Which model is better: Claude 4 Opus or GPT-4o Mini?
GPT-4o Mini is 99.0% cheaper for input tokens ($0.15 vs. $15.00 per 1M tokens) and $0.60 vs. $75.00 for output tokens (100.0x cost advantage). In terms of operational performance, GPT-4o Mini delivers lower response latency at 220ms TTFT (700ms faster than Claude 4 Opus) with 140 vs. 46 tok/s throughput. Claude 4 Opus leads coding evaluations at 77.2% SWE-bench Verified vs. 41.0% for GPT-4o Mini and 87.1% vs. 40.2% 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-4o Mini
Net Delta / Advantage
Input Cost / 1M Tokens
$15.00
$0.15
GPT-4o Mini is 100.0x cheaper
Output Cost / 1M Tokens
$75.00
$0.60
GPT-4o Mini (99.2% lower)
Prompt Cache Read / 1M
$1.500
$0.075
GPT-4o Mini is 20.0x cheaper
Prompt Cache Write / 1M
$18.75
$0.15
GPT-4o Mini is 125.0x cheaper
Context Window (Max Output)
205k (64k out)
131k (16k out)
Claude 4 Opus (1.6x larger context)
Avg TTFT Response Latency
920ms
220ms
GPT-4o Mini (700ms faster)
Generation Speed (Throughput)
46 tok/s
140 tok/s
GPT-4o Mini (+94 tok/s faster)
SWE-bench Verified (Coding)
77.2%
41%
Claude 4 Opus (+36.2% lead)
GPQA Diamond (PhD STEM)
87.1%
40.2%
Claude 4 Opus (+46.9% lead)
MMLU-Pro (Multi-Discipline)
91.8%
68%
Claude 4 Opus (+23.8% lead)
MATH-500 (Quantitative Logic)
98.1%
70.2%
Claude 4 Opus (+27.9% lead)
Inference Value Score (IVR)
43.6 / 100
67.2 / 100
GPT-4o Mini (+23.6 pts)
Interactive Monthly Token Economics & ROI Forecaster
Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.
GPT-4o Mini is cheaper at $0.15/1M input tokens ($0.60/1M 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-4o Mini?
GPT-4o Mini delivers faster first-token latency at 220ms TTFT (140 tok/s throughput) compared to 920ms TTFT (46 tok/s) for Claude 4 Opus.
How do Claude 4 Opus and GPT-4o Mini compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Claude 4 Opus scores 77.2% versus 41% for GPT-4o Mini. On GPQA Diamond graduate-level STEM reasoning, Claude 4 Opus scores 87.1% versus 40.2% for GPT-4o Mini (and 98.1% vs 70.2% 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-4o Mini?
Choose GPT-4o Mini (OpenAI) for high-volume classification, lightweight RAG chatbots, and structured JSON extraction — offering a 131k context window, 220ms TTFT, and $0.15/1M input pricing ($0.075/1M cached reads).
