GPT-4o Mini is 95.0% cheaper for input tokens ($0.15 vs. $3.00 per 1M tokens) and $0.60 vs. $15.00 for output tokens (20.0x cost advantage). In terms of operational performance, GPT-4o Mini delivers lower response latency at 220ms TTFT (400ms faster than Grok 3) with 140 vs. 88 tok/s throughput. Grok 3 leads coding evaluations at 65.8% SWE-bench Verified vs. 41.0% for GPT-4o Mini and 84.6% 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
GPT-4o Mini
Grok 3
Net Delta / Advantage
Input Cost / 1M Tokens
$0.15
$3.00
GPT-4o Mini is 20.0x cheaper
Output Cost / 1M Tokens
$0.60
$15.00
GPT-4o Mini (96.0% lower)
Prompt Cache Read / 1M
$0.075
$0.750
GPT-4o Mini is 10.0x cheaper
Prompt Cache Write / 1M
$0.15
$3.00
GPT-4o Mini is 20.0x cheaper
Context Window (Max Output)
131k (16k out)
134k (16k out)
Grok 3 (1.0x larger context)
Avg TTFT Response Latency
220ms
620ms
GPT-4o Mini (400ms faster)
Generation Speed (Throughput)
140 tok/s
88 tok/s
GPT-4o Mini (+52 tok/s faster)
SWE-bench Verified (Coding)
41%
65.8%
Grok 3 (+24.8% lead)
GPQA Diamond (PhD STEM)
40.2%
84.6%
Grok 3 (+44.4% lead)
MMLU-Pro (Multi-Discipline)
68%
80%
Grok 3 (+12.0% lead)
MATH-500 (Quantitative Logic)
70.2%
89.8%
Grok 3 (+19.6% lead)
Inference Value Score (IVR)
67.2 / 100
52.7 / 100
GPT-4o Mini (+14.5 pts)
Interactive Monthly Token Economics & ROI Forecaster
Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.
Choose Grok 3 (xAI) for massive compute foundation model specialized in PhD-level science reasoning, real-time data analysis, and enterprise logic — offering a 134k context window, 620ms TTFT, and $3.00/1M input pricing ($0.750/1M cached reads).
GPT-4o Mini is cheaper at $0.15/1M input tokens ($0.60/1M output) compared to $3.00/1M input ($15.00/1M output) for Grok 3.
Which model has lower TTFT latency and higher tok/s throughput: GPT-4o Mini or Grok 3?
GPT-4o Mini delivers faster first-token latency at 220ms TTFT (140 tok/s throughput) compared to 620ms TTFT (88 tok/s) for Grok 3.
How do GPT-4o Mini and Grok 3 compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, GPT-4o Mini scores 41% versus 65.8% for Grok 3. On GPQA Diamond graduate-level STEM reasoning, GPT-4o Mini scores 40.2% versus 84.6% for Grok 3 (and 70.2% vs 89.8% on MATH-500).
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).
When should you choose Grok 3?
Choose Grok 3 (xAI) for massive compute foundation model specialized in PhD-level science reasoning, real-time data analysis, and enterprise logic — offering a 134k context window, 620ms TTFT, and $3.00/1M input pricing ($0.750/1M cached reads).
