GPT-5.2 Mini wins on coding (78 vs 58) and price ($1.2 vs $2.5/1M input). For most workflows, GPT-4o is the stronger default — best all-around pick for image-heavy and multimodal workflows.
The safest GPT-4o vs GPT-5.2 Mini default, the cheaper option worth trying first, and the specialist pick — before you read the detail below.
GPT-4o is the strongest answer here for GPT-4o vs GPT-5.2 Mini — pick it when quality of output matters more than the $2.50/1M/1M input you pay for it.
GPT-5.2 Mini handles the same job for about 52% less per token. Start here and only move up if the output is not good enough.
GPT-4o is the fastest of these for GPT-4o vs GPT-5.2 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 58 for GPT-4o.
GPT-5.2 Mini is cheaper at $1.2/1M input tokens vs $2.5/1M for GPT-4o.
GPT-4o is the stronger default for images tasks.
GPT-4o is the safer default: it is built for multimodal tasks and image-adjacent workflows, which covers most of what people bring to this comparison.
Switch to GPT-5.2 Mini when your work is mostly budget technical workflows and high-volume product integrations; on that narrower brief it is the better tool.
GPT-5.2 Mini is the more cost-efficient option at $1.2/1M input — GPT-4o costs 2x 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-4o vs GPT-5.2 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-4o vs GPT-5.2 Mini recommendation shifts once you weigh price or latency differently.
Best all-around pick for image-heavy and multimodal workflows.
Solid OpenAI budget option, though Gemini Flash offers better value.
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-4oOpenAI | $2.50/1M | $10.00/1M | $45 | 128k tokens | Fast | 58 | 76 | 65 |
| GPT-5.2 MiniOpenAI | $1.20/1M | $4.80/1M | $22 | 128k tokens | Fast | 78 | 72 | 68 |
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-4o vs GPT-5.2 Mini, what it is genuinely good at, and where we would steer you away from it.
Our pick for GPT-4o vs GPT-5.2 Mini. It scores 80/100 on the images axis we weight this page by, and nothing else in this shortlist matches it on output quality.
Versatile multimodal model that handles image-related workflows and mixed-media prompts well.
You need the latest reasoning or coding performance — GPT-5.4 replaces it for serious work.
Still a reliable multimodal pick, especially for teams already in the OpenAI ecosystem.
Full pricing, benchmark table and release notes on the GPT-4o page.
Where most budgets should land for GPT-4o vs GPT-5.2 Mini — about 52% less per token than GPT-4o, and still 50/100 on the images axis.
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.
UseRightAI recommendations are based on practical decision factors people actually feel in day-to-day use.
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GPT-4o wins on more of the categories we score — images, writing, multimodal — so it is the better default of the two. GPT-5.2 Mini is the better pick when your work is mostly budget technical workflows and high-volume product integrations. Neither is universally "better": GPT-4o is aimed at multimodal tasks and image-adjacent workflows, GPT-5.2 Mini at budget technical workflows and high-volume product integrations.
GPT-5.2 Mini is cheaper at $1.2/1M input and $4.8/1M output. GPT-4o costs $2.5/1M input and $10/1M output.
Both GPT-4o and GPT-5.2 Mini have the same 128K context window.
GPT-5.2 Mini is better for coding with a score of 78 vs GPT-4o's 58 (out of 100). GPT-6 Astra is the overall coding leader in this directory at 100/100.
Both GPT-4o and GPT-5.2 Mini have similar speed profiles — rated fast. Neither will be the bottleneck if latency is your deciding factor.
Outclassed by newer models on pure coding and reasoning. Gemini 3.1 Pro now handles multimodal at a lower price. Avoid it if you need the latest reasoning or coding performance — GPT-5.4 replaces it for serious work. That is the main case for looking at GPT-5.2 Mini instead.
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. Against GPT-4o specifically, the gap shows up most on coding (58 vs 78).
Take a moderate workload of 10M input and 2M output tokens a month. GPT-4o runs $45.00 (at $2.5/1M in and $10/1M out); GPT-5.2 Mini runs $21.60 (at $1.2/1M in and $4.8/1M out). That is a $23.40/month difference — GPT-5.2 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-4o for multimodal tasks and image-adjacent workflows, with GPT-5.2 Mini handling budget technical workflows and high-volume product integrations. Routing high-volume, low-stakes calls to GPT-5.2 Mini at $1.2/1M and reserving GPT-4o for the hard cases is usually the cheapest arrangement that does not cost you quality.