GPT-4o cuts input token costs by 83.3% compared to o1 ($2.50 vs. $15.00 per 1M input tokens; $10.00 vs. $60.00/1M output). For autonomous software engineering, o1 leads on SWE-bench Verified (48.9% vs. 48.0%), while o1 edges ahead on GPQA Diamond scientific reasoning (78.0%). In real-time API production, GPT-4o achieves a faster 280ms TTFT latency (100.0 tokens/sec).
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
o1
Net Delta / Advantage
Input Cost / 1M Tokens
$2.50
$15.00
GPT-4o is 6.0x cheaper
Output Cost / 1M Tokens
$10.00
$60.00
GPT-4o (83.3% lower)
Prompt Cache Read / 1M
$1.250
$7.500
GPT-4o is 6.0x cheaper
Prompt Cache Write / 1M
$2.50
$15.00
GPT-4o is 6.0x cheaper
Context Window (Max Output)
131k (16k out)
205k (100k out)
o1 (1.6x larger context)
Avg TTFT Response Latency
280ms
2600ms
GPT-4o (2320ms faster)
Generation Speed (Throughput)
100 tok/s
48 tok/s
GPT-4o (+52 tok/s faster)
SWE-bench Verified (Coding)
48%
48.9%
o1 (+0.9% lead)
GPQA Diamond (PhD STEM)
53.6%
78%
o1 (+24.4% lead)
MMLU-Pro (Multi-Discipline)
75.9%
83.3%
o1 (+7.4% lead)
MATH-500 (Quantitative Logic)
76.6%
96.4%
o1 (+19.8% lead)
Inference Value Score (IVR)
47.6 / 100
37.2 / 100
GPT-4o (+10.4 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 is cheaper at $2.50/1M input tokens ($10.00/1M 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 or o1?
GPT-4o delivers faster first-token latency at 280ms TTFT (100 tok/s throughput) compared to 2600ms TTFT (48 tok/s) for o1.
How do GPT-4o and o1 compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, GPT-4o scores 48% versus 48.9% for o1. On GPQA Diamond graduate-level STEM reasoning, GPT-4o scores 53.6% versus 78% for o1 (and 76.6% vs 96.4% on MATH-500).
When should you choose GPT-4o?
Deploy GPT-4o when your architecture requires 48.0% SWE-bench coding accuracy, 53.6% GPQA Diamond reasoning, and 131k context at $2.50/1M input ($1.250/1M cached read).
When should you choose o1?
Select o1 for workloads prioritizing 2600ms TTFT latency, 48.0 tokens/sec throughput, and $15.00/1M input pricing ($7.500/1M cached read).
