💰 Unit Cost Winner GPT-4o Mini $0.15/1M in · $0.60/1M out
⚡ Latency & Speed Winner Gemini 2.5 Flash 110ms TTFT · 180 tok/s
💻 Coding (SWE) Winner Gemini 2.5 Flash 58% SWE-bench · 91.5% HumanEval
🧠 STEM Reasoning Winner Gemini 2.5 Flash 70.5% GPQA · 89% MATH-500

Which model is better: Gemini 2.5 Flash or GPT-4o Mini?

GPT-4o Mini is 50.0% cheaper for input tokens ($0.15 vs. $0.30 per 1M tokens) and $0.60 vs. $2.50 for output tokens (2.0x cost advantage). In terms of operational performance, Gemini 2.5 Flash delivers lower response latency at 110ms TTFT (110ms faster than GPT-4o Mini) with 180 vs. 140 tok/s throughput. Gemini 2.5 Flash leads coding evaluations at 58.0% SWE-bench Verified vs. 41.0% for GPT-4o Mini and 70.5% vs. 40.2% on GPQA Diamond.
Verified daily via automated API latency tests and official documentation.

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 Flash GPT-4o Mini Net Delta / Advantage
Input Cost / 1M Tokens $0.30 $0.15 GPT-4o Mini is 2.0x cheaper
Output Cost / 1M Tokens $2.50 $0.60 GPT-4o Mini (76.0% lower)
Prompt Cache Read / 1M $0.030 $0.075 Gemini 2.5 Flash is 2.5x cheaper
Prompt Cache Write / 1M $0.30 $0.15 GPT-4o Mini is 2.0x cheaper
Context Window (Max Output) 1,049k (66k out) 131k (16k out) Gemini 2.5 Flash (8.0x larger context)
Avg TTFT Response Latency 110ms 220ms Gemini 2.5 Flash (110ms faster)
Generation Speed (Throughput) 180 tok/s 140 tok/s Gemini 2.5 Flash (+40 tok/s faster)
SWE-bench Verified (Coding) 58% 41% Gemini 2.5 Flash (+17.0% lead)
GPQA Diamond (PhD STEM) 70.5% 40.2% Gemini 2.5 Flash (+30.3% lead)
MMLU-Pro (Multi-Discipline) 82% 68% Gemini 2.5 Flash (+14.0% lead)
MATH-500 (Quantitative Logic) 89% 70.2% Gemini 2.5 Flash (+18.8% lead)
Inference Value Score (IVR) 66.6 / 100 67.2 / 100 GPT-4o Mini (+0.6 pts)

Interactive Monthly Token Economics & ROI Forecaster

Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.

25.0M Tokens
500K 50M 250M 500M+
5.0M Tokens
100K 25M 75M 150M+
50% Cached
0% (Uncached) 25% 50% (Typical Agent) 95% Max

Estimated Monthly Spend

Gemini 2.5 Flash $16.63

$0.30/1M in · $2.50/1M out

Prompt Cache: $0.030/1M read · $0.30/1M write

GPT-4o Mini $5.81

$0.15/1M in · $0.60/1M out

Prompt Cache: $0.075/1M read · $0.15/1M write

Projected Monthly Cost Reduction
$10.81 / mo
(65.0% lower cost with GPT-4o Mini)
Open Full Matchup Analysis →
A

When to Choose Gemini 2.5 Flash

Choose Gemini 2.5 Flash (Google) for cost-efficient 1M-context summarization, multimodal extraction, and interactive assistants — offering a 1,048k context window, 110ms TTFT, and $0.30/1M input pricing ($0.030/1M cached reads).

B

When to 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).

Related Questions & Decision Factors

Which is cheaper: Gemini 2.5 Flash or GPT-4o Mini?

GPT-4o Mini is cheaper at $0.15/1M input tokens ($0.60/1M output) compared to $0.30/1M input ($2.50/1M output) for Gemini 2.5 Flash.

Which model has lower TTFT latency and higher tok/s throughput: Gemini 2.5 Flash or GPT-4o Mini?

Gemini 2.5 Flash delivers faster first-token latency at 110ms TTFT (180 tok/s throughput) compared to 220ms TTFT (140 tok/s) for GPT-4o Mini.

How do Gemini 2.5 Flash and GPT-4o Mini compare on SWE-bench coding and GPQA Diamond reasoning?

On SWE-bench Verified software engineering, Gemini 2.5 Flash scores 58% versus 41% for GPT-4o Mini. On GPQA Diamond graduate-level STEM reasoning, Gemini 2.5 Flash scores 70.5% versus 40.2% for GPT-4o Mini (and 89% vs 70.2% on MATH-500).

When should you choose Gemini 2.5 Flash?

Choose Gemini 2.5 Flash (Google) for cost-efficient 1M-context summarization, multimodal extraction, and interactive assistants — offering a 1,048k context window, 110ms TTFT, and $0.30/1M input pricing ($0.030/1M 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).

Explore High-Priority Related Model Matchups