GPT-4o is 16.7% cheaper for input tokens ($2.50 vs. $3.00 per 1M tokens) and $10.00 vs. $15.00 for output tokens (1.2x cost advantage). In terms of operational performance, GPT-4o delivers lower response latency at 280ms TTFT (340ms faster than Grok 3) with 100 vs. 88 tok/s throughput. Grok 3 leads coding evaluations at 65.8% SWE-bench Verified vs. 48.0% for GPT-4o and 84.6% 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
GPT-4o
Grok 3
Net Delta / Advantage
Input Cost / 1M Tokens
$2.50
$3.00
GPT-4o is 1.2x cheaper
Output Cost / 1M Tokens
$10.00
$15.00
GPT-4o (33.3% lower)
Prompt Cache Read / 1M
$1.250
$0.750
Grok 3 is 1.7x cheaper
Prompt Cache Write / 1M
$2.50
$3.00
GPT-4o is 1.2x cheaper
Context Window (Max Output)
131k (16k out)
134k (16k out)
Grok 3 (1.0x larger context)
Avg TTFT Response Latency
280ms
620ms
GPT-4o (340ms faster)
Generation Speed (Throughput)
100 tok/s
88 tok/s
GPT-4o (+12 tok/s faster)
SWE-bench Verified (Coding)
48%
65.8%
Grok 3 (+17.8% lead)
GPQA Diamond (PhD STEM)
53.6%
84.6%
Grok 3 (+31.0% lead)
MMLU-Pro (Multi-Discipline)
75.9%
80%
Grok 3 (+4.1% lead)
MATH-500 (Quantitative Logic)
76.6%
89.8%
Grok 3 (+13.2% lead)
Inference Value Score (IVR)
47.6 / 100
52.7 / 100
Grok 3 (+5.1 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 is cheaper at $2.50/1M input tokens ($10.00/1M 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 or Grok 3?
GPT-4o delivers faster first-token latency at 280ms TTFT (100 tok/s throughput) compared to 620ms TTFT (88 tok/s) for Grok 3.
How do GPT-4o and Grok 3 compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, GPT-4o scores 48% versus 65.8% for Grok 3. On GPQA Diamond graduate-level STEM reasoning, GPT-4o scores 53.6% versus 84.6% for Grok 3 (and 76.6% vs 89.8% on MATH-500).
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).
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).
