Gemini 2.5 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 (420ms faster than Gemini 2.5 Pro) with 100 vs. 80 tok/s throughput. Gemini 2.5 Pro leads coding evaluations at 63.8% SWE-bench Verified vs. 48.0% for GPT-4o and 74.0% 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 2.5 Pro
GPT-4o
Net Delta / Advantage
Input Cost / 1M Tokens
$1.25
$2.50
Gemini 2.5 Pro is 2.0x cheaper
Output Cost / 1M Tokens
$10.00
$10.00
Identical Output Pricing
Prompt Cache Read / 1M
$0.313
$1.250
Gemini 2.5 Pro is 4.0x cheaper
Prompt Cache Write / 1M
$1.25
$2.50
Gemini 2.5 Pro is 2.0x cheaper
Context Window (Max Output)
1,024k (66k out)
131k (16k out)
Gemini 2.5 Pro (7.8x larger context)
Avg TTFT Response Latency
700ms
280ms
GPT-4o (420ms faster)
Generation Speed (Throughput)
80 tok/s
100 tok/s
GPT-4o (+20 tok/s faster)
SWE-bench Verified (Coding)
63.8%
48%
Gemini 2.5 Pro (+15.8% lead)
GPQA Diamond (PhD STEM)
74%
53.6%
Gemini 2.5 Pro (+20.4% lead)
MMLU-Pro (Multi-Discipline)
85.2%
75.9%
Gemini 2.5 Pro (+9.3% lead)
MATH-500 (Quantitative Logic)
95%
76.6%
Gemini 2.5 Pro (+18.4% lead)
Inference Value Score (IVR)
56.8 / 100
47.6 / 100
Gemini 2.5 Pro (+9.2 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 $2.50/1M input ($10.00/1M output) for GPT-4o.
Which model has lower TTFT latency and higher tok/s throughput: Gemini 2.5 Pro or GPT-4o?
GPT-4o delivers faster first-token latency at 280ms TTFT (100 tok/s throughput) compared to 700ms TTFT (80 tok/s) for Gemini 2.5 Pro.
How do Gemini 2.5 Pro and GPT-4o compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Gemini 2.5 Pro scores 63.8% versus 48% for GPT-4o. On GPQA Diamond graduate-level STEM reasoning, Gemini 2.5 Pro scores 74% versus 53.6% for GPT-4o (and 95% vs 76.6% 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 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).
