OpenAI o3 is 20.0% cheaper for input tokens ($2.00 vs. $2.50 per 1M tokens) and $8.00 vs. $10.00 for output tokens (1.2x cost advantage). In terms of operational performance, GPT-5 delivers lower response latency at 340ms TTFT (810ms faster than OpenAI o3) with 105 vs. 82 tok/s throughput. GPT-5 leads coding evaluations at 74.9% SWE-bench Verified vs. 71.7% for OpenAI o3 and 85.4% vs. 87.7% 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 o3
Net Delta / Advantage
Input Cost / 1M Tokens
$2.50
$2.00
OpenAI o3 is 1.3x cheaper
Output Cost / 1M Tokens
$10.00
$8.00
OpenAI o3 (20.0% lower)
Prompt Cache Read / 1M
$0.625
$0.500
OpenAI o3 is 1.3x cheaper
Prompt Cache Write / 1M
$2.50
$2.00
OpenAI o3 is 1.3x cheaper
Context Window (Max Output)
410k (128k out)
205k (100k out)
GPT-5 (2.0x larger context)
Avg TTFT Response Latency
340ms
1150ms
GPT-5 (810ms faster)
Generation Speed (Throughput)
105 tok/s
82 tok/s
GPT-5 (+23 tok/s faster)
SWE-bench Verified (Coding)
74.9%
71.7%
GPT-5 (+3.2% lead)
GPQA Diamond (PhD STEM)
85.4%
87.7%
OpenAI o3 (+2.3% lead)
MMLU-Pro (Multi-Discipline)
90.8%
89.8%
GPT-5 (+1.0% lead)
MATH-500 (Quantitative Logic)
98%
98.6%
OpenAI o3 (+0.6% lead)
Inference Value Score (IVR)
59.2 / 100
60.6 / 100
OpenAI o3 (+1.4 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 $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 o3?
GPT-5 delivers faster first-token latency at 340ms TTFT (105 tok/s throughput) compared to 1150ms TTFT (82 tok/s) for OpenAI o3.
How do GPT-5 and OpenAI o3 compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, GPT-5 scores 74.9% versus 71.7% for OpenAI o3. On GPQA Diamond graduate-level STEM reasoning, GPT-5 scores 85.4% versus 87.7% for OpenAI o3 (and 98% vs 98.6% 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 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).
