💰 Unit Cost Winner GPT-4o Mini $0.15/1M in · $0.60/1M out
⚡ Latency & Speed Winner GPT-4o Mini 220ms TTFT · 140 tok/s
💻 Coding (SWE) Winner GPT-4o 48% SWE-bench · 90.2% HumanEval
🧠 STEM Reasoning Winner GPT-4o 53.6% GPQA · 76.6% MATH-500

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

GPT-4o Mini is 94.0% cheaper for input tokens ($0.15 vs. $2.50 per 1M tokens) and $0.60 vs. $10.00 for output tokens (16.7x cost advantage). In terms of operational performance, GPT-4o Mini delivers lower response latency at 220ms TTFT (60ms faster than GPT-4o) with 140 vs. 100 tok/s throughput. GPT-4o leads coding evaluations at 48.0% SWE-bench Verified vs. 41.0% for GPT-4o Mini and 53.6% 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 GPT-4o GPT-4o Mini Net Delta / Advantage
Input Cost / 1M Tokens $2.50 $0.15 GPT-4o Mini is 16.7x cheaper
Output Cost / 1M Tokens $10.00 $0.60 GPT-4o Mini (94.0% lower)
Prompt Cache Read / 1M $1.250 $0.075 GPT-4o Mini is 16.7x cheaper
Prompt Cache Write / 1M $2.50 $0.15 GPT-4o Mini is 16.7x cheaper
Context Window (Max Output) 131k (16k out) 131k (16k out) Equal Context Window
Avg TTFT Response Latency 280ms 220ms GPT-4o Mini (60ms faster)
Generation Speed (Throughput) 100 tok/s 140 tok/s GPT-4o Mini (+40 tok/s faster)
SWE-bench Verified (Coding) 48% 41% GPT-4o (+7.0% lead)
GPQA Diamond (PhD STEM) 53.6% 40.2% GPT-4o (+13.4% lead)
MMLU-Pro (Multi-Discipline) 75.9% 68% GPT-4o (+7.9% lead)
MATH-500 (Quantitative Logic) 76.6% 70.2% GPT-4o (+6.4% lead)
Inference Value Score (IVR) 47.6 / 100 67.2 / 100 GPT-4o Mini (+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.

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

GPT-4o $96.88

$2.50/1M in · $10.00/1M out

Prompt Cache: $1.250/1M read · $2.50/1M 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
$91.06 / mo
(94.0% lower cost with GPT-4o Mini)
Open Full Matchup Analysis →
A

When to 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).

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: GPT-4o or GPT-4o Mini?

GPT-4o Mini is cheaper at $0.15/1M input tokens ($0.60/1M 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: GPT-4o or GPT-4o Mini?

GPT-4o Mini delivers faster first-token latency at 220ms TTFT (140 tok/s throughput) compared to 280ms TTFT (100 tok/s) for GPT-4o.

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

On SWE-bench Verified software engineering, GPT-4o scores 48% versus 41% for GPT-4o Mini. On GPQA Diamond graduate-level STEM reasoning, GPT-4o scores 53.6% versus 40.2% for GPT-4o Mini (and 76.6% vs 70.2% on MATH-500).

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).

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