GPT-5.2 Mini wins on coding (78 vs 65). GPT-4o Mini wins on price ($0.15 vs $1.2/1M input). For most workflows, GPT-5.2 Mini is the stronger default — solid openai budget option, though gemini flash offers better value.
The safest GPT-5.2 Mini vs GPT-4o Mini default, the cheaper option worth trying first, and the specialist pick — before you read the detail below.
GPT-5.2 Mini is the strongest answer here for GPT-5.2 Mini vs GPT-4o Mini — pick it when quality of output matters more than the $1.20/1M/1M input you pay for it.
GPT-4o Mini handles the same job for about 88% less per token. Start here and only move up if the output is not good enough.
GPT-4o Mini is the fastest of these for GPT-5.2 Mini vs GPT-4o Mini — worth it when latency is what the reader notices, not the last few points of reasoning depth.
GPT-5.2 Mini leads on coding with a score of 78 vs 65 for GPT-4o Mini.
GPT-4o Mini is cheaper at $0.15/1M input tokens vs $1.2/1M for GPT-5.2 Mini.
GPT-5.2 Mini is the stronger default for coding tasks.
Choose GPT-5.2 Mini for budget technical workflows and high-volume product integrations. Its coding and budget scores are what carry the recommendation here.
Choose GPT-4o Mini when your work is mostly high-volume everyday tasks where GPT-4o quality is overkill — that is the workload it was tuned for.
GPT-4o Mini is the more cost-efficient option at $0.15/1M input — GPT-5.2 Mini costs 8x more per input token, so the gap is worth taking seriously wherever token volume rather than peak quality drives the bill.
Switch the scoring lens to see whether the GPT-5.2 Mini vs GPT-4o Mini answer changes when cost, speed, or long-document depth leads the decision.
OpenAI / Balanced / Mar 24, 2026
Solid OpenAI budget option, though Gemini Flash offers better value.
Ranks models by the broadest mix of coding, writing, research, and long-context usefulness.
Cost is your primary concern — Gemini 3.1 Flash offers more for less.
Where the GPT-5.2 Mini vs GPT-4o Mini recommendation shifts once you weigh price or latency differently.
Solid OpenAI budget option, though Gemini Flash offers better value.
OpenAI's fastest, cheapest option for everyday high-volume tasks.
List prices and published scores — the numbers this page's pick is built from.
| Model | Input | Output | Est. month | Context | Speed | Coding | Writing | Research |
|---|---|---|---|---|---|---|---|---|
| GPT-5.2 MiniOpenAI | $1.20/1M | $4.80/1M | $22 | 128k tokens | Fast | 78 | 72 | 68 |
| GPT-4o MiniOpenAI | $0.15/1M | $0.60/1M | $2.70 | 128k tokens | Very fast | 65 | 76 | 62 |
Scores out of 100 — how we evaluate models. “Est. month” is 10M in / 2M out at list price: a ceiling, no discounts.
Why each one is on the shortlist for GPT-5.2 Mini vs GPT-4o Mini, what it is genuinely good at, and where we would steer you away from it.
Our pick for GPT-5.2 Mini vs GPT-4o Mini. It scores 78/100 on the coding axis we weight this page by, and nothing else in this shortlist matches it on output quality.
Lower-cost OpenAI model that keeps a solid balance of usefulness, speed, and affordability for everyday tasks.
Cost is your primary concern — Gemini 3.1 Flash offers more for less.
A decent budget OpenAI pick, but Gemini 3.1 Flash undercuts it on price with a larger context window.
Full pricing, benchmark table and release notes on the GPT-5.2 Mini page.
Where most budgets should land for GPT-5.2 Mini vs GPT-4o Mini — about 88% less per token than GPT-5.2 Mini, and still 65/100 on the coding axis.
OpenAI's most affordable production-grade model — faster and cheaper than GPT-4o with strong enough performance for the majority of everyday tasks.
You need strong reasoning or coding — GPT-5.2 Mini or DeepSeek V3 are better at similar or lower cost.
The go-to when you need OpenAI reliability at budget pricing for high-volume, lower-stakes tasks.
Full pricing, benchmark table and release notes on the GPT-4o Mini page.
UseRightAI recommendations are based on practical decision factors people actually feel in day-to-day use.
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GPT-5.2 Mini wins on more of the categories we score — coding, budget, writing — so it is the better default of the two. GPT-4o Mini is the better pick when your work is mostly high-volume everyday tasks where GPT-4o quality is overkill. Neither is universally "better": GPT-5.2 Mini is aimed at budget technical workflows and high-volume product integrations, GPT-4o Mini at high-volume everyday tasks where GPT-4o quality is overkill.
GPT-4o Mini is cheaper at $0.15/1M input and $0.6/1M output. GPT-5.2 Mini costs $1.2/1M input and $4.8/1M output.
Both GPT-5.2 Mini and GPT-4o Mini have the same 128K context window.
GPT-5.2 Mini is better for coding with a score of 78 vs GPT-4o Mini's 65 (out of 100). GPT-6 Astra is the overall coding leader in this directory at 100/100.
GPT-4o Mini is faster with a very fast speed rating (score: 5) vs GPT-5.2 Mini's fast rating (score: 4). Speed matters most for interactive and high-throughput work; for batch jobs the GPT-5.2 Mini latency penalty is usually invisible.
Weaker on nuanced reasoning than premium models. Gemini 3.1 Flash is now cheaper with a larger context window. Avoid it if cost is your primary concern — Gemini 3.1 Flash offers more for less. That is the main case for looking at GPT-4o Mini instead.
Noticeably weaker than GPT-5.2 Mini on complex reasoning and multi-step tasks. Not suitable for hard coding challenges or deep document research. DeepSeek V3 now offers better coding quality at comparable pricing. Avoid it if you need strong reasoning or coding — GPT-5.2 Mini or DeepSeek V3 are better at similar or lower cost. Against GPT-5.2 Mini specifically, the gap shows up most on coding (78 vs 65).
Take a moderate workload of 10M input and 2M output tokens a month. GPT-5.2 Mini runs $21.60 (at $1.2/1M in and $4.8/1M out); GPT-4o Mini runs $2.70 (at $0.15/1M in and $0.6/1M out). That is a $18.90/month difference — GPT-4o Mini is the cheaper of the two at this volume, and the gap scales linearly as you send more. Output tokens dominate the bill on both, so prompt length matters far less than response length.
Yes, and for most teams that beats picking one. A common split is GPT-5.2 Mini for budget technical workflows and high-volume product integrations, with GPT-4o Mini handling high-volume everyday tasks where GPT-4o quality is overkill. Routing high-volume, low-stakes calls to GPT-4o Mini at $0.15/1M and reserving GPT-5.2 Mini for the hard cases is usually the cheapest arrangement that does not cost you quality.