DeepSeek V3 is 94.4% cheaper for input tokens ($0.14 vs. $2.50 per 1M tokens) and $0.28 vs. $10.00 for output tokens (17.9x cost advantage). In terms of operational performance, GPT-4o delivers lower response latency at 280ms TTFT (130ms faster than DeepSeek V3) with 100 vs. 78 tok/s throughput. GPT-4o leads coding evaluations at 48.0% SWE-bench Verified vs. 42.0% for DeepSeek V3 and 53.6% vs. 59.1% 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 V3
GPT-4o
Net Delta / Advantage
Input Cost / 1M Tokens
$0.14
$2.50
DeepSeek V3 is 17.9x cheaper
Output Cost / 1M Tokens
$0.28
$10.00
DeepSeek V3 (97.2% lower)
Prompt Cache Read / 1M
$0.014
$1.250
DeepSeek V3 is 89.3x cheaper
Prompt Cache Write / 1M
$0.14
$2.50
DeepSeek V3 is 17.9x cheaper
Context Window (Max Output)
131k (8k out)
131k (16k out)
Equal Context Window
Avg TTFT Response Latency
410ms
280ms
GPT-4o (130ms faster)
Generation Speed (Throughput)
78 tok/s
100 tok/s
GPT-4o (+22 tok/s faster)
SWE-bench Verified (Coding)
42%
48%
GPT-4o (+6.0% lead)
GPQA Diamond (PhD STEM)
59.1%
53.6%
DeepSeek V3 (+5.5% lead)
MMLU-Pro (Multi-Discipline)
75.9%
75.9%
Comparable Score
MATH-500 (Quantitative Logic)
90.2%
76.6%
DeepSeek V3 (+13.6% lead)
Inference Value Score (IVR)
75 / 100
47.6 / 100
DeepSeek V3 (+27.4 pts)
Interactive Monthly Token Economics & ROI Forecaster
Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.
DeepSeek V3 is cheaper at $0.14/1M input tokens ($0.28/1M 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 V3 or GPT-4o?
GPT-4o delivers faster first-token latency at 280ms TTFT (100 tok/s throughput) compared to 410ms TTFT (78 tok/s) for DeepSeek V3.
How do DeepSeek V3 and GPT-4o compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, DeepSeek V3 scores 42% versus 48% for GPT-4o. On GPQA Diamond graduate-level STEM reasoning, DeepSeek V3 scores 59.1% versus 53.6% for GPT-4o (and 90.2% vs 76.6% on MATH-500).
When should you choose DeepSeek V3?
Choose DeepSeek V3 (DeepSeek) for cost-sensitive batch text processing, drafting, and open-weight self-hosted inference — offering a 131k context window, 410ms TTFT, and $0.14/1M input pricing ($0.014/1M 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).
