Which model is better: Gemini 2.5 Pro or OpenAI o3?
Gemini 2.5 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 2.5 Pro delivers lower response latency at 700ms TTFT (450ms faster than OpenAI o3) with 80 vs. 82 tok/s throughput. OpenAI o3 leads coding evaluations at 71.7% SWE-bench Verified vs. 63.8% for Gemini 2.5 Pro and 87.7% vs. 74.0% 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 2.5 Pro
OpenAI o3
Net Delta / Advantage
Input Cost / 1M Tokens
$1.25
$2.00
Gemini 2.5 Pro is 1.6x cheaper
Output Cost / 1M Tokens
$10.00
$8.00
OpenAI o3 (20.0% lower)
Prompt Cache Read / 1M
$0.313
$0.500
Gemini 2.5 Pro is 1.6x cheaper
Prompt Cache Write / 1M
$1.25
$2.00
Gemini 2.5 Pro is 1.6x cheaper
Context Window (Max Output)
1,024k (66k out)
205k (100k out)
Gemini 2.5 Pro (5.0x larger context)
Avg TTFT Response Latency
700ms
1150ms
Gemini 2.5 Pro (450ms faster)
Generation Speed (Throughput)
80 tok/s
82 tok/s
OpenAI o3 (+2 tok/s faster)
SWE-bench Verified (Coding)
63.8%
71.7%
OpenAI o3 (+7.9% lead)
GPQA Diamond (PhD STEM)
74%
87.7%
OpenAI o3 (+13.7% lead)
MMLU-Pro (Multi-Discipline)
85.2%
89.8%
OpenAI o3 (+4.6% lead)
MATH-500 (Quantitative Logic)
95%
98.6%
OpenAI o3 (+3.6% lead)
Inference Value Score (IVR)
56.8 / 100
60.6 / 100
OpenAI o3 (+3.8 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 2.5 Pro (Google) for long-context document and video analysis, large codebase ingestion, and multimodal reasoning — offering a 1,024k context window, 700ms TTFT, and $1.25/1M input pricing ($0.312/1M cached reads).
Gemini 2.5 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 2.5 Pro or OpenAI o3?
Gemini 2.5 Pro delivers faster first-token latency at 700ms TTFT (80 tok/s throughput) compared to 1150ms TTFT (82 tok/s) for OpenAI o3.
How do Gemini 2.5 Pro and OpenAI o3 compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Gemini 2.5 Pro scores 63.8% versus 71.7% for OpenAI o3. On GPQA Diamond graduate-level STEM reasoning, Gemini 2.5 Pro scores 74% versus 87.7% for OpenAI o3 (and 95% vs 98.6% on MATH-500).
When should you choose Gemini 2.5 Pro?
Choose Gemini 2.5 Pro (Google) for long-context document and video analysis, large codebase ingestion, and multimodal reasoning — offering a 1,024k context window, 700ms TTFT, and $1.25/1M input pricing ($0.312/1M 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).
