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
| Capability | Description |
|---|---|
| Reasoning | Matches leading closed-source models on math and STEM; 95.2% on HMMT 2026 |
| Coding | 80.6% SWE-bench Verified, 93.5% LiveCodeBench, 3206 Codeforces rating |
| Multimodal | Text-only; multimodal capabilities are in development |
| Response Speed | Optimized for long-context efficiency via CSA/HCA hybrid attention |
| Context Window | 1,000,000 tokens |
| Max Output | 384,000 tokens |
| Tool Use | Function calling with up to 128 parallel calls; 73.6 on MCPAtlas Public |
| Multilingual | Broad 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.
Standard Pricing
The token prices below are shown in USD per 1 million tokens; web search is billed in USD per use.
| Billing Period | Input (USD / 1M Tokens) | Cache Write (USD / 1M Tokens) | Cache Read (USD / 1M Tokens) | Output (USD / 1M Tokens) | Web Search (USD / use) | Billing Notes |
|---|---|---|---|---|---|---|
| Off-Peak | $0.66 | $0.66 | $0.022 | $1.98 | - | Cache Write: 1x input; Cache Read: 0.0333x input |
| Peak | $1.32 | $1.32 | $0.044 | $3.96 | - | Cache Write: 1x input; Cache Read: 0.0333x input |
Credits settlement: B.AI converts charges at 1 USD = 1,000,000 Credits and deducts Credits from the account balance.
DeepSeek V4 Pro uses time-based standard reference pricing. Off-Peak prices are half of Peak prices. In Beijing Time (UTC+8), 09:00-12:00 and 14:00-18:00, Monday through Friday (excluding Chinese public holidays), are Peak periods; all other times, including weekends and Chinese public holidays, are Off-Peak periods. DeepSeek V4 Pro usage in B.AI Chat is billed at Off-Peak rates. Final settlement prices and billing records are subject to the platform display. B.AI may provide lower actual usage costs through top-up bonuses and account benefits.