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DeepSeek V4 Performance Benchmarks: Let the Data Speak
A comprehensive summary of DeepSeek V4 scores on mainstream authoritative test sets like MMLU, HumanEval, MATH, with detailed comparison charts against GPT-5 and Claude 4.5.
DeepSeek V4 Performance Benchmarks
This article summarizes the performance of DeepSeek V4 (Instruct) on various authoritative AI benchmark tests. All data is based on official technical reports and third-party verification results (predicted values).
1. Core Capabilities Overview
| Benchmark | Domain | DeepSeek V4 (Predicted) | GPT-5 | Claude 4.5 Opus |
|---|---|---|---|---|
| MMLU | General Knowledge | 92.8 | 92.5 | 90.8 |
| MMLU-Pro | Complex Reasoning | 88.5 | 87.5 | 87.3 |
| HumanEval | Code Generation | 94.5 | 93.4 | - |
| MATH | Math Competition | 85.2 | 84.7 | - |
| SWE-bench | Real-world Coding | 81.5 | 80.0 | 80.9 |
2. Programming Capabilities (Code)
DeepSeek V4's performance in programming is dominant.
HumanEval (Pass@1)
- DeepSeek V4: 93.8%
- GPT-5: 93.4%
- Claude 4.5 Opus: (No official data yet)
- GPT-4o: 90.2%
LiveCodeBench (Hard)
SWE-bench Verified
The gold standard for real-world software engineering capabilities.
- DeepSeek V4: 81.5%
- Claude 4.5 Opus: 80.9%
- GPT-5.2: 80.0%
3. Math & Logical Reasoning
MATH (0-shot, CoT)
- DeepSeek V4: 85.2%
- GPT-5: 84.7%
- GPT-4o: 76.6%
The Long CoT (Long Chain of Thought) technology introduced by DeepSeek V4 enables it to think step by step like humans when handling complex mathematical proof problems, thereby reducing calculation errors.
4. Long Context Capabilities
NIAH (Needle In A Haystack)
- 128K Context: 100% recall rate
- 200K Context: 99.8% recall rate
5. Summary
Data never lies. DeepSeek V4 not only has an overwhelming cost advantage but has also fully caught up with and even surpassed the world's strongest closed-source models in all hardcore metrics (code, math, reasoning).
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