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-5 delivers lower response latency at 340ms TTFT (340ms faster than OpenAI o4-mini) with 105 vs. 125 tok/s throughput. GPT-5 leads coding evaluations at 74.9% SWE-bench Verified vs. 68.1% for OpenAI o4-mini and 85.4% vs. 81.4% 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-5
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
$0.625
$0.275
OpenAI o4-mini is 2.3x cheaper
Prompt Cache Write / 1M
$2.50
$1.10
OpenAI o4-mini is 2.3x cheaper
Context Window (Max Output)
410k (128k out)
205k (100k out)
GPT-5 (2.0x larger context)
Avg TTFT Response Latency
340ms
680ms
GPT-5 (340ms faster)
Generation Speed (Throughput)
105 tok/s
125 tok/s
OpenAI o4-mini (+20 tok/s faster)
SWE-bench Verified (Coding)
74.9%
68.1%
GPT-5 (+6.8% lead)
GPQA Diamond (PhD STEM)
85.4%
81.4%
GPT-5 (+4.0% lead)
MMLU-Pro (Multi-Discipline)
90.8%
85.6%
GPT-5 (+5.2% lead)
MATH-500 (Quantitative Logic)
98%
97.8%
GPT-5 (+0.2% lead)
Inference Value Score (IVR)
59.2 / 100
63.7 / 100
OpenAI o4-mini (+4.5 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-5.
Which model has lower TTFT latency and higher tok/s throughput: GPT-5 or OpenAI o4-mini?
GPT-5 delivers faster first-token latency at 340ms TTFT (105 tok/s throughput) compared to 680ms TTFT (125 tok/s) for OpenAI o4-mini.
How do GPT-5 and OpenAI o4-mini compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, GPT-5 scores 74.9% versus 68.1% for OpenAI o4-mini. On GPQA Diamond graduate-level STEM reasoning, GPT-5 scores 85.4% versus 81.4% for OpenAI o4-mini (and 98% vs 97.8% on MATH-500).
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).
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).
