OpenAI o4-mini is 56.0% cheaper for input tokens ($1.10 vs. $2.50 per 1M tokens) and $4.40 vs. $10.00 for output tokens (2.3x cost advantage). In terms of operational performance, GPT-4o delivers lower response latency at 280ms TTFT (400ms faster than OpenAI o4-mini) with 100 vs. 125 tok/s throughput. OpenAI o4-mini leads coding evaluations at 68.1% SWE-bench Verified vs. 48.0% for GPT-4o and 81.4% 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
GPT-4o
OpenAI o4-mini
Net Delta / Advantage
Input Cost / 1M Tokens
$2.50
$1.10
OpenAI o4-mini is 2.3x cheaper
Output Cost / 1M Tokens
$10.00
$4.40
OpenAI o4-mini (56.0% lower)
Prompt Cache Read / 1M
$1.250
$0.275
OpenAI o4-mini is 4.5x cheaper
Prompt Cache Write / 1M
$2.50
$1.10
OpenAI o4-mini is 2.3x cheaper
Context Window (Max Output)
131k (16k out)
205k (100k out)
OpenAI o4-mini (1.6x larger context)
Avg TTFT Response Latency
280ms
680ms
GPT-4o (400ms faster)
Generation Speed (Throughput)
100 tok/s
125 tok/s
OpenAI o4-mini (+25 tok/s faster)
SWE-bench Verified (Coding)
48%
68.1%
OpenAI o4-mini (+20.1% lead)
GPQA Diamond (PhD STEM)
53.6%
81.4%
OpenAI o4-mini (+27.8% lead)
MMLU-Pro (Multi-Discipline)
75.9%
85.6%
OpenAI o4-mini (+9.7% lead)
MATH-500 (Quantitative Logic)
76.6%
97.8%
OpenAI o4-mini (+21.2% lead)
Inference Value Score (IVR)
47.6 / 100
63.7 / 100
OpenAI o4-mini (+16.1 pts)
Interactive Monthly Token Economics & ROI Forecaster
Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.
OpenAI o4-mini is cheaper at $1.10/1M input tokens ($4.40/1M 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: GPT-4o or OpenAI o4-mini?
GPT-4o delivers faster first-token latency at 280ms TTFT (100 tok/s throughput) compared to 680ms TTFT (125 tok/s) for OpenAI o4-mini.
How do GPT-4o and OpenAI o4-mini compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, GPT-4o scores 48% versus 68.1% for OpenAI o4-mini. On GPQA Diamond graduate-level STEM reasoning, GPT-4o scores 53.6% versus 81.4% for OpenAI o4-mini (and 76.6% vs 97.8% on MATH-500).
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).
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).
