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-5 delivers lower response latency at 340ms TTFT (80ms faster than Gemini 3.1 Pro) with 105 vs. 98 tok/s throughput. GPT-5 leads coding evaluations at 74.9% SWE-bench Verified vs. 71.8% for Gemini 3.1 Pro and 85.4% vs. 82.4% 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-5
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
$0.625
Gemini 3.1 Pro is 2.0x 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)
410k (128k out)
Gemini 3.1 Pro (2.6x larger context)
Avg TTFT Response Latency
420ms
340ms
GPT-5 (80ms faster)
Generation Speed (Throughput)
98 tok/s
105 tok/s
GPT-5 (+7 tok/s faster)
SWE-bench Verified (Coding)
71.8%
74.9%
GPT-5 (+3.1% lead)
GPQA Diamond (PhD STEM)
82.4%
85.4%
GPT-5 (+3.0% lead)
MMLU-Pro (Multi-Discipline)
89.5%
90.8%
GPT-5 (+1.3% lead)
MATH-500 (Quantitative Logic)
96.8%
98%
GPT-5 (+1.2% lead)
Inference Value Score (IVR)
60 / 100
59.2 / 100
Gemini 3.1 Pro (+0.8 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-5.
Which model has lower TTFT latency and higher tok/s throughput: Gemini 3.1 Pro or GPT-5?
GPT-5 delivers faster first-token latency at 340ms TTFT (105 tok/s throughput) compared to 420ms TTFT (98 tok/s) for Gemini 3.1 Pro.
How do Gemini 3.1 Pro and GPT-5 compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Gemini 3.1 Pro scores 71.8% versus 74.9% for GPT-5. On GPQA Diamond graduate-level STEM reasoning, Gemini 3.1 Pro scores 82.4% versus 85.4% for GPT-5 (and 96.8% vs 98% 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-5?
Choose GPT-5 (OpenAI) for complex enterprise automation, full-stack software engineering, multimodal agent orchestration, and scientific synthesis — offering a 409k context window, 340ms TTFT, and $2.50/1M input pricing ($0.625/1M cached reads).
