License and that model use is subject to the model license, with commercial use supported. DeepSeek-Coder-V2 materials also describe commercial-use support under the model license.
Always check the exact model card, repository license, and model license for the specific checkpoint you plan to download, fine-tune, host, or redistribute. Do not assume that every old tutorial, mirror, quantization, or third-party package has the same terms or the same technical behavior as the official checkpoint.
When This Page Is Useful
- Researching the historical DeepSeek coding-model timeline
- Understanding how the older
deepseek-coderAPI alias changed in 2024 - Comparing the original DeepSeek Coder family with DeepSeek-Coder-V2
- Reading older GitHub examples, benchmark posts, model cards, and migration notes
- Exploring older open-weight coding checkpoints for local or self-hosted experimentation
- Documenting how DeepSeek moved from a dedicated coding-model family into broader general-purpose model releases
FAQ
Is DeepSeek Coder the current hosted DeepSeek API model?
No. This page treats DeepSeek Coder as a historical coding-focused model family. For current hosted API model IDs, pricing, context limits, and migration notes, use the official DeepSeek API documentation and the current Chat-Deep.ai API, Models, and Pricing pages.
What was the deepseek-coder API alias?
deepseek-coder was a historical hosted API alias associated with the Coder line during 2024. It moved through DeepSeek-Coder-V2 updates and was later merged into a DeepSeek V2.5 backward-compatibility path. It should not be used as the main model name in new hosted API examples without checking the live official model list.
Can I still study or self-host older DeepSeek Coder checkpoints?
Yes, this page can help you understand the historical open-weight DeepSeek Coder and DeepSeek-Coder-V2 lines. Before downloading, fine-tuning, hosting, or redistributing any checkpoint, review the exact official model card, repository instructions, hardware requirements, and license terms for that checkpoint.
What should developers use for current hosted DeepSeek API work?
For current hosted API work, verify the current model list and pricing before implementation.
Final Takeaway
DeepSeek Coder remains historically important because it established DeepSeek’s early code-focused model line, introduced strong project-level code capabilities for its time, and paved the way for later coding and general-purpose DeepSeek releases.
Read this page as a DeepSeek Coder archive. It explains what DeepSeek Coder was, why it mattered, and how the old deepseek-coder API alias fits into DeepSeek’s model timeline. For live hosted API implementation, model names, pricing, and limits, use current official DeepSeek documentation and Chat-Deep.ai’s current API and pricing pages.