DeepSeek V4 AI — Trillion-Parameter Open-Source Intelligence
DeepSeek V4 AI is the next-generation open-source large language model from DeepSeek — a ~1T-parameter Mixture-of-Experts system with a 1M-token context window, Engram conditional memory, and frontier-grade reasoning, coding, and multimodal ability, delivered at a fraction of closed-model pricing.
Open weights · OpenAI-compatible API · Input from $0.30 / M tokens (cached $0.03)
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What is DeepSeek V4 AI
DeepSeek V4 AI is the latest flagship model in the DeepSeek family, succeeding DeepSeek V3 and V3.2. It is an open-source Mixture-of-Experts (MoE) large language model built for frontier reasoning, elite coding, advanced mathematics, native multimodal generation, and million-token long-context understanding — all released under an open licence with an OpenAI-compatible API at industry-leading prices.
Frontier Reasoning
DeepSeek V4 AI builds directly on the research lineage of DeepSeek V3.2 and the DeepSeek R-series reasoning models. It delivers stronger multi-step reasoning, chain-of-thought planning, and agentic tool use, making it suitable for real-world workflows where depth of analysis matters more than surface-level answers.
Elite Coding & Math
Targeting around 81% on SWE-bench and top-tier scores on competitive math and STEM benchmarks, DeepSeek V4 is engineered to act as a senior pair-programmer — reading multi-repo codebases, authoring pull requests, fixing bugs end-to-end, and reasoning about algorithms, systems, and numerical problems.
1M-Token Long Context
A full 1,000,000-token context window — roughly 8× that of DeepSeek V3.2 (128K) — lets DeepSeek V4 AI ingest entire books, enterprise knowledge bases, or large monorepos in a single call. Leaked evaluations show Needle-in-a-Haystack accuracy jumping from 84.2% to 97% compared with smaller baselines.
Open Weights, Low Price
DeepSeek V4 AI continues DeepSeek's commitment to open model weights and public research papers. An OpenAI-compatible HTTP API is offered from $0.30 per million input tokens and $0.50 per million output tokens, with cached inputs at just $0.03 per million — up to a 90% discount for shared system prompts and templates.
Why Teams Choose DeepSeek V4 AI
DeepSeek V4 AI is designed for teams that refuse to compromise between capability, openness, and cost. It combines the performance profile of a frontier closed model with the freedom and economics of open source.
DeepSeek V4 AI at a Glance
Headline specifications that place DeepSeek V4 in the frontier tier of open-source large language models.
~1T Total MoE parameters (~32B active per token)
Total MoE parameters (~32B active per token)
1M Token context window for long documents and codebases
Token context window for long documents and codebases
~81% Targeted score on SWE-bench coding benchmark
Targeted score on SWE-bench coding benchmark
$0.30 Per million input tokens (cached: $0.03, output: $0.50)
Per million input tokens (cached: $0.03, output: $0.50)
Core Features of DeepSeek V4 AI
A frontier open-source model engineered for real production workloads — from daily AI assistants to enterprise-scale agents.
Trillion-Parameter MoE
A sparse Mixture-of-Experts architecture with roughly 1T total parameters and ~32B active per token, routed through 8 of 256 specialists for efficient frontier-level capability.
Engram Conditional Memory
A dedicated O(1) hash-based memory layer stored in DRAM instead of GPU VRAM, enabling fast, reliable factual recall that scales beyond what attention alone can offer.
DeepSeek Sparse Attention
DSA (DeepSeek Sparse Attention) cuts training and inference cost for long sequences while preserving quality, so million-token context stays practical and affordable.
Manifold-Constrained Hyper-Connections
mHC is a new connectivity scheme between layers and experts, designed to stabilise training and improve the model's generalisation across diverse tasks.
1M-Token Context Window
Read entire books, long legal filings, and multi-repository codebases in a single prompt with leaked Needle-in-a-Haystack accuracy reported near 97%.
Elite Coding Ability
Top scores on coding benchmarks spanning Python, JavaScript, TypeScript, Go, Rust, C++, Java, and more — with strong performance on SWE-bench agentic tasks.
Native Multimodal
DeepSeek V4 AI is designed with native multimodal inputs and outputs in mind, spanning text, image, and video generation workflows alongside language understanding.
OpenAI-Compatible API
Keep your existing stack. The DeepSeek API is compatible with the OpenAI SDKs — switch the base URL and API key to migrate apps, agents, and SDKs in minutes.
Multilingual, Built for Asia & the World
Exceptional Chinese and English performance with strong support for many additional languages, plus efficient inference on Huawei and other modern AI accelerators.
How to Use DeepSeek V4 AI
Get up and running with DeepSeek V4 AI in four simple steps — no rewrites, no lock-in.
1. Create a DeepSeek account
Sign up on the official DeepSeek platform and generate an API key from your developer console. Free credits are typically available so you can evaluate DeepSeek V4 AI before committing.
2. Point your SDK to DeepSeek
DeepSeek V4 AI ships with an OpenAI-compatible REST API. Keep using the official OpenAI SDKs — just update the base URL to the DeepSeek endpoint and set your DEEPSEEK_API_KEY environment variable.
3. Choose the right model
Select deepseek-chat for fast general tasks or deepseek-reasoner for deeper multi-step reasoning. Enable the 1M-token context window for long documents, large codebases, and multi-document RAG pipelines.
4. Ship to production
Use prefix caching to cut input cost by up to 90% on repeated system prompts. Pair DeepSeek V4 AI with your favourite agent framework, observability stack, and data layer — all the OpenAI-ecosystem tooling you already know keeps working.
DeepSeek V4 AI — Frequently Asked Questions
Everything developers, researchers, and decision-makers ask about DeepSeek V4 AI.
Start Building with DeepSeek V4 AI
Open weights. Frontier performance. Million-token context. Price that makes AI economics work. Everything you need to ship serious AI products — from prototype to production.