GPT-5 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-5 delivers lower response latency at 340ms TTFT (280ms faster than Grok 3) with 105 vs. 88 tok/s throughput. GPT-5 leads coding evaluations at 74.9% SWE-bench Verified vs. 65.8% for Grok 3 and 85.4% 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
GPT-5
Grok 3
Net Delta / Advantage
Input Cost / 1M Tokens
$2.50
$3.00
GPT-5 is 1.2x cheaper
Output Cost / 1M Tokens
$10.00
$15.00
GPT-5 (33.3% lower)
Prompt Cache Read / 1M
$0.625
$0.750
GPT-5 is 1.2x cheaper
Prompt Cache Write / 1M
$2.50
$3.00
GPT-5 is 1.2x cheaper
Context Window (Max Output)
410k (128k out)
134k (16k out)
GPT-5 (3.1x larger context)
Avg TTFT Response Latency
340ms
620ms
GPT-5 (280ms faster)
Generation Speed (Throughput)
105 tok/s
88 tok/s
GPT-5 (+17 tok/s faster)
SWE-bench Verified (Coding)
74.9%
65.8%
GPT-5 (+9.1% lead)
GPQA Diamond (PhD STEM)
85.4%
84.6%
GPT-5 (+0.8% lead)
MMLU-Pro (Multi-Discipline)
90.8%
80%
GPT-5 (+10.8% lead)
MATH-500 (Quantitative Logic)
98%
89.8%
GPT-5 (+8.2% lead)
Inference Value Score (IVR)
59.2 / 100
52.7 / 100
GPT-5 (+6.5 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-5 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-5 or Grok 3?
GPT-5 delivers faster first-token latency at 340ms TTFT (105 tok/s throughput) compared to 620ms TTFT (88 tok/s) for Grok 3.
How do GPT-5 and Grok 3 compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, GPT-5 scores 74.9% versus 65.8% for Grok 3. On GPQA Diamond graduate-level STEM reasoning, GPT-5 scores 85.4% versus 84.6% for Grok 3 (and 98% vs 89.8% on MATH-500).
When should you choose GPT-5?
Choose GPT-5 (OpenAI) for complex enterprise automation, full-stack software engineering, multimodal agent orchestration, and scientific synthesis — offering a 409k context window, 340ms TTFT, and $2.50/1M input pricing ($0.625/1M 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).
