GPT-5 is 37.5% cheaper for input tokens ($2.50 vs. $4.00 per 1M tokens) and $10.00 vs. $20.00 for output tokens (1.6x cost advantage). In terms of operational performance, GPT-5 delivers lower response latency at 340ms TTFT (340ms faster than Claude Opus 5.5) with 105 vs. 95 tok/s throughput. Claude Opus 5.5 leads coding evaluations at 89.9% SWE-bench Verified vs. 74.9% for GPT-5 and 93.2% 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 Opus 5.5
GPT-5
Net Delta / Advantage
Input Cost / 1M Tokens
$4.00
$2.50
GPT-5 is 1.6x cheaper
Output Cost / 1M Tokens
$20.00
$10.00
GPT-5 (50.0% lower)
Prompt Cache Read / 1M
$0.200
$0.625
Claude Opus 5.5 is 3.1x cheaper
Prompt Cache Write / 1M
$5.00
$2.50
GPT-5 is 2.0x cheaper
Context Window (Max Output)
1,024k (128k out)
410k (128k out)
Claude Opus 5.5 (2.5x larger context)
Avg TTFT Response Latency
680ms
340ms
GPT-5 (340ms faster)
Generation Speed (Throughput)
95 tok/s
105 tok/s
GPT-5 (+10 tok/s faster)
SWE-bench Verified (Coding)
89.9%
74.9%
Claude Opus 5.5 (+15.0% lead)
GPQA Diamond (PhD STEM)
93.2%
85.4%
Claude Opus 5.5 (+7.8% lead)
MMLU-Pro (Multi-Discipline)
92.1%
90.8%
Claude Opus 5.5 (+1.3% lead)
MATH-500 (Quantitative Logic)
98%
98%
Comparable Score
Inference Value Score (IVR)
57.8 / 100
59.2 / 100
GPT-5 (+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.
Choose Claude Opus 5.5 (Anthropic) for top-ranked frontier intelligence leader for autonomous multi-step agentic coding, repository-scale migrations, and complex scientific reasoning at a 40% lower workload cost than Opus 5 — offering a 1,024k context window, 680ms TTFT, and $4.00/1M input pricing ($0.200/1M cached reads).
GPT-5 is cheaper at $2.50/1M input tokens ($10.00/1M output) compared to $4.00/1M input ($20.00/1M output) for Claude Opus 5.5.
Which model has lower TTFT latency and higher tok/s throughput: Claude Opus 5.5 or GPT-5?
GPT-5 delivers faster first-token latency at 340ms TTFT (105 tok/s throughput) compared to 680ms TTFT (95 tok/s) for Claude Opus 5.5.
How do Claude Opus 5.5 and GPT-5 compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Claude Opus 5.5 scores 89.9% versus 74.9% for GPT-5. On GPQA Diamond graduate-level STEM reasoning, Claude Opus 5.5 scores 93.2% versus 85.4% for GPT-5 (and 98% vs 98% on MATH-500).
When should you choose Claude Opus 5.5?
Choose Claude Opus 5.5 (Anthropic) for top-ranked frontier intelligence leader for autonomous multi-step agentic coding, repository-scale migrations, and complex scientific reasoning at a 40% lower workload cost than Opus 5 — offering a 1,024k context window, 680ms TTFT, and $4.00/1M input pricing ($0.200/1M 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).
