Gemini 3.1 Pro is 50.0% cheaper for input tokens ($1.25 vs. $2.50 per 1M tokens) and $10.00 vs. $10.00 for output tokens (2.0x cost advantage). In terms of operational performance, GPT-4o delivers lower response latency at 280ms TTFT (140ms faster than Gemini 3.1 Pro) with 100 vs. 98 tok/s throughput. Gemini 3.1 Pro leads coding evaluations at 71.8% SWE-bench Verified vs. 48.0% for GPT-4o and 82.4% vs. 53.6% 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
GPT-4o
Net Delta / Advantage
Input Cost / 1M Tokens
$1.25
$2.50
Gemini 3.1 Pro is 2.0x cheaper
Output Cost / 1M Tokens
$10.00
$10.00
Identical Output Pricing
Prompt Cache Read / 1M
$0.310
$1.250
Gemini 3.1 Pro is 4.0x cheaper
Prompt Cache Write / 1M
$1.25
$2.50
Gemini 3.1 Pro is 2.0x 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
280ms
GPT-4o (140ms faster)
Generation Speed (Throughput)
98 tok/s
100 tok/s
GPT-4o (+2 tok/s faster)
SWE-bench Verified (Coding)
71.8%
48%
Gemini 3.1 Pro (+23.8% lead)
GPQA Diamond (PhD STEM)
82.4%
53.6%
Gemini 3.1 Pro (+28.8% lead)
MMLU-Pro (Multi-Discipline)
89.5%
75.9%
Gemini 3.1 Pro (+13.6% lead)
MATH-500 (Quantitative Logic)
96.8%
76.6%
Gemini 3.1 Pro (+20.2% lead)
Inference Value Score (IVR)
60 / 100
47.6 / 100
Gemini 3.1 Pro (+12.4 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).
Gemini 3.1 Pro is cheaper at $1.25/1M input tokens ($10.00/1M output) compared to $2.50/1M input ($10.00/1M output) for GPT-4o.
Which model has lower TTFT latency and higher tok/s throughput: Gemini 3.1 Pro or GPT-4o?
GPT-4o delivers faster first-token latency at 280ms TTFT (100 tok/s throughput) compared to 420ms TTFT (98 tok/s) for Gemini 3.1 Pro.
How do Gemini 3.1 Pro and GPT-4o compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Gemini 3.1 Pro scores 71.8% versus 48% for GPT-4o. On GPQA Diamond graduate-level STEM reasoning, Gemini 3.1 Pro scores 82.4% versus 53.6% for GPT-4o (and 96.8% vs 76.6% 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?
Choose GPT-4o (OpenAI) for general enterprise assistants, multimodal customer support, and structured JSON output pipelines — offering a 131k context window, 280ms TTFT, and $2.50/1M input pricing ($1.250/1M cached reads).
