Which model is better: Gemini 3.1 Pro or Grok 3 Mini?
Grok 3 Mini is 76.0% cheaper for input tokens ($0.30 vs. $1.25 per 1M tokens) and $1.20 vs. $10.00 for output tokens (4.2x cost advantage). In terms of operational performance, Grok 3 Mini delivers lower response latency at 150ms TTFT (270ms faster than Gemini 3.1 Pro) with 160 vs. 98 tok/s throughput. Gemini 3.1 Pro leads coding evaluations at 71.8% SWE-bench Verified vs. 54.0% for Grok 3 Mini and 82.4% vs. 68.0% 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 Mini
Net Delta / Advantage
Input Cost / 1M Tokens
$1.25
$0.30
Grok 3 Mini is 4.2x cheaper
Output Cost / 1M Tokens
$10.00
$1.20
Grok 3 Mini (88.0% lower)
Prompt Cache Read / 1M
$0.310
$0.080
Grok 3 Mini is 3.9x cheaper
Prompt Cache Write / 1M
$1.25
$0.30
Grok 3 Mini is 4.2x cheaper
Context Window (Max Output)
1,049k (66k out)
131k (16k out)
Gemini 3.1 Pro (8.0x larger context)
Avg TTFT Response Latency
420ms
150ms
Grok 3 Mini (270ms faster)
Generation Speed (Throughput)
98 tok/s
160 tok/s
Grok 3 Mini (+62 tok/s faster)
SWE-bench Verified (Coding)
71.8%
54%
Gemini 3.1 Pro (+17.8% lead)
GPQA Diamond (PhD STEM)
82.4%
68%
Gemini 3.1 Pro (+14.4% lead)
MMLU-Pro (Multi-Discipline)
89.5%
80%
Gemini 3.1 Pro (+9.5% lead)
MATH-500 (Quantitative Logic)
96.8%
87%
Gemini 3.1 Pro (+9.8% lead)
Inference Value Score (IVR)
60 / 100
69.2 / 100
Grok 3 Mini (+9.2 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 Mini (xAI) for high-speed reasoning model providing rapid answers and code generation with chain-of-thought capabilities at edge pricing — offering a 131k context window, 150ms TTFT, and $0.30/1M input pricing ($0.080/1M cached reads).
Grok 3 Mini is cheaper at $0.30/1M input tokens ($1.20/1M output) compared to $1.25/1M input ($10.00/1M output) for Gemini 3.1 Pro.
Which model has lower TTFT latency and higher tok/s throughput: Gemini 3.1 Pro or Grok 3 Mini?
Grok 3 Mini delivers faster first-token latency at 150ms TTFT (160 tok/s throughput) compared to 420ms TTFT (98 tok/s) for Gemini 3.1 Pro.
How do Gemini 3.1 Pro and Grok 3 Mini compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Gemini 3.1 Pro scores 71.8% versus 54% for Grok 3 Mini. On GPQA Diamond graduate-level STEM reasoning, Gemini 3.1 Pro scores 82.4% versus 68% for Grok 3 Mini (and 96.8% vs 87% 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 Mini?
Choose Grok 3 Mini (xAI) for high-speed reasoning model providing rapid answers and code generation with chain-of-thought capabilities at edge pricing — offering a 131k context window, 150ms TTFT, and $0.30/1M input pricing ($0.080/1M cached reads).
