OpenAI o3 is 33.3% cheaper for input tokens ($2.00 vs. $3.00 per 1M tokens) and $8.00 vs. $15.00 for output tokens (1.5x cost advantage). In terms of operational performance, Grok 3 delivers lower response latency at 620ms TTFT (530ms faster than OpenAI o3) with 88 vs. 82 tok/s throughput. OpenAI o3 leads coding evaluations at 71.7% SWE-bench Verified vs. 65.8% for Grok 3 and 87.7% vs. 84.6% 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
Grok 3
OpenAI o3
Net Delta / Advantage
Input Cost / 1M Tokens
$3.00
$2.00
OpenAI o3 is 1.5x cheaper
Output Cost / 1M Tokens
$15.00
$8.00
OpenAI o3 (46.7% lower)
Prompt Cache Read / 1M
$0.750
$0.500
OpenAI o3 is 1.5x cheaper
Prompt Cache Write / 1M
$3.00
$2.00
OpenAI o3 is 1.5x cheaper
Context Window (Max Output)
134k (16k out)
205k (100k out)
OpenAI o3 (1.5x larger context)
Avg TTFT Response Latency
620ms
1150ms
Grok 3 (530ms faster)
Generation Speed (Throughput)
88 tok/s
82 tok/s
Grok 3 (+6 tok/s faster)
SWE-bench Verified (Coding)
65.8%
71.7%
OpenAI o3 (+5.9% lead)
GPQA Diamond (PhD STEM)
84.6%
87.7%
OpenAI o3 (+3.1% lead)
MMLU-Pro (Multi-Discipline)
80%
89.8%
OpenAI o3 (+9.8% lead)
MATH-500 (Quantitative Logic)
89.8%
98.6%
OpenAI o3 (+8.8% lead)
Inference Value Score (IVR)
52.7 / 100
60.6 / 100
OpenAI o3 (+7.9 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).
OpenAI o3 is cheaper at $2.00/1M input tokens ($8.00/1M 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: Grok 3 or OpenAI o3?
Grok 3 delivers faster first-token latency at 620ms TTFT (88 tok/s throughput) compared to 1150ms TTFT (82 tok/s) for OpenAI o3.
How do Grok 3 and OpenAI o3 compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Grok 3 scores 65.8% versus 71.7% for OpenAI o3. On GPQA Diamond graduate-level STEM reasoning, Grok 3 scores 84.6% versus 87.7% for OpenAI o3 (and 89.8% vs 98.6% on MATH-500).
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).
When should you choose OpenAI o3?
Choose OpenAI o3 (OpenAI) for algorithmic synthesis, mathematical verification, PhD-level scientific research, and multi-step tool planning — offering a 204k context window, 1150ms TTFT, and $2.00/1M input pricing ($0.500/1M cached reads).
