DeepSeek

Entity page for DeepSeek — Chinese AI lab whose V4 series is a leading open-weight frontier challenger.

Overview

DeepSeek focuses on efficient frontier capability — large MoE models with hybrid attention, 1M-token context, and aggressive cost positioning vs closed-source APIs.

Current models (Apr 2026)

Model	Total params	Active	Role
DeepSeek-V4-Pro	1.6T	49B	Frontier open MoE — coding, reasoning, long context
DeepSeek-V4-Flash	284B	13B	Smaller footprint, comparable Max reasoning

Architecture highlights

• Hybrid attention — Compressed Sparse Attention (CSA) + Heavily Compressed Attention (HCA)
• 27% FLOPs of V3.2 at 1M tokens; ~90% KV cache reduction
• Three reasoning modes — Non-Think, Think High, Think Max
• MoE — 1.6T total, 49B activated per token

→ Mixture Of Experts

Signature benchmarks

Benchmark	V4-Pro score	Position
LiveCodeBench	93.5%	Code generation leader
Codeforces	3206 rating	Competitive programming
MRCR 1M	83.5%	Long-context reasoning
Terminal-Bench	competitive	Agentic workflows

Strategic position (2026)

DeepSeek-V4-Pro is the cost king in frontier showdowns — 12–29× cheaper than Claude Opus for comparable workloads, while leading on code generation benchmarks.

In the April 2026 five-model convergence, V4-Pro owned:

• Code generation (LiveCodeBench)
• Long-context (1M MRCR)
• Cost efficiency

→ Frontier Convergence Five Models Mimo Qwen V4 Gpt55 Opus47 2026 04 28

Trails Opus 4.8 on SWE-bench Pro and honesty metrics; leads on raw coding competition scores.

Key articles

Topic	Article
V4-Pro full analysis	Deepseek V4 Pro Frontier Analysis 2026 04 24
April showdown	Frontier Showdown April 2026 V4 Gpt55 Opus47 2026 04 24
May showdown	Frontier Showdown May 2026 V4 Gpt55 Opus48 2026 05 29
Open agents comparison	Open Source Agents Showdown Qwen36 27b V4pro Gemma4 2026 05 19
Dense vs MoE	Dense Transformers Vs Sparse Moe Architecture 2026 04 20
Asian frontier	Asian Llms K25 M27 Glm51 Comparison 2026 04 15

Related

• Concepts: Frontier Models, Mixture Of Experts
• Compared to: Qwen3.6/V4-Pro, GLM-5.2, GPT-5.5, Opus 4.8
• Economics: Referenced in Agentic Coding Economics Roi Adoption 2026 05 18 as open-source alternative for cost-sensitive teams