OpenAI o3 is 86.7% cheaper for input tokens ($2.00 vs. $15.00 per 1M tokens) and $8.00 vs. $60.00 for output tokens (7.5x cost advantage). In terms of operational performance, OpenAI o3 delivers lower response latency at 1150ms TTFT (1450ms faster than o1) with 82 vs. 48 tok/s throughput. OpenAI o3 leads coding evaluations at 71.7% SWE-bench Verified vs. 48.9% for o1 and 87.7% vs. 78.0% 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
o1
OpenAI o3
Net Delta / Advantage
Input Cost / 1M Tokens
$15.00
$2.00
OpenAI o3 is 7.5x cheaper
Output Cost / 1M Tokens
$60.00
$8.00
OpenAI o3 (86.7% lower)
Prompt Cache Read / 1M
$7.500
$0.500
OpenAI o3 is 15.0x cheaper
Prompt Cache Write / 1M
$15.00
$2.00
OpenAI o3 is 7.5x cheaper
Context Window (Max Output)
205k (100k out)
205k (100k out)
Equal Context Window
Avg TTFT Response Latency
2600ms
1150ms
OpenAI o3 (1450ms faster)
Generation Speed (Throughput)
48 tok/s
82 tok/s
OpenAI o3 (+34 tok/s faster)
SWE-bench Verified (Coding)
48.9%
71.7%
OpenAI o3 (+22.8% lead)
GPQA Diamond (PhD STEM)
78%
87.7%
OpenAI o3 (+9.7% lead)
MMLU-Pro (Multi-Discipline)
83.3%
89.8%
OpenAI o3 (+6.5% lead)
MATH-500 (Quantitative Logic)
96.4%
98.6%
OpenAI o3 (+2.2% lead)
Inference Value Score (IVR)
37.2 / 100
60.6 / 100
OpenAI o3 (+23.4 pts)
Interactive Monthly Token Economics & ROI Forecaster
Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.
OpenAI o3 is cheaper at $2.00/1M input tokens ($8.00/1M output) compared to $15.00/1M input ($60.00/1M output) for o1.
Which model has lower TTFT latency and higher tok/s throughput: o1 or OpenAI o3?
OpenAI o3 delivers faster first-token latency at 1150ms TTFT (82 tok/s throughput) compared to 2600ms TTFT (48 tok/s) for o1.
How do o1 and OpenAI o3 compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, o1 scores 48.9% versus 71.7% for OpenAI o3. On GPQA Diamond graduate-level STEM reasoning, o1 scores 78% versus 87.7% for OpenAI o3 (and 96.4% vs 98.6% on MATH-500).
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).
When should you choose OpenAI o3?
Choose OpenAI o3 (OpenAI) for algorithmic synthesis, mathematical verification, PhD-level scientific research, and multi-step tool planning — offering a 204k context window, 1150ms TTFT, and $2.00/1M input pricing ($0.500/1M cached reads).
