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DeepSeek Coder 33B Instruct

DeepSeek's 33B-parameter code model that matches GPT-3.5 Turbo on code benchmarks, built for complex code generation and instruction-following across multiple languages.

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The largest model in the DeepSeek Coder series was the first open-source model to beat GPT-3.5 Turbo on competitive programming benchmarks, scoring 27.8% pass@1 on LeetCode Contest problems. It outperforms CodeLlama-34B by 7.9% on HumanEval Python despite sharing a similar parameter count, trained on 2 trillion tokens with an additional 200B-token context extension phase.

Licensedeepseek
Context window(in thousands)16384

Use cases for DeepSeek Coder 33B Instruct

  1. Market trend prediction: Analyzes large datasets to identify potential market trends and user behavior patterns.
  2. E-learning personalization: The DeepSeek Coder 33B Instruct can analyze student data to tailor personalized learning experiences.
  3. Climate change analysis: Processes extensive datasets from climate research to identify and predict trends.

Quality

Arena EloN/A
MMLUN/A
MT BenchN/A

DeepSeek Coder 33B Instruct is not currently ranked on the Chatbot Arena Leaderboard.

Claude-Opus-4-6

1501

GLM-5

1456

gpt-5.1

1455

Kimi-K2.5

1454

gpt-5.2

1440

What's Twitter saying?

  • Innovative Code LLM Offering Both Instructions and Fill-in-the-Middle: Codestral is gaining attention for being the first code LLM to handle both instructions and fill-in-the-middle tasks. It outperforms DeepSeek Coder 33B, which is a current state-of-the-art open-source code LLM and 50% larger. (Source: @maximelabonne)
  • 2024 Trends in Multimodal and Synthetic Data: GPT4-V excels at image-to-code tasks, but most open-source VLMs struggle. To improve this, a new dataset called WebSight was created using Mistral-7B-v0.1 and DeepSeek Coder 33B Instruct. (Source: @LeoTronchon)
  • Overview of Open Access LLMs Trained in China: This overview covers 8 open access LLMs trained in China, including Qwen, Yi, and DeepSeek. It highlights each model's parameters, context length, and unique features. (Source: @osanseviero)

Explore Our LLM Library

Discover the power and diversity of large language models available with Telnyx. Explore the options below to find the perfect model for your project.

Organizationdeepseek-ai
Model NameDeepSeek-R1-Distill-Qwen-14B
Taskstext generation
Languages SupportedEnglish
Context Length43,000
Parameters14.8B
Model Tiermedium
Licensedeepseek

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faqs

What is DeepSeek Coder 33B Instruct?

DeepSeek Coder 33B Instruct is a 33-billion-parameter code model fine-tuned from DeepSeek Coder 33B Base on 2 billion tokens of instruction data. It is part of the DeepSeek Coder series trained on 87% code and 13% natural language, supporting project-level code completion with a 16K token context window.

Which DeepSeek model is best for coding?

Among the original DeepSeek Coder family, the 33B instruct model offers the strongest coding performance, matching GPT-3.5 Turbo on HumanEval benchmarks. For more resource-constrained environments, the 6.7B variant provides a good balance of quality and efficiency.

Can I use DeepSeek for coding?

Yes, DeepSeek Coder models are purpose-built for coding. The 33B instruct variant handles code generation, completion, debugging, and explanation across multiple programming languages including Python, Java, C++, JavaScript, and more. It can be deployed locally or accessed through hosted inference APIs.

Is DeepSeek Coder free?

DeepSeek Coder is open-source and free to use under a permissive license that supports both research and commercial applications. Model weights are publicly available for download, and the model can be run locally using common inference frameworks.

What is DeepSeek Coder used for?

DeepSeek Coder 33B is used for code generation from natural language, code completion, refactoring, and automated debugging. Its larger parameter count compared to the 6.7B variant gives it stronger performance on complex programming tasks and longer code contexts.

Which is better for coding, ChatGPT or DeepSeek?

GPT-4 outperforms DeepSeek Coder 33B on most coding benchmarks, but DeepSeek Coder 33B matches or exceeds GPT-3.5 Turbo on code-specific tasks like HumanEval. The key difference is that DeepSeek is open-source and self-hostable while ChatGPT requires an API subscription. This comparison often comes down to budget, privacy requirements, and deployment preferences.