DeepSeek V4
DeepSeek Benchmarks | SWE-bench, HumanEval vs GPT-5.4, Claude 4.6, Gemini 3.1
DeepSeek V3/V4 benchmark results: SWE-bench, HumanEval, MMLU vs GPT-5.4, Claude 4.6, Gemini 3.1 Pro | 2026 AI comparison
DeepSeek excels across multiple benchmark tests, with V4 targeting performance that competes with Claude 4.6 (SWE-bench 80.8%) and Gemini 3.1 Pro (80.6%) while surpassing GPT-5.4 (77.2%) — at 10-80x lower cost. V3 data from official reports; V4 targets from leaks.
🏆 2026 Frontier Model Benchmarks
DeepSeek V4 (expected) vs GPT-5.4 vs Claude 4.6 vs Gemini 3.1 Pro
💻 Code Generation Capability
Performance on programming tasks including code completion, generation and debugging
HumanEval
Python code generation test by OpenAI with 164 programming problems
DeepSeek
89.5%
GPT-3.5
72.5%
GPT-4
86.4%
DeepSeek-Coder-V2 surpasses GPT-3.5, approaches GPT-4 level
MBPP
Python code generation benchmark by Google with 974 test cases
DeepSeek
82.3%
GPT-3.5
76.2%
GPT-4
85.5%
DeepSeek performs excellently, significantly ahead of GPT-3.5
MultiPL-E
Multi-language programming test covering 18 programming languages
DeepSeek
75.8%
GPT-3.5
68.3%
GPT-4
78.2%
Supports 338 languages, outstanding multi-language capability
🧮 Math Reasoning Capability
Capability in math problem solving and logical reasoning
GSM8K
Elementary school math word problems, 8500 questions
DeepSeek
92.3%
GPT-3.5
57.1%
GPT-4
92.0%
DeepSeek slightly leads GPT-4, significantly surpasses GPT-3.5
MATH
High-difficulty math competition problems
DeepSeek
58.7%
GPT-3.5
34.1%
GPT-4
52.9%
Clear advantage in complex math reasoning
📚 General Knowledge Q&A
Comprehensive knowledge capability across multiple disciplines
MMLU
Multiple choice test covering 57 subjects
DeepSeek
84.5%
GPT-3.5
70.0%
GPT-4
86.4%
Slightly below GPT-4, but better than most open-source models
C-Eval
Chinese comprehensive ability evaluation with 13,948 questions
DeepSeek
86.2%
GPT-3.5
69.5%
GPT-4
78.3%
Chinese capability far exceeds GPT series
📖 Reading Comprehension
Long text understanding and information extraction capability
RACE
English reading comprehension test
DeepSeek
89.7%
GPT-3.5
83.2%
GPT-4
91.3%
Approaches GPT-4 level
💰 Cost-Performance Comparison
Under same performance, DeepSeek has clear cost advantage
| Comparison Item | DeepSeek | GPT-4 | Savings |
|---|---|---|---|
| Input Price | $0.14 / 1M tokens | $10.00 / 1M tokens | ↓ 70x |
| Output Price | $0.28 / 1M tokens | $30.00 / 1M tokens | ↓ 107x |
| Daily 1M tokens cost | ~$0.21 | ~$20.00 | ↓ 95x |
| Monthly cost (10M tokens/day avg) | ~$63 | ~$6000 | ↓ 95x |
🌍 Real-World Scenario Tests
Real user experience feedback
Code Generation
Implement a complete REST API
DeepSeek
9/10
GPT
9/10
Clear code structure, complete comments, basically ready to use
Bug Fixing
Analyze and fix complex concurrency bug
DeepSeek
8/10
GPT
8/10
Accurately locates issue, provides reasonable fix solution
Math Problem Solving
Solve high school math competition problems
DeepSeek
9/10
GPT
8/10
Detailed steps, clear explanation, high accuracy
Chinese Understanding
Summarize long Chinese document
DeepSeek
9/10
GPT
7/10
Accurate Chinese understanding, concise summarization
Creative Writing
Write marketing copy
DeepSeek
7/10
GPT
9/10
Content accurate but slightly less creative
⚡ Response Speed Test
Actual performance on Atlas Cloud
First Token Latency
0.8-1.2 seconds
Time from sending request to receiving first token
Streaming Output Speed
30-50 tokens/sec
Tokens generated per second during streaming output
Batch Processing Throughput
10000+ tokens/sec
Total throughput during batch processing
📊 Comprehensive Assessment
DeepSeek excels in code generation, math reasoning, Chinese understanding tasks. Performance approaches GPT-4 but cost only 1/70. For apps requiring massive AI calls, DeepSeek is the best value choice.
Core Strengths
✅ Top-tier code generation, HumanEval 89.5%
✅ Math reasoning accuracy 92.3%, surpasses GPT-4
✅ Chinese capability far exceeds GPT series
✅ Cost only 1/70 of GPT-4
✅ Supports 128K context, V4 will support million-level
Use Recommendations
⚠️ General conversation capability slightly below GPT-4
⚠️ Creative writing not as rich as GPT-4
⚠️ Currently mainly text model, limited multimodal capability