DeepSeek-V4.1-Flash-1017
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What is DeepSeek-V4.1-Flash-1017?
DeepSeek-V4.1-Flash-1017 is an open-weight artificial intelligence model developed by DeepSeek for multimodal understanding, advanced reasoning, autonomous agent workflows, and software engineering. Introduced on October 17, 2026, the release updates DeepSeek-V4.1-Flash with improvements in reasoning accuracy, coding capabilities, agent performance, and computational efficiency. The model builds on DeepSeek's mixture-of-experts architecture and supports native visual understanding alongside natural language processing. Its one-million-token context window enables applications to process extensive documents, large code repositories, and long sequences of interactions. Developers can configure reasoning effort and use the model for tasks involving mathematical reasoning, programming, information analysis, and complex problem-solving. Software engineering capabilities include code generation, debugging, repository analysis, automated testing, and implementation of features across existing projects. DeepSeek also trained the model using reinforcement learning with self-feedback to improve its ability to create complete projects, including web applications, interactive games, and 3D environments. Its agentic capabilities support multi-turn conversations, external tool calling, task planning, and integration with automated development environments. DeepSeek reports improvements over the previous version on benchmarks including Terminal-Bench, DeepSWE, ProgramBench, Automation-Bench, and Agents' Last Exam. The model includes reference prompt encoding tools and supports deployment through Hugging Face Transformers, vLLM, SGLang, and compatible inference infrastructure. DeepSeek-V4.1-Flash-1017 is available through the DeepSeek API under the deepseek-flash model identifier and through downloadable model weights licensed under the MIT License.
What is DeepSeek-Coder-V2?
DeepSeek-Coder-V2 represents an innovative open-source model specifically designed to excel in programming and mathematical reasoning challenges. With its advanced Mixture-of-Experts (MoE) architecture, it features an impressive total of 236 billion parameters, activating 21 billion per token, which greatly enhances its processing efficiency and overall effectiveness. The model has been trained on an extensive dataset containing 6 trillion tokens, significantly boosting its capabilities in both coding generation and solving mathematical problems. Supporting more than 300 programming languages, DeepSeek-Coder-V2 has emerged as a leader in performance across various benchmarks, consistently surpassing other models in the field. It is available in multiple variants, including DeepSeek-Coder-V2-Instruct, tailored for tasks based on instructions, and DeepSeek-Coder-V2-Base, which serves well for general text generation purposes. Moreover, lightweight options like DeepSeek-Coder-V2-Lite-Base and DeepSeek-Coder-V2-Lite-Instruct are specifically designed for environments that demand reduced computational resources. This range of offerings allows developers to choose the model that best fits their unique requirements, ultimately establishing DeepSeek-Coder-V2 as a highly adaptable tool in the ever-evolving programming ecosystem. As technology advances, its role in streamlining coding processes is likely to become even more significant.
Integrations Supported
Cheaper Inference
Cline
ClinePass
DeepSeek
DeepSeek Harness
API Availability
Has API
API Availability
Has API
Pricing Information
Free
Free Version
Pricing Information
Pricing not provided
Supported Platforms
SaaS
Windows
Mac
On-Prem
Linux
Supported Platforms
SaaS
Customer Service / Support
Web-Based Support
Customer Service / Support
Standard Support
Web-Based Support
Training Options
Documentation Hub
Training Options
Documentation Hub
Online Training
On-Site Training
Company Facts
Organization Name
DeepSeek
Date Founded
2023
Company Location
China
Company Website
deepseek.com
Company Facts
Organization Name
DeepSeek
Date Founded
2023
Company Location
China
Company Website
www.deepseek.com
Categories and Features
AI Coding Models
Not specified
AI Models
Not specified
AI Reasoning Models
Not specified
Large Language Models
Not specified
Multimodal Models
Not specified
Open-Weight AI Models
Not specified