Grok 3 is 70.0% cheaper for input tokens ($3.00 vs. $10.00 per 1M tokens) and $15.00 vs. $50.00 for output tokens (3.3x cost advantage). In terms of operational performance, Grok 3 delivers lower response latency at 620ms TTFT (120ms faster than GPT-6 Astra) with 88 vs. 74 tok/s throughput. GPT-6 Astra leads coding evaluations at 75.7% SWE-bench Verified vs. 65.8% for Grok 3 and 96.0% 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-6 Astra
Grok 3
Net Delta / Advantage
Input Cost / 1M Tokens
$10.00
$3.00
Grok 3 is 3.3x cheaper
Output Cost / 1M Tokens
$50.00
$15.00
Grok 3 (70.0% lower)
Prompt Cache Read / 1M
$1.000
$0.750
Grok 3 is 1.3x cheaper
Prompt Cache Write / 1M
$12.50
$3.00
Grok 3 is 4.2x cheaper
Context Window (Max Output)
1,075k (128k out)
134k (16k out)
GPT-6 Astra (8.0x larger context)
Avg TTFT Response Latency
740ms
620ms
Grok 3 (120ms faster)
Generation Speed (Throughput)
74 tok/s
88 tok/s
Grok 3 (+14 tok/s faster)
SWE-bench Verified (Coding)
75.7%
65.8%
GPT-6 Astra (+9.9% lead)
GPQA Diamond (PhD STEM)
96%
84.6%
GPT-6 Astra (+11.4% lead)
MMLU-Pro (Multi-Discipline)
91.2%
80%
GPT-6 Astra (+11.2% lead)
MATH-500 (Quantitative Logic)
98%
89.8%
GPT-6 Astra (+8.2% 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).
Grok 3 is cheaper at $3.00/1M input tokens ($15.00/1M output) compared to $10.00/1M input ($50.00/1M output) for GPT-6 Astra.
Which model has lower TTFT latency and higher tok/s throughput: GPT-6 Astra or Grok 3?
Grok 3 delivers faster first-token latency at 620ms TTFT (88 tok/s throughput) compared to 740ms TTFT (74 tok/s) for GPT-6 Astra.
How do GPT-6 Astra and Grok 3 compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, GPT-6 Astra scores 75.7% versus 65.8% for Grok 3. On GPQA Diamond graduate-level STEM reasoning, GPT-6 Astra scores 96% versus 84.6% for Grok 3 (and 98% vs 89.8% on MATH-500).
When should you choose GPT-6 Astra?
Choose GPT-6 Astra (OpenAI) for high-autonomy flagship reasoning model engineered for end-to-end computer and browser use, advanced scientific research, and complex multi-turn software engineering — offering a 1,075k context window, 740ms TTFT, and $10.00/1M input pricing ($1.000/1M 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).
