Which model is better: GPT-4o Mini or OpenAI o4-mini?
GPT-4o Mini is 86.4% cheaper for input tokens ($0.15 vs. $1.10 per 1M tokens) and $0.60 vs. $4.40 for output tokens (7.3x cost advantage). In terms of operational performance, GPT-4o Mini delivers lower response latency at 220ms TTFT (460ms faster than OpenAI o4-mini) with 140 vs. 125 tok/s throughput. OpenAI o4-mini leads coding evaluations at 68.1% SWE-bench Verified vs. 41.0% for GPT-4o Mini and 81.4% 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
OpenAI o4-mini
Net Delta / Advantage
Input Cost / 1M Tokens
$0.15
$1.10
GPT-4o Mini is 7.3x cheaper
Output Cost / 1M Tokens
$0.60
$4.40
GPT-4o Mini (86.4% lower)
Prompt Cache Read / 1M
$0.075
$0.275
GPT-4o Mini is 3.7x cheaper
Prompt Cache Write / 1M
$0.15
$1.10
GPT-4o Mini is 7.3x cheaper
Context Window (Max Output)
131k (16k out)
205k (100k out)
OpenAI o4-mini (1.6x larger context)
Avg TTFT Response Latency
220ms
680ms
GPT-4o Mini (460ms faster)
Generation Speed (Throughput)
140 tok/s
125 tok/s
GPT-4o Mini (+15 tok/s faster)
SWE-bench Verified (Coding)
41%
68.1%
OpenAI o4-mini (+27.1% lead)
GPQA Diamond (PhD STEM)
40.2%
81.4%
OpenAI o4-mini (+41.2% lead)
MMLU-Pro (Multi-Discipline)
68%
85.6%
OpenAI o4-mini (+17.6% lead)
MATH-500 (Quantitative Logic)
70.2%
97.8%
OpenAI o4-mini (+27.6% lead)
Inference Value Score (IVR)
67.2 / 100
63.7 / 100
GPT-4o Mini (+3.5 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 $1.10/1M input ($4.40/1M output) for OpenAI o4-mini.
Which model has lower TTFT latency and higher tok/s throughput: GPT-4o Mini or OpenAI o4-mini?
GPT-4o Mini delivers faster first-token latency at 220ms TTFT (140 tok/s throughput) compared to 680ms TTFT (125 tok/s) for OpenAI o4-mini.
How do GPT-4o Mini and OpenAI o4-mini compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, GPT-4o Mini scores 41% versus 68.1% for OpenAI o4-mini. On GPQA Diamond graduate-level STEM reasoning, GPT-4o Mini scores 40.2% versus 81.4% for OpenAI o4-mini (and 70.2% vs 97.8% 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 OpenAI o4-mini?
Choose OpenAI o4-mini (OpenAI) for automated PR review, high-volume agentic coding loops, SQL/data analysis, and visual document reasoning — offering a 204k context window, 680ms TTFT, and $1.10/1M input pricing ($0.275/1M cached reads).
