GPT-4o Mini is 99.0% cheaper for input tokens ($0.15 vs. $15.00 per 1M tokens) and $0.60 vs. $60.00 for output tokens (100.0x cost advantage). In terms of operational performance, GPT-4o Mini delivers lower response latency at 220ms TTFT (2380ms faster than o1) with 140 vs. 48 tok/s throughput. o1 leads coding evaluations at 48.9% SWE-bench Verified vs. 41.0% for GPT-4o Mini and 78.0% 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
o1
Net Delta / Advantage
Input Cost / 1M Tokens
$0.15
$15.00
GPT-4o Mini is 100.0x cheaper
Output Cost / 1M Tokens
$0.60
$60.00
GPT-4o Mini (99.0% lower)
Prompt Cache Read / 1M
$0.075
$7.500
GPT-4o Mini is 100.0x cheaper
Prompt Cache Write / 1M
$0.15
$15.00
GPT-4o Mini is 100.0x cheaper
Context Window (Max Output)
131k (16k out)
205k (100k out)
o1 (1.6x larger context)
Avg TTFT Response Latency
220ms
2600ms
GPT-4o Mini (2380ms faster)
Generation Speed (Throughput)
140 tok/s
48 tok/s
GPT-4o Mini (+92 tok/s faster)
SWE-bench Verified (Coding)
41%
48.9%
o1 (+7.9% lead)
GPQA Diamond (PhD STEM)
40.2%
78%
o1 (+37.8% lead)
MMLU-Pro (Multi-Discipline)
68%
83.3%
o1 (+15.3% lead)
MATH-500 (Quantitative Logic)
70.2%
96.4%
o1 (+26.2% lead)
Inference Value Score (IVR)
67.2 / 100
37.2 / 100
GPT-4o Mini (+30 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 $15.00/1M input ($60.00/1M output) for o1.
Which model has lower TTFT latency and higher tok/s throughput: GPT-4o Mini or o1?
GPT-4o Mini delivers faster first-token latency at 220ms TTFT (140 tok/s throughput) compared to 2600ms TTFT (48 tok/s) for o1.
How do GPT-4o Mini and o1 compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, GPT-4o Mini scores 41% versus 48.9% for o1. On GPQA Diamond graduate-level STEM reasoning, GPT-4o Mini scores 40.2% versus 78% for o1 (and 70.2% vs 96.4% 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 o1?
Choose o1 (OpenAI) for legacy reasoning benchmarks, scientific literature review, and complex mathematical proofs — offering a 204k context window, 2600ms TTFT, and $15.00/1M input pricing ($7.500/1M cached reads).
