Which model is better: Claude 4 Opus or OpenAI o4-mini?
OpenAI o4-mini is 92.7% cheaper for input tokens ($1.10 vs. $15.00 per 1M tokens) and $4.40 vs. $75.00 for output tokens (13.6x cost advantage). In terms of operational performance, OpenAI o4-mini delivers lower response latency at 680ms TTFT (240ms faster than Claude 4 Opus) with 125 vs. 46 tok/s throughput. Claude 4 Opus leads coding evaluations at 77.2% SWE-bench Verified vs. 68.1% for OpenAI o4-mini and 87.1% vs. 81.4% 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
OpenAI o4-mini
Net Delta / Advantage
Input Cost / 1M Tokens
$15.00
$1.10
OpenAI o4-mini is 13.6x cheaper
Output Cost / 1M Tokens
$75.00
$4.40
OpenAI o4-mini (94.1% lower)
Prompt Cache Read / 1M
$1.500
$0.275
OpenAI o4-mini is 5.5x cheaper
Prompt Cache Write / 1M
$18.75
$1.10
OpenAI o4-mini is 17.0x cheaper
Context Window (Max Output)
205k (64k out)
205k (100k out)
Equal Context Window
Avg TTFT Response Latency
920ms
680ms
OpenAI o4-mini (240ms faster)
Generation Speed (Throughput)
46 tok/s
125 tok/s
OpenAI o4-mini (+79 tok/s faster)
SWE-bench Verified (Coding)
77.2%
68.1%
Claude 4 Opus (+9.1% lead)
GPQA Diamond (PhD STEM)
87.1%
81.4%
Claude 4 Opus (+5.7% lead)
MMLU-Pro (Multi-Discipline)
91.8%
85.6%
Claude 4 Opus (+6.2% lead)
MATH-500 (Quantitative Logic)
98.1%
97.8%
Claude 4 Opus (+0.3% lead)
Inference Value Score (IVR)
43.6 / 100
63.7 / 100
OpenAI o4-mini (+20.1 pts)
Interactive Monthly Token Economics & ROI Forecaster
Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.
Which is cheaper: Claude 4 Opus or OpenAI o4-mini?
OpenAI o4-mini is cheaper at $1.10/1M input tokens ($4.40/1M 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 OpenAI o4-mini?
OpenAI o4-mini delivers faster first-token latency at 680ms TTFT (125 tok/s throughput) compared to 920ms TTFT (46 tok/s) for Claude 4 Opus.
How do Claude 4 Opus and OpenAI o4-mini compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Claude 4 Opus scores 77.2% versus 68.1% for OpenAI o4-mini. On GPQA Diamond graduate-level STEM reasoning, Claude 4 Opus scores 87.1% versus 81.4% for OpenAI o4-mini (and 98.1% vs 97.8% 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 OpenAI o4-mini?
Choose OpenAI o4-mini (OpenAI) for automated PR review, high-volume agentic coding loops, SQL/data analysis, and visual document reasoning — offering a 204k context window, 680ms TTFT, and $1.10/1M input pricing ($0.275/1M cached reads).
