GPT-5 is 83.3% cheaper for input tokens ($2.50 vs. $15.00 per 1M tokens) and $10.00 vs. $75.00 for output tokens (6.0x cost advantage). In terms of operational performance, GPT-5 delivers lower response latency at 340ms TTFT (580ms faster than Claude 4 Opus) with 105 vs. 46 tok/s throughput. Claude 4 Opus leads coding evaluations at 77.2% SWE-bench Verified vs. 74.9% for GPT-5 and 87.1% vs. 85.4% 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
Claude 4 Opus
GPT-5
Net Delta / Advantage
Input Cost / 1M Tokens
$15.00
$2.50
GPT-5 is 6.0x cheaper
Output Cost / 1M Tokens
$75.00
$10.00
GPT-5 (86.7% lower)
Prompt Cache Read / 1M
$1.500
$0.625
GPT-5 is 2.4x cheaper
Prompt Cache Write / 1M
$18.75
$2.50
GPT-5 is 7.5x cheaper
Context Window (Max Output)
205k (64k out)
410k (128k out)
GPT-5 (2.0x larger context)
Avg TTFT Response Latency
920ms
340ms
GPT-5 (580ms faster)
Generation Speed (Throughput)
46 tok/s
105 tok/s
GPT-5 (+59 tok/s faster)
SWE-bench Verified (Coding)
77.2%
74.9%
Claude 4 Opus (+2.3% lead)
GPQA Diamond (PhD STEM)
87.1%
85.4%
Claude 4 Opus (+1.7% lead)
MMLU-Pro (Multi-Discipline)
91.8%
90.8%
Claude 4 Opus (+1.0% lead)
MATH-500 (Quantitative Logic)
98.1%
98%
Claude 4 Opus (+0.1% lead)
Inference Value Score (IVR)
43.6 / 100
59.2 / 100
GPT-5 (+15.6 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 ($75.00/1M output) for Claude 4 Opus.
Which model has lower TTFT latency and higher tok/s throughput: Claude 4 Opus or GPT-5?
GPT-5 delivers faster first-token latency at 340ms TTFT (105 tok/s throughput) compared to 920ms TTFT (46 tok/s) for Claude 4 Opus.
How do Claude 4 Opus and GPT-5 compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Claude 4 Opus scores 77.2% versus 74.9% for GPT-5. On GPQA Diamond graduate-level STEM reasoning, Claude 4 Opus scores 87.1% versus 85.4% for GPT-5 (and 98.1% vs 98% on MATH-500).
When should you choose Claude 4 Opus?
Choose Claude 4 Opus (Anthropic) for mission-critical R&D, long-horizon autonomous coding tasks, complex theorem proving, and executive strategic synthesis — offering a 204k context window, 920ms TTFT, and $15.00/1M input pricing ($1.500/1M cached reads).
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).
