GPT-5 is 83.3% cheaper for input tokens ($2.50 vs. $15.00 per 1M tokens) and $10.00 vs. $60.00 for output tokens (6.0x cost advantage). In terms of operational performance, GPT-5 delivers lower response latency at 340ms TTFT (2260ms faster than o1) with 105 vs. 48 tok/s throughput. GPT-5 leads coding evaluations at 74.9% SWE-bench Verified vs. 48.9% for o1 and 85.4% 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
GPT-5
o1
Net Delta / Advantage
Input Cost / 1M Tokens
$2.50
$15.00
GPT-5 is 6.0x cheaper
Output Cost / 1M Tokens
$10.00
$60.00
GPT-5 (83.3% lower)
Prompt Cache Read / 1M
$0.625
$7.500
GPT-5 is 12.0x cheaper
Prompt Cache Write / 1M
$2.50
$15.00
GPT-5 is 6.0x cheaper
Context Window (Max Output)
410k (128k out)
205k (100k out)
GPT-5 (2.0x larger context)
Avg TTFT Response Latency
340ms
2600ms
GPT-5 (2260ms faster)
Generation Speed (Throughput)
105 tok/s
48 tok/s
GPT-5 (+57 tok/s faster)
SWE-bench Verified (Coding)
74.9%
48.9%
GPT-5 (+26.0% lead)
GPQA Diamond (PhD STEM)
85.4%
78%
GPT-5 (+7.4% lead)
MMLU-Pro (Multi-Discipline)
90.8%
83.3%
GPT-5 (+7.5% lead)
MATH-500 (Quantitative Logic)
98%
96.4%
GPT-5 (+1.6% lead)
Inference Value Score (IVR)
59.2 / 100
37.2 / 100
GPT-5 (+22 pts)
Interactive Monthly Token Economics & ROI Forecaster
Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.
GPT-5 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-5 or o1?
GPT-5 delivers faster first-token latency at 340ms TTFT (105 tok/s throughput) compared to 2600ms TTFT (48 tok/s) for o1.
How do GPT-5 and o1 compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, GPT-5 scores 74.9% versus 48.9% for o1. On GPQA Diamond graduate-level STEM reasoning, GPT-5 scores 85.4% versus 78% for o1 (and 98% vs 96.4% 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 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).
