Which model is better: Gemini 2.5 Pro or GPT-4o Mini?
GPT-4o Mini is 88.0% cheaper for input tokens ($0.15 vs. $1.25 per 1M tokens) and $0.60 vs. $10.00 for output tokens (8.3x cost advantage). In terms of operational performance, GPT-4o Mini delivers lower response latency at 220ms TTFT (480ms faster than Gemini 2.5 Pro) with 140 vs. 80 tok/s throughput. Gemini 2.5 Pro leads coding evaluations at 63.8% SWE-bench Verified vs. 41.0% for GPT-4o Mini and 74.0% vs. 40.2% 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 Mini
Net Delta / Advantage
Input Cost / 1M Tokens
$1.25
$0.15
GPT-4o Mini is 8.3x cheaper
Output Cost / 1M Tokens
$10.00
$0.60
GPT-4o Mini (94.0% lower)
Prompt Cache Read / 1M
$0.313
$0.075
GPT-4o Mini is 4.2x cheaper
Prompt Cache Write / 1M
$1.25
$0.15
GPT-4o Mini is 8.3x 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
220ms
GPT-4o Mini (480ms faster)
Generation Speed (Throughput)
80 tok/s
140 tok/s
GPT-4o Mini (+60 tok/s faster)
SWE-bench Verified (Coding)
63.8%
41%
Gemini 2.5 Pro (+22.8% lead)
GPQA Diamond (PhD STEM)
74%
40.2%
Gemini 2.5 Pro (+33.8% lead)
MMLU-Pro (Multi-Discipline)
85.2%
68%
Gemini 2.5 Pro (+17.2% lead)
MATH-500 (Quantitative Logic)
95%
70.2%
Gemini 2.5 Pro (+24.8% lead)
Inference Value Score (IVR)
56.8 / 100
67.2 / 100
GPT-4o Mini (+10.4 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).
GPT-4o Mini is cheaper at $0.15/1M input tokens ($0.60/1M output) compared to $1.25/1M input ($10.00/1M output) for Gemini 2.5 Pro.
Which model has lower TTFT latency and higher tok/s throughput: Gemini 2.5 Pro or GPT-4o Mini?
GPT-4o Mini delivers faster first-token latency at 220ms TTFT (140 tok/s throughput) compared to 700ms TTFT (80 tok/s) for Gemini 2.5 Pro.
How do Gemini 2.5 Pro and GPT-4o Mini compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Gemini 2.5 Pro scores 63.8% versus 41% for GPT-4o Mini. On GPQA Diamond graduate-level STEM reasoning, Gemini 2.5 Pro scores 74% versus 40.2% for GPT-4o Mini (and 95% vs 70.2% 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 Mini?
Choose GPT-4o Mini (OpenAI) for high-volume classification, lightweight RAG chatbots, and structured JSON extraction — offering a 131k context window, 220ms TTFT, and $0.15/1M input pricing ($0.075/1M cached reads).
