Which model is better: Gemini 2.5 Pro or OpenAI o4-mini?
OpenAI o4-mini is 12.0% cheaper for input tokens ($1.10 vs. $1.25 per 1M tokens) and $4.40 vs. $10.00 for output tokens (1.1x cost advantage). In terms of operational performance, OpenAI o4-mini delivers lower response latency at 680ms TTFT (20ms faster than Gemini 2.5 Pro) with 125 vs. 80 tok/s throughput. OpenAI o4-mini leads coding evaluations at 68.1% SWE-bench Verified vs. 63.8% for Gemini 2.5 Pro and 81.4% 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 o4-mini
Net Delta / Advantage
Input Cost / 1M Tokens
$1.25
$1.10
OpenAI o4-mini is 1.1x cheaper
Output Cost / 1M Tokens
$10.00
$4.40
OpenAI o4-mini (56.0% lower)
Prompt Cache Read / 1M
$0.313
$0.275
OpenAI o4-mini is 1.1x cheaper
Prompt Cache Write / 1M
$1.25
$1.10
OpenAI o4-mini is 1.1x 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
680ms
OpenAI o4-mini (20ms faster)
Generation Speed (Throughput)
80 tok/s
125 tok/s
OpenAI o4-mini (+45 tok/s faster)
SWE-bench Verified (Coding)
63.8%
68.1%
OpenAI o4-mini (+4.3% lead)
GPQA Diamond (PhD STEM)
74%
81.4%
OpenAI o4-mini (+7.4% lead)
MMLU-Pro (Multi-Discipline)
85.2%
85.6%
OpenAI o4-mini (+0.4% lead)
MATH-500 (Quantitative Logic)
95%
97.8%
OpenAI o4-mini (+2.8% lead)
Inference Value Score (IVR)
56.8 / 100
63.7 / 100
OpenAI o4-mini (+6.9 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).
Which is cheaper: Gemini 2.5 Pro or OpenAI o4-mini?
OpenAI o4-mini is cheaper at $1.10/1M input tokens ($4.40/1M 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 OpenAI o4-mini?
OpenAI o4-mini delivers faster first-token latency at 680ms TTFT (125 tok/s throughput) compared to 700ms TTFT (80 tok/s) for Gemini 2.5 Pro.
How do Gemini 2.5 Pro and OpenAI o4-mini compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Gemini 2.5 Pro scores 63.8% versus 68.1% for OpenAI o4-mini. On GPQA Diamond graduate-level STEM reasoning, Gemini 2.5 Pro scores 74% versus 81.4% for OpenAI o4-mini (and 95% vs 97.8% 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 o4-mini?
Choose OpenAI o4-mini (OpenAI) for automated PR review, high-volume agentic coding loops, SQL/data analysis, and visual document reasoning — offering a 204k context window, 680ms TTFT, and $1.10/1M input pricing ($0.275/1M cached reads).
