Which model is better: DeepSeek V4 Pro or GPT-4o Mini?
GPT-4o Mini is 88.6% cheaper for input tokens ($0.15 vs. $1.32 per 1M tokens) and $0.60 vs. $3.96 for output tokens (8.8x cost advantage). In terms of operational performance, GPT-4o Mini delivers lower response latency at 220ms TTFT (300ms faster than DeepSeek V4 Pro) with 140 vs. 78 tok/s throughput. DeepSeek V4 Pro leads coding evaluations at 80.6% SWE-bench Verified vs. 41.0% for GPT-4o Mini and 90.1% vs. 40.2% 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 Mini
Net Delta / Advantage
Input Cost / 1M Tokens
$1.32
$0.15
GPT-4o Mini is 8.8x cheaper
Output Cost / 1M Tokens
$3.96
$0.60
GPT-4o Mini (84.8% lower)
Prompt Cache Read / 1M
$0.145
$0.075
GPT-4o Mini is 1.9x cheaper
Prompt Cache Write / 1M
$1.32
$0.15
GPT-4o Mini is 8.8x cheaper
Context Window (Max Output)
1,024k (128k out)
131k (16k out)
DeepSeek V4 Pro (7.8x larger context)
Avg TTFT Response Latency
520ms
220ms
GPT-4o Mini (300ms faster)
Generation Speed (Throughput)
78 tok/s
140 tok/s
GPT-4o Mini (+62 tok/s faster)
SWE-bench Verified (Coding)
80.6%
41%
DeepSeek V4 Pro (+39.6% lead)
GPQA Diamond (PhD STEM)
90.1%
40.2%
DeepSeek V4 Pro (+49.9% lead)
MMLU-Pro (Multi-Discipline)
88.4%
68%
DeepSeek V4 Pro (+20.4% lead)
MATH-500 (Quantitative Logic)
97.3%
70.2%
DeepSeek V4 Pro (+27.1% lead)
Inference Value Score (IVR)
67 / 100
67.2 / 100
GPT-4o Mini (+0.2 pts)
Interactive Monthly Token Economics & ROI Forecaster
Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.
GPT-4o Mini is cheaper at $0.15/1M input tokens ($0.60/1M output) compared to $1.32/1M input ($3.96/1M output) for DeepSeek V4 Pro.
Which model has lower TTFT latency and higher tok/s throughput: DeepSeek V4 Pro or GPT-4o Mini?
GPT-4o Mini delivers faster first-token latency at 220ms TTFT (140 tok/s throughput) compared to 520ms TTFT (78 tok/s) for DeepSeek V4 Pro.
How do DeepSeek V4 Pro and GPT-4o Mini compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, DeepSeek V4 Pro scores 80.6% versus 41% for GPT-4o Mini. On GPQA Diamond graduate-level STEM reasoning, DeepSeek V4 Pro scores 90.1% versus 40.2% for GPT-4o Mini (and 97.3% vs 70.2% 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 Mini?
Choose GPT-4o Mini (OpenAI) for high-volume classification, lightweight RAG chatbots, and structured JSON extraction — offering a 131k context window, 220ms TTFT, and $0.15/1M input pricing ($0.075/1M cached reads).
