DeepSeek V4 Pro is 47.2% cheaper for input tokens ($1.32 vs. $2.50 per 1M tokens) and $3.96 vs. $10.00 for output tokens (1.9x cost advantage). In terms of operational performance, GPT-5 delivers lower response latency at 340ms TTFT (180ms faster than DeepSeek V4 Pro) with 105 vs. 78 tok/s throughput. DeepSeek V4 Pro leads coding evaluations at 80.6% SWE-bench Verified vs. 74.9% for GPT-5 and 90.1% vs. 85.4% on GPQA Diamond.
Verified daily via automated API latency tests and official documentation.
Zero-Shot RAG Verified
Verified Performance & Unit Economics Delta (12 Dimensions)
Daily synchronized metrics across token pricing, prompt cache economics, latency, throughput, and 5 capability benchmarks.
Metric / Dimension
DeepSeek V4 Pro
GPT-5
Net Delta / Advantage
Input Cost / 1M Tokens
$1.32
$2.50
DeepSeek V4 Pro is 1.9x cheaper
Output Cost / 1M Tokens
$3.96
$10.00
DeepSeek V4 Pro (60.4% lower)
Prompt Cache Read / 1M
$0.145
$0.625
DeepSeek V4 Pro is 4.3x cheaper
Prompt Cache Write / 1M
$1.32
$2.50
DeepSeek V4 Pro is 1.9x cheaper
Context Window (Max Output)
1,024k (128k out)
410k (128k out)
DeepSeek V4 Pro (2.5x larger context)
Avg TTFT Response Latency
520ms
340ms
GPT-5 (180ms faster)
Generation Speed (Throughput)
78 tok/s
105 tok/s
GPT-5 (+27 tok/s faster)
SWE-bench Verified (Coding)
80.6%
74.9%
DeepSeek V4 Pro (+5.7% lead)
GPQA Diamond (PhD STEM)
90.1%
85.4%
DeepSeek V4 Pro (+4.7% lead)
MMLU-Pro (Multi-Discipline)
88.4%
90.8%
GPT-5 (+2.4% lead)
MATH-500 (Quantitative Logic)
97.3%
98%
GPT-5 (+0.7% lead)
Inference Value Score (IVR)
67 / 100
59.2 / 100
DeepSeek V4 Pro (+7.8 pts)
Interactive Monthly Token Economics & ROI Forecaster
Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.
DeepSeek V4 Pro is cheaper at $1.32/1M input tokens ($3.96/1M output) compared to $2.50/1M input ($10.00/1M output) for GPT-5.
Which model has lower TTFT latency and higher tok/s throughput: DeepSeek V4 Pro or GPT-5?
GPT-5 delivers faster first-token latency at 340ms TTFT (105 tok/s throughput) compared to 520ms TTFT (78 tok/s) for DeepSeek V4 Pro.
How do DeepSeek V4 Pro and GPT-5 compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, DeepSeek V4 Pro scores 80.6% versus 74.9% for GPT-5. On GPQA Diamond graduate-level STEM reasoning, DeepSeek V4 Pro scores 90.1% versus 85.4% for GPT-5 (and 97.3% vs 98% on MATH-500).
When should you choose DeepSeek V4 Pro?
Choose DeepSeek V4 Pro (DeepSeek) for open-weight 1.6T MoE powerhouse designed for cost-effective full-repository code generation, mathematical reasoning, and persistent chain-of-thought multi-step agent workflows — offering a 1,024k context window, 520ms TTFT, and $1.32/1M input pricing ($0.145/1M cached reads).
When should you choose GPT-5?
Choose GPT-5 (OpenAI) for complex enterprise automation, full-stack software engineering, multimodal agent orchestration, and scientific synthesis — offering a 409k context window, 340ms TTFT, and $2.50/1M input pricing ($0.625/1M cached reads).
