Google: Nano Banana Pro (Gemini 3 Pro Image) vs OpenAI: o4 Mini High

Neither wins outright: Google: Nano Banana Pro (Gemini 3 Pro Image) is the pick when you need image output, OpenAI: o4 Mini High when cost matters at scale.

Key numbers

SpecGoogle: Nano Banana Pro (Gemini 3 Pro Image)OpenAI: o4 Mini High
ProviderGoogleOpenAI
Input price (per 1M tokens)$2.00$1.10
Output price (per 1M tokens)$12.00$4.40
Blended price (3:1 input/output)$4.50$1.93
Cheaper than … of all models we track12%27%
Context window131K tokens (~197 pages)200K tokens (~300 pages)
Larger context than … of all models22%37%
Max output per response33K tokens (~24,600 words)100K tokens (~75,000 words)
Input typesimage, textimage, text, file
Output typesimage, texttext
Free variantNoNo
Listed since2026-06-182025-04-16
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What it costs for real workloads

Monthly cost at list price for five common workloads. Token counts per unit are stated so you can scale them to your own traffic. A workload that does not fit a model's context window is marked rather than priced.

Workload (per month)Google: Nano Banana Pro (Gemini 3 Pro Image)OpenAI: o4 Mini HighDifference
Customer-support chatbot
50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens)
$390$171OpenAI: o4 Mini High saves $220
RAG search over documents
20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens)
$360$176OpenAI: o4 Mini High saves $184
Coding / tool-using agent
2,000 tasks — each a multi-step task with tool calls and file context (60,000 in / 6,000 out tokens)
$384$185OpenAI: o4 Mini High saves $199
Batch summarisation
10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens)
$232$114OpenAI: o4 Mini High saves $118
Long-document analysis
500 documents — each a 150-page contract or codebase read in one pass (100,000 in / 2,000 out tokens)
$112$59.40OpenAI: o4 Mini High saves $52.60

Capabilities side by side

CapabilityGoogle: Nano Banana Pro (Gemini 3 Pro Image)OpenAI: o4 Mini HighWhat it lets you do
Tool / function calling✓ Yes✓ Yescall your APIs and run agent loops
Structured output (JSON schema)✓ Yes✓ Yesreturn JSON that validates against your schema
Reasoning / thinking mode✓ Yes✓ Yesspend extra tokens thinking before answering hard problems
Image input✓ Yes✓ Yesread screenshots, charts and scanned pages
Audio input——take speech or audio directly
File / PDF input—✓ Yesaccept documents without your own parsing step
Image output✓ Yes—generate images, not just text
Built-in web search✓ Yes✓ Yesanswer from live web results
Seed (reproducible sampling)✓ Yes✓ Yesrepeat a generation for tests and evals
Log-probabilities——read token confidence for classification and scoring

From each model's published parameters and input/output types. “—” means not advertised, not proven absent.

Price history

Which should you choose?

Choose Google: Nano Banana Pro (Gemini 3 Pro Image) if…

  • you need image output — to generate images, not just text; OpenAI: o4 Mini High does not advertise it
  • you want the newer model — released 2026-06-18, 14 months after the other

Choose OpenAI: o4 Mini High if…

  • cost matters at scale — it is 57% cheaper on a typical 3:1 input/output mix ($171 vs $390 a month for 50,000 support chats)
  • you need to fit long inputs in one request — 200K tokens is roughly 300 pages, against 197
  • you need file / PDF input — to accept documents without your own parsing step; Google: Nano Banana Pro (Gemini 3 Pro Image) does not advertise it
  • you generate long outputs in one go — up to 100K tokens (about 75,000 words) per response

Frequently asked questions

Is Google: Nano Banana Pro (Gemini 3 Pro Image) better than OpenAI: o4 Mini High?

Neither wins outright: Google: Nano Banana Pro (Gemini 3 Pro Image) is the pick when you need image output, OpenAI: o4 Mini High when cost matters at scale. In short: Google: Nano Banana Pro (Gemini 3 Pro Image) when you need image output, you want the newer model; OpenAI: o4 Mini High when cost matters at scale, you need to fit long inputs in one request, you need file / PDF input, you generate long outputs in one go.

Which is cheaper, Google: Nano Banana Pro (Gemini 3 Pro Image) or OpenAI: o4 Mini High?

OpenAI: o4 Mini High is cheaper: $1.93 vs $4.50 per 1M tokens at a typical 3:1 input/output mix, 57% less. For 50,000 support conversations a month that is $171 against $390.

How much do Google: Nano Banana Pro (Gemini 3 Pro Image) and OpenAI: o4 Mini High cost per million tokens?

Google: Nano Banana Pro (Gemini 3 Pro Image) costs $2.00 per 1M input tokens and $12.00 per 1M output tokens; OpenAI: o4 Mini High costs $1.10 input and $4.40 output. Output tokens are billed separately, so long answers shift the gap.

Which has the bigger context window, Google: Nano Banana Pro (Gemini 3 Pro Image) or OpenAI: o4 Mini High?

OpenAI: o4 Mini High: 200K tokens, about 300 pages, against 131K (about 197 pages) for Google: Nano Banana Pro (Gemini 3 Pro Image).

Do Google: Nano Banana Pro (Gemini 3 Pro Image) and OpenAI: o4 Mini High support function calling and JSON output?

Tool calling — Google: Nano Banana Pro (Gemini 3 Pro Image): yes, OpenAI: o4 Mini High: yes. JSON-schema structured output — Google: Nano Banana Pro (Gemini 3 Pro Image): yes, OpenAI: o4 Mini High: yes.

Can Google: Nano Banana Pro (Gemini 3 Pro Image) or OpenAI: o4 Mini High read images?

Yes, both accept image input.

Is Google: Nano Banana Pro (Gemini 3 Pro Image) or OpenAI: o4 Mini High free to use?

No free variant is listed for either; both are pay-per-token.

What is the maximum output length of Google: Nano Banana Pro (Gemini 3 Pro Image) and OpenAI: o4 Mini High?

Google: Nano Banana Pro (Gemini 3 Pro Image) can write up to 33K tokens (about 24,600 words) per response; OpenAI: o4 Mini High up to 100K (about 75,000 words).

When were Google: Nano Banana Pro (Gemini 3 Pro Image) and OpenAI: o4 Mini High released?

Google: Nano Banana Pro (Gemini 3 Pro Image) was listed on 2026-06-18; OpenAI: o4 Mini High on 2025-04-16.

About the two models

OpenAI

OpenAI: o4 Mini High

OpenAI o4-mini-high is the same model as [o4-mini](/openai/o4-mini) with reasoning_effort set to high. OpenAI o4-mini is a compact reasoning model in the o-series, optimized for fast, cost-efficient performance while retaining...

Full OpenAI: o4 Mini High specs →

Compare Google: Nano Banana Pro (Gemini 3 Pro Image) with other models

Compare OpenAI: o4 Mini High with other models

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