Gemini 2.5 Pro is 91.7% cheaper for input tokens ($1.25 vs. $15.00 per 1M tokens) and $10.00 vs. $60.00 for output tokens (12.0x cost advantage). In terms of operational performance, Gemini 2.5 Pro delivers lower response latency at 700ms TTFT (1900ms faster than o1) with 80 vs. 48 tok/s throughput. Gemini 2.5 Pro leads coding evaluations at 63.8% SWE-bench Verified vs. 48.9% for o1 and 74.0% vs. 78.0% 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
o1
Net Delta / Advantage
Input Cost / 1M Tokens
$1.25
$15.00
Gemini 2.5 Pro is 12.0x cheaper
Output Cost / 1M Tokens
$10.00
$60.00
Gemini 2.5 Pro (83.3% lower)
Prompt Cache Read / 1M
$0.313
$7.500
Gemini 2.5 Pro is 24.0x cheaper
Prompt Cache Write / 1M
$1.25
$15.00
Gemini 2.5 Pro is 12.0x 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
2600ms
Gemini 2.5 Pro (1900ms faster)
Generation Speed (Throughput)
80 tok/s
48 tok/s
Gemini 2.5 Pro (+32 tok/s faster)
SWE-bench Verified (Coding)
63.8%
48.9%
Gemini 2.5 Pro (+14.9% lead)
GPQA Diamond (PhD STEM)
74%
78%
o1 (+4.0% lead)
MMLU-Pro (Multi-Discipline)
85.2%
83.3%
Gemini 2.5 Pro (+1.9% lead)
MATH-500 (Quantitative Logic)
95%
96.4%
o1 (+1.4% lead)
Inference Value Score (IVR)
56.8 / 100
37.2 / 100
Gemini 2.5 Pro (+19.6 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 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 $15.00/1M input ($60.00/1M output) for o1.
Which model has lower TTFT latency and higher tok/s throughput: Gemini 2.5 Pro or o1?
Gemini 2.5 Pro delivers faster first-token latency at 700ms TTFT (80 tok/s throughput) compared to 2600ms TTFT (48 tok/s) for o1.
How do Gemini 2.5 Pro and o1 compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Gemini 2.5 Pro scores 63.8% versus 48.9% for o1. On GPQA Diamond graduate-level STEM reasoning, Gemini 2.5 Pro scores 74% versus 78% for o1 (and 95% vs 96.4% 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 o1?
Choose o1 (OpenAI) for legacy reasoning benchmarks, scientific literature review, and complex mathematical proofs — offering a 204k context window, 2600ms TTFT, and $15.00/1M input pricing ($7.500/1M cached reads).
