DeepSeek Launched a Preview of Its V4 Models: DeepSeek V4 Pro & DeepSeek V4 Flash
2026-04-24
With the preview launch of its long-awaited V4 model, China’s DeepSeek tightens market competition and challenges dominant AI platforms like ChatGPT, Gemini, and Claude.
DeepSeek is an AI assistant app that offers free access to its latest reasoning model.
In the DeepSeek V4 preview report, developers confirmed that its V4 Pro version outperforms top-tier open models in math, STEM, and coding. The V4 Pro version's strong benchmark results, notably on SimpleQA Verified, with solid factual accuracy and minimal hallucinations in concise responses. And the biggest breakthrough is that all official DeepSeek services now support 1M token context, with far lower compute and memory load to run smoothly and affordably.
DeepSeek‑V4 Release Date
The release timeline of DeepSeek V4 models has seen several setbacks and has not officially confirmed yet. Planned for a mid-February 2026 launch around Lunar New Year, it was delayed to overcome extensive engineering obstacles in the new hardware architecture training.
New API Model #1: DeepSeek‑V4‑Pro
DeepSeek‑V4‑Pro is DeepSeek's flagship MoE (Mixture‑of‑Experts) model, with 1.6 trillion total parameters and roughly 49 billion activated per forward pass. It is designed to rival the top closed‑source models on reasoning, math, STEM, and agentic coding while remaining fully open and redistributable.
Key highlights:
- World‑leading open‑source performance on agentic and coding benchmarks, including SWE‑bench and terminal‑style agent tasks.
- Rich world‑knowledge capabilities, outperforming other open models and trailing only Google's Gemini‑3.1‑Pro in many global knowledge benchmarks.
- Supports 1‑million‑token context by default, with dual “Thinking” and “Non‑Thinking” modes via the API for flexible cost‑quality trade‑offs.
New API Model #2: DeepSeek‑V4‑Flash
DeepSeek‑V4‑Flash is a more compact, efficient sibling built on the same MoE architecture, with 284 billion total parameters and about 13 billion activated per token. It targets low‑latency, high‑throughput use cases and is positioned as a fast, economical alternative for common RAG, coding, and agent workflows.
Key highlights:
- Reasoning performance very close to V4‑Pro, especially when using higher "thinking budgets" in the API.
- On simple agent tasks, it can match or nearly match V4‑Pro while offering faster response times and lower compute cost.
- Like V4‑Pro, it supports 1‑million‑token context and both Thinking and Non‑Thinking modes, making it suitable for long‑document analysis on a budget.
DeepSeek V3.2 vs. DeepSeek‑V4‑Pro vs. DeepSeek‑V4‑Flash
| Model | Role / Position | Parameter scale (approx.) | Context window | Strengths |
|---|---|---|---|---|
| DeepSeek‑V3.2 | Previous flagship | 300B–400B dense | 128K–256K | Strong coding and reasoning, but smaller context and lower efficiency than V4. yingtu+1 |
| DeepSeek‑V4‑Pro | New flagship MoE | 1.6T total / 49B active | 1M tokens | State‑of‑the‑art open‑source in agentic workflows, math, coding, and knowledge; closest open rival to top closed‑source models. dw+1 |
| DeepSeek‑V4‑Flash | Efficient MoE | 284B total / 13B active | 1M tokens | Near‑Pro reasoning, faster and cheaper; ideal for production APIs and lightweight agents. dw+1 |
V4‑Pro clearly outpaces V3.2 on long‑context reading, agentic coding, and reasoning benchmarks, while V4‑Flash offers a sweet spot for cost‑sensitive deployments that still need near‑flagship quality.
DeepSeek‑V4 vs. GPT‑5.4 vs. Claude 4.5
Across recent 2026 analyses, DeepSeek‑V4 is now treated as one of the top three families in the AI landscape, alongside GPT‑5.4 and Claude 4.5 (Opus). Here’s how they compare along key dimensions:
| Aspect | DeepSeek‑V4 (Pro) | GPT‑5.4 | Claude 4.5 (Opus) |
|---|---|---|---|
| Context length | 1M tokens standard across V4‑Pro & V4‑Flash huggingface | 1M tokens context window getaiperks | Up to 1M tokens (Sonnet 4.5 supports 200K) yingtu+1 |
| Open‑source status | Fully open‑weights, Hugging Face–hosted huggingface+1 | Closed‑source API only getaiperks | Closed‑source API only getaiperks |
| Coding (SWE‑bench) | ~80.6% resolved (V4‑Pro Max) huggingface | ~75% resolved (GPT‑5.2; 5.4 likely similar) yingtu | ~80.9% resolved (Opus 4.5) yingtu+1 |
| Reasoning (math/benchmarks) | Strong, rivals top closed models on many tasks dw+1 | Top‑tier; excels on math and abstract reasoning (e.g., AIME) yingtu+1 | Very strong, especially on long‑chain reasoning and safety‑aligned tasks yingtu+1 |
| Agent / tooling | Built‑in optimizations for agent workflows, integrated with leading AI‑agent stacks huggingface | Native desktop‑app and browser control in 5.4 getaiperks | Claude Code integration for autonomous coding and testing getaiperks |
| Cost / efficiency | Lower inference cost than most closed‑source rivals; V4‑Flash highly economical dw+1 | Premium pricing, but very capable getaiperks | Premium pricing, optimized inference with some efficiency gains getaiperks |
DeepSeek‑V4‑Pro carves out a unique niche as the strongest open‑source contender that touches or rivals the performance of GPT‑5.4 and Claude 4.5 on many benchmarks, while V4‑Flash gives builders a lightweight, 1M‑context option that’s far cheaper than proprietary APIs.
DeepSeek is an AI assistant app that offers free access to its latest reasoning model.
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