OpenAI o3-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 (670ms faster than OpenAI o3-mini) with 100 vs. 98 tok/s throughput. OpenAI o3-mini leads coding evaluations at 49.3% SWE-bench Verified vs. 48.0% for GPT-4o and 79.7% 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 o3-mini
Net Delta / Advantage
Input Cost / 1M Tokens
$2.50
$1.10
OpenAI o3-mini is 2.3x cheaper
Output Cost / 1M Tokens
$10.00
$4.40
OpenAI o3-mini (56.0% lower)
Prompt Cache Read / 1M
$1.250
$0.550
OpenAI o3-mini is 2.3x cheaper
Prompt Cache Write / 1M
$2.50
$1.10
OpenAI o3-mini is 2.3x cheaper
Context Window (Max Output)
131k (16k out)
205k (100k out)
OpenAI o3-mini (1.6x larger context)
Avg TTFT Response Latency
280ms
950ms
GPT-4o (670ms faster)
Generation Speed (Throughput)
100 tok/s
98 tok/s
GPT-4o (+2 tok/s faster)
SWE-bench Verified (Coding)
48%
49.3%
OpenAI o3-mini (+1.3% lead)
GPQA Diamond (PhD STEM)
53.6%
79.7%
OpenAI o3-mini (+26.1% lead)
MMLU-Pro (Multi-Discipline)
75.9%
83.2%
OpenAI o3-mini (+7.3% lead)
MATH-500 (Quantitative Logic)
76.6%
97.9%
OpenAI o3-mini (+21.3% lead)
Inference Value Score (IVR)
47.6 / 100
59.7 / 100
OpenAI o3-mini (+12.1 pts)
Interactive Monthly Token Economics & ROI Forecaster
Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.
Choose OpenAI o3-mini (OpenAI) for competitive math reasoning, automated unit test generation, and structured logic pipelines — offering a 204k context window, 950ms TTFT, and $1.10/1M input pricing ($0.550/1M cached reads).
OpenAI o3-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 o3-mini?
GPT-4o delivers faster first-token latency at 280ms TTFT (100 tok/s throughput) compared to 950ms TTFT (98 tok/s) for OpenAI o3-mini.
How do GPT-4o and OpenAI o3-mini compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, GPT-4o scores 48% versus 49.3% for OpenAI o3-mini. On GPQA Diamond graduate-level STEM reasoning, GPT-4o scores 53.6% versus 79.7% for OpenAI o3-mini (and 76.6% vs 97.9% 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 o3-mini?
Choose OpenAI o3-mini (OpenAI) for competitive math reasoning, automated unit test generation, and structured logic pipelines — offering a 204k context window, 950ms TTFT, and $1.10/1M input pricing ($0.550/1M cached reads).
