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DeepSeek V4 Pro

Overview​

DeepSeek-V4-Pro is DeepSeek's flagship open-source large language model, released on April 24, 2026 under the MIT License. Built on a Mixture-of-Experts (MoE) architecture with 1.6 trillion total parameters and 49 billion active parameters, it supports a 1-million-token context window and delivers frontier-level performance in coding, mathematics, and reasoning at a fraction of the cost of comparable closed-source models.

Key Features​

  • Massive Scale, Efficient Inference: 1.6T total parameters with only 49B activated per forward pass via MoE, achieving frontier performance while keeping inference costs low, roughly 1/20th the price of Claude Opus 4.7.
  • 1M-Token Context Window: Supports up to 1 million input tokens and 384K maximum output tokens, enabled by a hybrid attention mechanism combining Compressed Sparse Attention (CSA) and Heavily Compressed Attention (HCA) that reduces single-token inference FLOPs to 27% and KV cache to 10% compared to DeepSeek-V3.2.
  • Top-Tier Coding Performance: Achieves 80.6% on SWE-bench Verified (within 0.2 points of Claude Opus 4.6), 67.9% on Terminal-Bench 2.0, 93.5% on LiveCodeBench, and a 3206 Codeforces rating.
  • Advanced Tool Use: Scores 73.6 on MCPAtlas Public, supports up to 128 parallel function calls, and ships with pre-tuned adapters for Claude Code, OpenCode, OpenClaw, and CodeBuddy.

Best Use Cases​

  • Software Engineering Agents: With 80.6% on SWE-bench Verified and strong tool-use capabilities, V4-Pro is well-suited for autonomous coding agents that need to navigate large codebases.
  • Long-Document Analysis: The 1M-token context window enables processing of entire codebases, legal corpora, or research paper collections in a single pass.
  • Cost-Sensitive Frontier Workloads: For teams that need near-frontier reasoning and coding at open-source economics, V4-Pro offers the best performance-per-dollar ratio in its class.

Capabilities and Limitations​

CapabilityDescription
ReasoningMatches leading closed-source models on math and STEM; 95.2% on HMMT 2026
Coding80.6% SWE-bench Verified, 93.5% LiveCodeBench, 3206 Codeforces rating
MultimodalText-only; multimodal capabilities are in development
Response SpeedOptimized for long-context efficiency via CSA/HCA hybrid attention
Context Window1,000,000 tokens
Max Output384,000 tokens
Tool UseFunction calling with up to 128 parallel calls; 73.6 on MCPAtlas Public
MultilingualBroad multilingual support; strongest in English and Chinese

Known Limitations​

  • Text-only, with no image, audio, or video understanding or generation.
  • Trails GPT-5.4 and Gemini 3.1 Pro on world knowledge benchmarks by a margin DeepSeek estimates at 3-6 months of development.
  • May underperform on tasks requiring creative writing or highly nuanced reasoning compared to top closed-source models.

Credits Usage​

Billing PeriodInput (Credits/Token)Cache Write (Credits/Token)Cache Read (Credits/Token)Output (Credits/Token)Web Search (Credits/Use)Billing Notes
Idle0.660.660.0221.98-Cache Write: 1x input; Cache Read: 0.0333x input
Busy1.321.320.0443.96-Cache Write: 1x input; Cache Read: 0.0333x input
Pricing note

DeepSeek V4 Pro uses time-based standard reference pricing. The applicable Idle or Busy period, final settlement price, and billing records are subject to the platform display. B.AI may provide lower actual usage costs through top-up bonuses and account benefits.