Gemini 3.1 Pro is 58.3% cheaper for input tokens ($1.25 vs. $3.00 per 1M tokens) and $10.00 vs. $15.00 for output tokens (2.4x cost advantage). In terms of operational performance, Gemini 3.1 Pro delivers lower response latency at 420ms TTFT (200ms faster than Grok 3) with 98 vs. 88 tok/s throughput. Gemini 3.1 Pro leads coding evaluations at 71.8% SWE-bench Verified vs. 65.8% for Grok 3 and 82.4% 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
Gemini 3.1 Pro
Grok 3
Net Delta / Advantage
Input Cost / 1M Tokens
$1.25
$3.00
Gemini 3.1 Pro is 2.4x cheaper
Output Cost / 1M Tokens
$10.00
$15.00
Gemini 3.1 Pro (33.3% lower)
Prompt Cache Read / 1M
$0.310
$0.750
Gemini 3.1 Pro is 2.4x cheaper
Prompt Cache Write / 1M
$1.25
$3.00
Gemini 3.1 Pro is 2.4x cheaper
Context Window (Max Output)
1,049k (66k out)
134k (16k out)
Gemini 3.1 Pro (7.8x larger context)
Avg TTFT Response Latency
420ms
620ms
Gemini 3.1 Pro (200ms faster)
Generation Speed (Throughput)
98 tok/s
88 tok/s
Gemini 3.1 Pro (+10 tok/s faster)
SWE-bench Verified (Coding)
71.8%
65.8%
Gemini 3.1 Pro (+6.0% lead)
GPQA Diamond (PhD STEM)
82.4%
84.6%
Grok 3 (+2.2% lead)
MMLU-Pro (Multi-Discipline)
89.5%
80%
Gemini 3.1 Pro (+9.5% lead)
MATH-500 (Quantitative Logic)
96.8%
89.8%
Gemini 3.1 Pro (+7.0% lead)
Inference Value Score (IVR)
60 / 100
52.7 / 100
Gemini 3.1 Pro (+7.3 pts)
Interactive Monthly Token Economics & ROI Forecaster
Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.
Choose Gemini 3.1 Pro (Google) for complex enterprise architecture planning, multi-file code refactoring, legal/financial corpus auditing, and multimodal research — offering a 1,048k context window, 420ms TTFT, and $1.25/1M input pricing ($0.310/1M cached reads).
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).
Gemini 3.1 Pro is cheaper at $1.25/1M 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: Gemini 3.1 Pro or Grok 3?
Gemini 3.1 Pro delivers faster first-token latency at 420ms TTFT (98 tok/s throughput) compared to 620ms TTFT (88 tok/s) for Grok 3.
How do Gemini 3.1 Pro and Grok 3 compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Gemini 3.1 Pro scores 71.8% versus 65.8% for Grok 3. On GPQA Diamond graduate-level STEM reasoning, Gemini 3.1 Pro scores 82.4% versus 84.6% for Grok 3 (and 96.8% vs 89.8% on MATH-500).
When should you choose Gemini 3.1 Pro?
Choose Gemini 3.1 Pro (Google) for complex enterprise architecture planning, multi-file code refactoring, legal/financial corpus auditing, and multimodal research — offering a 1,048k context window, 420ms TTFT, and $1.25/1M input pricing ($0.310/1M 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).
