DeepSeek V4

DeepSeek just dropped V4 (preview) — two open-weights MoE models that push the frontier on cost-effective 1M-token context.

DeepSeek-V4-Pro: 1.6T total params (49B active) — flagship performance rivaling top closed models in reasoning, math, and agentic coding. DeepSeek-V4-Flash: 284B total (13B active) — faster, cheaper, and highly efficient for everyday/agent tasks.

Both feature a new hybrid attention architecture (Compressed Sparse Attention + Heavily Compressed Attention) that makes million-token contexts dramatically more practical (much lower FLOPs and KV cache than V3). MIT license, available on Hugging Face (base + instruct), and live on the DeepSeek API today.

The community is already praising the efficiency gains, strong coding/agent results (e.g., high LiveCodeBench / SWE-Bench scores), and rock-bottom pricing — especially with the ongoing Pro discount.

#Quick Highlights (as of early May 2026)

• Release date: April 24, 2026 (preview)
• Context: Native 1M tokens (with practical efficiency improvements for real agent/document workflows)
• Reasoning modes: Non-think (fast), Think High, Think Max (deeper, higher quality on hard tasks) — all from the same weights
• API pricing (highly competitive): Flash is extremely cheap; Pro has a big temporary discount (extended to ~May 31 in some updates) + major input cache price drop (1/10th)
• Strengths: Coding/agentic tasks, long-context efficiency, price/performance. Text-only for now (multimodal planned later).
• Availability: Chat at chat.deepseek.com (Expert/Instant modes), API (OpenAI/Anthropic compatible), open weights on HF/ModelScope.

Sources: Official announcement, Hugging Face collection, Tech Report, tweet discount extended