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-4o delivers lower response latency at 280ms TTFT (240ms faster than DeepSeek V4 Pro) with 100 vs. 78 tok/s throughput. DeepSeek V4 Pro leads coding evaluations at 80.6% SWE-bench Verified vs. 48.0% for GPT-4o and 90.1% vs. 53.6% 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-4o
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
$1.250
DeepSeek V4 Pro is 8.6x cheaper
Prompt Cache Write / 1M
$1.32
$2.50
DeepSeek V4 Pro is 1.9x cheaper
Context Window (Max Output)
1,024k (128k out)
131k (16k out)
DeepSeek V4 Pro (7.8x larger context)
Avg TTFT Response Latency
520ms
280ms
GPT-4o (240ms faster)
Generation Speed (Throughput)
78 tok/s
100 tok/s
GPT-4o (+22 tok/s faster)
SWE-bench Verified (Coding)
80.6%
48%
DeepSeek V4 Pro (+32.6% lead)
GPQA Diamond (PhD STEM)
90.1%
53.6%
DeepSeek V4 Pro (+36.5% lead)
MMLU-Pro (Multi-Discipline)
88.4%
75.9%
DeepSeek V4 Pro (+12.5% lead)
MATH-500 (Quantitative Logic)
97.3%
76.6%
DeepSeek V4 Pro (+20.7% lead)
Inference Value Score (IVR)
67 / 100
47.6 / 100
DeepSeek V4 Pro (+19.4 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-4o.
Which model has lower TTFT latency and higher tok/s throughput: DeepSeek V4 Pro or GPT-4o?
GPT-4o delivers faster first-token latency at 280ms TTFT (100 tok/s throughput) compared to 520ms TTFT (78 tok/s) for DeepSeek V4 Pro.
How do DeepSeek V4 Pro and GPT-4o compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, DeepSeek V4 Pro scores 80.6% versus 48% for GPT-4o. On GPQA Diamond graduate-level STEM reasoning, DeepSeek V4 Pro scores 90.1% versus 53.6% for GPT-4o (and 97.3% vs 76.6% 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-4o?
Choose GPT-4o (OpenAI) for general enterprise assistants, multimodal customer support, and structured JSON output pipelines — offering a 131k context window, 280ms TTFT, and $2.50/1M input pricing ($1.250/1M cached reads).
