GPT-4o 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-4o delivers lower response latency at 280ms TTFT (400ms faster than Claude Opus 5.5) with 100 vs. 95 tok/s throughput. Claude Opus 5.5 leads coding evaluations at 89.9% SWE-bench Verified vs. 48.0% for GPT-4o and 93.2% vs. 53.6% 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-4o
Net Delta / Advantage
Input Cost / 1M Tokens
$4.00
$2.50
GPT-4o is 1.6x cheaper
Output Cost / 1M Tokens
$20.00
$10.00
GPT-4o (50.0% lower)
Prompt Cache Read / 1M
$0.200
$1.250
Claude Opus 5.5 is 6.3x cheaper
Prompt Cache Write / 1M
$5.00
$2.50
GPT-4o is 2.0x cheaper
Context Window (Max Output)
1,024k (128k out)
131k (16k out)
Claude Opus 5.5 (7.8x larger context)
Avg TTFT Response Latency
680ms
280ms
GPT-4o (400ms faster)
Generation Speed (Throughput)
95 tok/s
100 tok/s
GPT-4o (+5 tok/s faster)
SWE-bench Verified (Coding)
89.9%
48%
Claude Opus 5.5 (+41.9% lead)
GPQA Diamond (PhD STEM)
93.2%
53.6%
Claude Opus 5.5 (+39.6% lead)
MMLU-Pro (Multi-Discipline)
92.1%
75.9%
Claude Opus 5.5 (+16.2% lead)
MATH-500 (Quantitative Logic)
98%
76.6%
Claude Opus 5.5 (+21.4% lead)
Inference Value Score (IVR)
57.8 / 100
47.6 / 100
Claude Opus 5.5 (+10.2 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-4o 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-4o?
GPT-4o delivers faster first-token latency at 280ms TTFT (100 tok/s throughput) compared to 680ms TTFT (95 tok/s) for Claude Opus 5.5.
How do Claude Opus 5.5 and GPT-4o compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Claude Opus 5.5 scores 89.9% versus 48% for GPT-4o. On GPQA Diamond graduate-level STEM reasoning, Claude Opus 5.5 scores 93.2% versus 53.6% for GPT-4o (and 98% vs 76.6% 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-4o?
Choose GPT-4o (OpenAI) for general enterprise assistants, multimodal customer support, and structured JSON output pipelines — offering a 131k context window, 280ms TTFT, and $2.50/1M input pricing ($1.250/1M cached reads).