DeepSeek V4

DeepSeek Benchmarks | SWE-bench, HumanEval vs GPT-5.4, Claude 4.6, Gemini 3.1

DeepSeek V3/V4 benchmark results: SWE-bench, LiveCodeBench, MMLU vs GPT-5.4, Claude 4.6, Gemini 3.1 Pro | 2026 AI comparison

DeepSeek excels across multiple benchmark tests. V4 scores 80.6% on SWE-bench Verified — the highest among open models, tied with Gemini 3.1 Pro (80.6%) and ahead of GPT-5.4 (77.2%) — at roughly 5-30x lower cost. Figures below are from DeepSeek's official release (2026-04-24) and competitors' official results.

🏆 2026 Frontier Model Benchmarks

DeepSeek V4 vs GPT-5.4 vs Claude 4.6 vs Gemini 3.1 Pro

Benchmark

DeepSeek V4

GPT-5.4

Claude 4.6

Gemini 3.1 Pro

SWE-bench Verified

80.6%

77.2%

80.8%

80.6%

LiveCodeBench (Pass@1)

93.5

N/A

MMLU-Pro

87.5%

N/A

Context Window

1.05M

Input Price / M tokens

$0.435 (Pro)

$2.50

$5.00

$2.00

Output Price / M tokens

$0.87 (Pro)

$15.00

$25.00

$12.00

Open Source

✅ MIT

❌

DeepSeek V4 data are from DeepSeek's official release (2026-04-24). GPT-5.4, Claude 4.6, Gemini 3.1 data from official releases. Some third-party figures may shift as evaluations update.

💻 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 Leading

DeepSeek

89.5%

GPT-3.5

72.5%

GPT-4

86.4%

Historical V3-era code result; DeepSeek V4 now leads with SWE-bench 80.6% and LiveCodeBench 93.5

MBPP

Python code generation benchmark by Google with 974 test cases

DeepSeek

82.3%

GPT-3.5

76.2%

GPT-4

85.5%

Historical V3-era result; DeepSeek V4 reaches frontier coding (SWE-bench 80.6%)

MultiPL-E

Multi-language programming test covering 18 programming languages

Comprehensive knowledge capability across multiple disciplines

MMLU

Multiple choice test covering 57 subjects

Frontier Model Leading

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 Leading

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

At frontier performance, DeepSeek V4 has a clear cost advantage

Comparison Item	DeepSeek V4-Flash	Claude 4.6	Savings
Input Price	$0.14 / 1M tokens	$5.00 / 1M tokens	↓ ~36x
Output Price	$0.28 / 1M tokens	$25.00 / 1M tokens	↓ ~89x
Daily 1M tokens cost	~$0.21	~$15.00	↓ ~71x
Monthly cost (10M tokens/day avg)	~$63	~$4500	↓ ~71x

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

💡 Tip: Actual speed affected by network, request parameters and other factors

📊 Comprehensive Assessment

DeepSeek V4 excels at agentic coding, math reasoning and Chinese understanding. It matches frontier models like GPT-5.4, Claude 4.6 and Gemini 3.1 Pro across many benchmarks (SWE-bench 80.6%) at roughly 5-30x lower cost. For apps with heavy AI usage, DeepSeek is the best value choice.

Core Strengths

✅ Frontier agentic coding: SWE-bench 80.6%, LiveCodeBench 93.5

✅ Strong reasoning: GPQA 90.1%, MMLU-Pro 87.5%, GSM8K 92.6%

✅ Chinese capability far exceeds western models

✅ Roughly 5-30x cheaper than GPT-5.4 / Claude 4.6 / Gemini 3.1

✅ V4 supports a 1M-token context window (CSA+HCA)

Use Recommendations

⚠️ General conversation capability slightly below GPT-5.4

⚠️ Creative writing not as rich as GPT-5.4

⚠️ Focused on text, code and reasoning — not a multimodal model

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