Grok 3 is 80.0% cheaper for input tokens ($3.00 vs. $15.00 per 1M tokens) and $15.00 vs. $75.00 for output tokens (5.0x cost advantage). In terms of operational performance, Grok 3 delivers lower response latency at 620ms TTFT (300ms faster than Claude 4 Opus) with 88 vs. 46 tok/s throughput. Claude 4 Opus leads coding evaluations at 77.2% SWE-bench Verified vs. 65.8% for Grok 3 and 87.1% 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
Claude 4 Opus
Grok 3
Net Delta / Advantage
Input Cost / 1M Tokens
$15.00
$3.00
Grok 3 is 5.0x cheaper
Output Cost / 1M Tokens
$75.00
$15.00
Grok 3 (80.0% lower)
Prompt Cache Read / 1M
$1.500
$0.750
Grok 3 is 2.0x cheaper
Prompt Cache Write / 1M
$18.75
$3.00
Grok 3 is 6.3x cheaper
Context Window (Max Output)
205k (64k out)
134k (16k out)
Claude 4 Opus (1.5x larger context)
Avg TTFT Response Latency
920ms
620ms
Grok 3 (300ms faster)
Generation Speed (Throughput)
46 tok/s
88 tok/s
Grok 3 (+42 tok/s faster)
SWE-bench Verified (Coding)
77.2%
65.8%
Claude 4 Opus (+11.4% lead)
GPQA Diamond (PhD STEM)
87.1%
84.6%
Claude 4 Opus (+2.5% lead)
MMLU-Pro (Multi-Discipline)
91.8%
80%
Claude 4 Opus (+11.8% lead)
MATH-500 (Quantitative Logic)
98.1%
89.8%
Claude 4 Opus (+8.3% lead)
Inference Value Score (IVR)
43.6 / 100
52.7 / 100
Grok 3 (+9.1 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).
Grok 3 is cheaper at $3.00/1M input tokens ($15.00/1M 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 Grok 3?
Grok 3 delivers faster first-token latency at 620ms TTFT (88 tok/s throughput) compared to 920ms TTFT (46 tok/s) for Claude 4 Opus.
How do Claude 4 Opus and Grok 3 compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Claude 4 Opus scores 77.2% versus 65.8% for Grok 3. On GPQA Diamond graduate-level STEM reasoning, Claude 4 Opus scores 87.1% versus 84.6% for Grok 3 (and 98.1% vs 89.8% 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 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).
