DeepSeek-V4
Claim this toolThe next-generation flagship AI model for repo-level coding and long-context reasoning.
Paid plans onlyVisit WebsitePaidVisit Website
Tracked since2026
The Bottom Line
- Price
- Paid plans only. Compare plans
Key facts
- Flagship AI model designed for advanced coding and agentic workflows.
- Expected to feature 1M+ token context for repo-level analysis and long-horizon reasoning.
- Aims to disrupt the market with competitive API pricing and open-weight availability.
Pros
- Potential for significant cost reduction in AI development due to competitive pricing and open weights.
- Enables advanced repo-scale agent workflows, including refactoring and multi-file debugging.
- Supports local and self-hosted adoption, offering greater control over data and customization.
- High performance expected in coding, math, and long-prompt scenarios.
Cons
- The product is not yet released, and all specifications are based on rumors and leaks.
- Leaked benchmarks are unverified and may not reflect official performance.
- Release timing is uncertain, with possibilities of delays.
What is DeepSeek-V4?
DeepSeek V4 is anticipated to be a flagship AI model from DeepSeek AI, specifically engineered for advanced coding tasks, extensive long-context reasoning, and sophisticated agentic workflows. It is expected to feature a massive parameter count, potentially around 1 trillion, utilizing a Mixture-of-Experts (MoE) architecture to optimize for coding-first workloads while maintaining practical inference capabilities.
This model aims to revolutionize software development by enabling repo-level analysis and debugging with its rumored 1M+ token context window. It targets high performance in SWE-Bench style software tasks, HumanEval coding quality, and AIME-level math, along with robust handling of long prompts. The product is positioned to offer significant cost disruption with competitive API pricing and open-weight availability, facilitating private deployment, custom fine-tuning, and enhanced data control for development teams.
Available on: Web
Key Features
- Repo-level coding capabilities
- Long-context reasoning (1M+ tokens rumored)
- Agentic workflow support
- Mixture-of-Experts (MoE) architecture (rumored ~1 Trillion Parameters)
- Engram Memory Core technology for O(1) memory lookup
- mHC Hyper-Connections for improved reasoning stability
- Sparse Attention + MODEL1 efficiency for lower memory and faster inference
- Targeted strength in SWE-Bench, HumanEval, and AIME-level math
Pricing Plans
Pricing checked Sep 25, 2026
| Plan | Price | Details |
|---|---|---|
| API Price Expectation | $0.01-$0.14 / 1M tokens |
|
Is DeepSeek-V4 worth the price?
Good value
The $0.01-$0.14 per 1M tokens range is competitive: the low end is cheaper than most proprietary APIs, while the high end aligns with standard pricing for advanced reasoning features.
This makes DeepSeek-V4 a strong value for teams needing repo-level coding and long-context capability, especially at volume. It's best for AI-native development teams and agentic workflow builders.
Reviews
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DeepSeek-V4 FAQ
How does DeepSeek-V4 support repo-level coding tasks?
DeepSeek-V4 is engineered for advanced coding tasks, including repo-level analysis and debugging, by leveraging a rumored 1M+ token context window. This allows it to handle extensive codebases and multi-file debugging scenarios effectively. It aims for high performance in SWE-Bench style software tasks and HumanEval coding quality.
What kind of user or team is DeepSeek-V4 best suited for?
DeepSeek-V4 is best suited for development teams and individual developers focused on advanced coding tasks, long-context reasoning, and sophisticated agentic workflows. Its open-weight availability and support for private deployment cater to those needing greater data control and customization for AI development.
How is DeepSeek-V4 priced?
DeepSeek-V4 will be a paid product without a permanently free tier. It is positioned to offer significant cost disruption through competitive API pricing and open-weight availability, facilitating private deployment and custom fine-tuning.
Can DeepSeek-V4 be deployed privately or self-hosted?
Yes, DeepSeek-V4 supports local and self-hosted adoption due to its open-weight availability. This feature provides development teams with greater control over their data and allows for enhanced customization and private deployment.
What are the main limitations to consider with DeepSeek-V4?
The main limitation is that DeepSeek-V4 is not yet released, so all specifications are based on rumors and leaks, and benchmarks are unverified. Its release timing is also uncertain, with potential for delays.
How does DeepSeek-V4 compare to Amazon CodeWhisperer for coding assistance?
DeepSeek-V4 is designed for advanced repo-level coding and long-context reasoning with a rumored 1M+ token context window, aiming for high performance in complex software tasks. Amazon CodeWhisperer primarily focuses on code generation and completion within IDEs, while DeepSeek-V4 targets more sophisticated agentic workflows and multi-file debugging.
Does DeepSeek-V4 offer capabilities beyond just coding?
Yes, DeepSeek-V4 is engineered for extensive long-context reasoning and sophisticated agentic workflows in addition to advanced coding tasks. It also targets robust handling of long prompts and high performance in AIME-level math.
Source: deepseek-v4.ai