DeepSeek V4 Has Launched: Open-Sourced on April 24, 2026 — Specs and Highlights Recap
The wait is over. DeepSeek V4 officially launched on April 24, 2026, fully open-sourced under the MIT license, with model weights published on Hugging Face. All the earlier speculation about V4's timing — TechNode reports, HuggingFace upload activity, and competitive pressure from GPT-5.4 and Claude 4.6 — has now been settled. This article recaps the core facts, specifications, and benchmark results of the release.
Release at a Glance
- Release date: April 24, 2026 — DeepSeek-V4 preview officially launched.
- License: MIT, with weights published on Hugging Face.
- Two editions: DeepSeek-V4-Pro and DeepSeek-V4-Flash.
- Core focus: Agentic coding + 1M-token context + extreme efficiency.
- Legacy retirement: deepseek-chat and deepseek-reasoner will be retired on July 24, 2026.
Two Editions, Detailed Specs
DeepSeek shipped two editions at once, covering everything from high-end reasoning to low-cost, high-throughput workloads:
| Spec | DeepSeek-V4-Pro | DeepSeek-V4-Flash |
|---|---|---|
| Total parameters | 1.6 trillion (1.6T) | 284 billion (284B) |
| Active parameters | 49B | 13B |
| Context window | 1M tokens | 1M tokens |
| Max output | ~384K tokens | ~384K tokens |
| Focus | High-end reasoning & agentic coding | Faster, lower-cost workloads |
Architecture Highlight: Hybrid Attention (CSA + HCA)
V4's real efficiency breakthrough lies in its MoE (Mixture of Experts) + hybrid attention architecture, which combines:
- CSA (Compressed Sparse Attention)
- HCA (Heavily Compressed Attention)
This design means that at a 1M-token context, per-token compute is roughly 27% of V3.2's, and KV Cache memory is about 10% of V3.2's. In other words, V4 turns ultra-long context from an "expensive luxury" into an affordable default — and that is precisely why V4 can offer million-token context at such low prices.
Benchmarks (V4-Pro, Measured)
V4-Pro delivers top-tier results among open-source models across major benchmarks:
| Benchmark | Score |
|---|---|
| SWE-bench Verified | 80.6% (highest among open models, tied with Gemini 3.1 Pro) |
| LiveCodeBench Pass@1 | 93.5 |
| Codeforces rating | 3206 |
| MMLU-Pro | 87.5% |
| GPQA Diamond | 90.1% |
| GSM8K | 92.6% |
| Terminal-Bench 2.0 | 67.9% |
The SWE-bench Verified score of 80.6% is the highest among current open-source models, putting V4 firmly in the top tier for agentic coding.
API Pricing
After a 75% price cut at launch, V4's long-term pricing is highly competitive:
| Edition | Input (per 1M tokens) | Output (per 1M tokens) |
|---|---|---|
| V4-Pro | $0.435 | $0.87 |
| V4-Flash | $0.14 | $0.28 |
Compared to closed-source frontier models, V4 is roughly 5–30x cheaper while being fully open source — a combination no closed-source competitor can match.
How to Use DeepSeek V4
V4 is live now. Here's how to access it:
Option 1: Web at chat.deepseek.com
Head to chat.deepseek.com to try it directly, with two modes:
- Expert Mode: For complex reasoning and agentic coding tasks.
- Instant Mode: For faster, lower-cost everyday queries.
Option 2: Official API
Sign up at platform.deepseek.com, create an API key, and call the model deepseek-v4-pro.
Note: the legacy models
deepseek-chatanddeepseek-reasonerwill be retired on July 24, 2026, so plan your migration to V4 soon.
from openai import OpenAI client = OpenAI( api_key="YOUR_API_KEY", base_url="https://api.deepseek.com", ) response = client.chat.completions.create( model="deepseek-v4-pro", messages=[{"role": "user", "content": "Implement quicksort in Python"}], ) print(response.choices[0].message.content)
Option 3: Atlas Cloud and Local Deployment
- Atlas Cloud: A DeepSeek-recommended partner offering hosted access at launch — atlascloud.ai.
- Local deployment: V4 is open-sourced under MIT, with weights on Hugging Face. You can self-host via inference frameworks such as vLLM and TGI.
A Look Back at Market Expectations
Before V4's official launch, the industry pieced together its timing from several independent signals: TechNode's reporting on internal progress, dense upload activity on HuggingFace, and the competitive pressure created by the back-to-back launches of GPT-5.4, Claude 4.6, and Gemini 3.1 Pro — all pointing to an imminent next-generation model from DeepSeek. Those expectations have now been met: V4 is officially released, answering the market with efficiency and open-source commitment that exceeded what many predicted.
Conclusion
DeepSeek V4's launch brings together five defining traits: agentic coding ability (SWE-bench 80.6%), a 1M-token context window, CSA+HCA extreme efficiency, full open source (MIT), and very low pricing. For developers, now is the best time to get hands-on: try it at chat.deepseek.com, or plug the API into your workflow.
Sources
The following is a summary of DeepSeek's official release (2026-04-24):
- DeepSeek official launch announcement (April 24, 2026)
- Hugging Face DeepSeek organization (model weights)
- chat.deepseek.com and platform.deepseek.com
Some third-party benchmark figures may change as evaluations are updated.
Last updated: April 24, 2026