Which model is better: Gemini 3.1 Pro or OpenAI o3?
Gemini 3.1 Pro is 37.5% cheaper for input tokens ($1.25 vs. $2.00 per 1M tokens) and $10.00 vs. $8.00 for output tokens (1.6x cost advantage). In terms of operational performance, Gemini 3.1 Pro delivers lower response latency at 420ms TTFT (730ms faster than OpenAI o3) with 98 vs. 82 tok/s throughput. Gemini 3.1 Pro leads coding evaluations at 71.8% SWE-bench Verified vs. 71.7% for OpenAI o3 and 82.4% vs. 87.7% 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
OpenAI o3
Net Delta / Advantage
Input Cost / 1M Tokens
$1.25
$2.00
Gemini 3.1 Pro is 1.6x cheaper
Output Cost / 1M Tokens
$10.00
$8.00
OpenAI o3 (20.0% lower)
Prompt Cache Read / 1M
$0.310
$0.500
Gemini 3.1 Pro is 1.6x cheaper
Prompt Cache Write / 1M
$1.25
$2.00
Gemini 3.1 Pro is 1.6x cheaper
Context Window (Max Output)
1,049k (66k out)
205k (100k out)
Gemini 3.1 Pro (5.1x larger context)
Avg TTFT Response Latency
420ms
1150ms
Gemini 3.1 Pro (730ms faster)
Generation Speed (Throughput)
98 tok/s
82 tok/s
Gemini 3.1 Pro (+16 tok/s faster)
SWE-bench Verified (Coding)
71.8%
71.7%
Gemini 3.1 Pro (+0.1% lead)
GPQA Diamond (PhD STEM)
82.4%
87.7%
OpenAI o3 (+5.3% lead)
MMLU-Pro (Multi-Discipline)
89.5%
89.8%
OpenAI o3 (+0.3% lead)
MATH-500 (Quantitative Logic)
96.8%
98.6%
OpenAI o3 (+1.8% lead)
Inference Value Score (IVR)
60 / 100
60.6 / 100
OpenAI o3 (+0.6 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 $2.00/1M input ($8.00/1M output) for OpenAI o3.
Which model has lower TTFT latency and higher tok/s throughput: Gemini 3.1 Pro or OpenAI o3?
Gemini 3.1 Pro delivers faster first-token latency at 420ms TTFT (98 tok/s throughput) compared to 1150ms TTFT (82 tok/s) for OpenAI o3.
How do Gemini 3.1 Pro and OpenAI o3 compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Gemini 3.1 Pro scores 71.8% versus 71.7% for OpenAI o3. On GPQA Diamond graduate-level STEM reasoning, Gemini 3.1 Pro scores 82.4% versus 87.7% for OpenAI o3 (and 96.8% vs 98.6% 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 OpenAI o3?
Choose OpenAI o3 (OpenAI) for algorithmic synthesis, mathematical verification, PhD-level scientific research, and multi-step tool planning — offering a 204k context window, 1150ms TTFT, and $2.00/1M input pricing ($0.500/1M cached reads).
