Which model is better: Gemini 3.1 Pro or GPT-4o Mini?
GPT-4o Mini is 88.0% cheaper for input tokens ($0.15 vs. $1.25 per 1M tokens) and $0.60 vs. $10.00 for output tokens (8.3x cost advantage). In terms of operational performance, GPT-4o Mini delivers lower response latency at 220ms TTFT (200ms faster than Gemini 3.1 Pro) with 140 vs. 98 tok/s throughput. Gemini 3.1 Pro leads coding evaluations at 71.8% SWE-bench Verified vs. 41.0% for GPT-4o Mini and 82.4% vs. 40.2% 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
GPT-4o Mini
Net Delta / Advantage
Input Cost / 1M Tokens
$1.25
$0.15
GPT-4o Mini is 8.3x cheaper
Output Cost / 1M Tokens
$10.00
$0.60
GPT-4o Mini (94.0% lower)
Prompt Cache Read / 1M
$0.310
$0.075
GPT-4o Mini is 4.1x cheaper
Prompt Cache Write / 1M
$1.25
$0.15
GPT-4o Mini is 8.3x 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
220ms
GPT-4o Mini (200ms faster)
Generation Speed (Throughput)
98 tok/s
140 tok/s
GPT-4o Mini (+42 tok/s faster)
SWE-bench Verified (Coding)
71.8%
41%
Gemini 3.1 Pro (+30.8% lead)
GPQA Diamond (PhD STEM)
82.4%
40.2%
Gemini 3.1 Pro (+42.2% lead)
MMLU-Pro (Multi-Discipline)
89.5%
68%
Gemini 3.1 Pro (+21.5% lead)
MATH-500 (Quantitative Logic)
96.8%
70.2%
Gemini 3.1 Pro (+26.6% lead)
Inference Value Score (IVR)
60 / 100
67.2 / 100
GPT-4o Mini (+7.2 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).
GPT-4o Mini is cheaper at $0.15/1M input tokens ($0.60/1M 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 GPT-4o Mini?
GPT-4o Mini delivers faster first-token latency at 220ms TTFT (140 tok/s throughput) compared to 420ms TTFT (98 tok/s) for Gemini 3.1 Pro.
How do Gemini 3.1 Pro and GPT-4o Mini compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Gemini 3.1 Pro scores 71.8% versus 41% for GPT-4o Mini. On GPQA Diamond graduate-level STEM reasoning, Gemini 3.1 Pro scores 82.4% versus 40.2% for GPT-4o Mini (and 96.8% vs 70.2% 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 GPT-4o Mini?
Choose GPT-4o Mini (OpenAI) for high-volume classification, lightweight RAG chatbots, and structured JSON extraction — offering a 131k context window, 220ms TTFT, and $0.15/1M input pricing ($0.075/1M cached reads).
