GPT-4o Mini is 94.0% cheaper for input tokens ($0.15 vs. $2.50 per 1M tokens) and $0.60 vs. $10.00 for output tokens (16.7x cost advantage). In terms of operational performance, GPT-4o Mini delivers lower response latency at 220ms TTFT (120ms faster than GPT-5) with 140 vs. 105 tok/s throughput. GPT-5 leads coding evaluations at 74.9% SWE-bench Verified vs. 41.0% for GPT-4o Mini and 85.4% 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
GPT-4o Mini
GPT-5
Net Delta / Advantage
Input Cost / 1M Tokens
$0.15
$2.50
GPT-4o Mini is 16.7x cheaper
Output Cost / 1M Tokens
$0.60
$10.00
GPT-4o Mini (94.0% lower)
Prompt Cache Read / 1M
$0.075
$0.625
GPT-4o Mini is 8.3x cheaper
Prompt Cache Write / 1M
$0.15
$2.50
GPT-4o Mini is 16.7x cheaper
Context Window (Max Output)
131k (16k out)
410k (128k out)
GPT-5 (3.1x larger context)
Avg TTFT Response Latency
220ms
340ms
GPT-4o Mini (120ms faster)
Generation Speed (Throughput)
140 tok/s
105 tok/s
GPT-4o Mini (+35 tok/s faster)
SWE-bench Verified (Coding)
41%
74.9%
GPT-5 (+33.9% lead)
GPQA Diamond (PhD STEM)
40.2%
85.4%
GPT-5 (+45.2% lead)
MMLU-Pro (Multi-Discipline)
68%
90.8%
GPT-5 (+22.8% lead)
MATH-500 (Quantitative Logic)
70.2%
98%
GPT-5 (+27.8% lead)
Inference Value Score (IVR)
67.2 / 100
59.2 / 100
GPT-4o Mini (+8 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 $2.50/1M input ($10.00/1M output) for GPT-5.
Which model has lower TTFT latency and higher tok/s throughput: GPT-4o Mini or GPT-5?
GPT-4o Mini delivers faster first-token latency at 220ms TTFT (140 tok/s throughput) compared to 340ms TTFT (105 tok/s) for GPT-5.
How do GPT-4o Mini and GPT-5 compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, GPT-4o Mini scores 41% versus 74.9% for GPT-5. On GPQA Diamond graduate-level STEM reasoning, GPT-4o Mini scores 40.2% versus 85.4% for GPT-5 (and 70.2% vs 98% on MATH-500).
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).
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).
