AI model comparison

GPT-4o vs Gemini 3 Pro Image

Compare recorded price, context, output limits, speed, latency, capabilities, and input/output support. Every missing value stays visible, and unsourced benchmarks are excluded.

This GPT-4o vs Gemini 3 Pro Image comparison is designed for teams choosing between two production model records, not for declaring a universal winner. GPT-4o by OpenAI currently records 128K context, 16.4K maximum output, $2.50 input per 1M tokens, $10.00 output per 1M tokens, 110 t/s recorded output speed, 0.42s recorded time to first token. Gemini 3 Pro Image by Vertex via Requesty records 1.0M context, 32.8K maximum output, $2.00 input per 1M tokens, $12.00 output per 1M tokens. The tables below separate documented capabilities, commercial limits, directory measurements, and source-linked benchmark evidence so you can see where the data is complete and where independent testing is still required.

Side-by-sideSpecs and pricing, compared

OpenAI

GPT-4o

OpenAI's omni-era workhorse — text and image in, text out, with a cached-input rate that halves the cost of repeated context.

Context
128K
Max output
16.4K
Input / 1M
$2.50
Output / 1M
$10.00
Output speed
110 t/s

Accepts

  • Text input
  • Image input
  • Audio input

Produces

  • Text output
VS

Vertex via Requesty

Gemini 3 Pro Image

Gemini 3 Pro Image, or Gemini 3 Pro (with Nano Banana), is designed to tackle the most challenging image generation by incorporating state-of-the-art reasoning capabilities. It's the best model for complex and multi-turn image generation and editing, having improved accuracy and enhanced image quality.

Context
1.0M
Max output
32.8K
Input / 1M
$2.00
Output / 1M
$12.00
Output speed

Accepts

  • Text input
  • Image input

Produces

  • Text output
  • Image output

At a glance

Decision snapshot

This is a directional summary of the values recorded in this directory—not a universal quality verdict. Test the finalists on your own prompts before committing.

Where GPT-4o leads in recorded data

  • Output price: $10.00

Where Gemini 3 Pro Image leads in recorded data

  • Context capacity: 1.0M
  • Maximum output: 32.8K
  • Input price: $2.00

Context capacity

Higher listed limit

GPT-4o:128K

Gemini 3 Pro Image:1.0M

Gemini 3 Pro Image

Maximum output

Higher listed limit

GPT-4o:16.4K

Gemini 3 Pro Image:32.8K

Gemini 3 Pro Image

Input price

Lower recorded price

GPT-4o:$2.50

Gemini 3 Pro Image:$2.00

Gemini 3 Pro Image

Output price

Lower recorded price

GPT-4o:$10.00

Gemini 3 Pro Image:$12.00

GPT-4o

Output speed

Higher recorded throughput

GPT-4o:110 t/s

Gemini 3 Pro Image:

No complete comparison

Time to first token

Lower recorded latency

GPT-4o:0.42s

Gemini 3 Pro Image:

No complete comparison

Intelligence Index

Higher directory index

GPT-4o:77.5

Gemini 3 Pro Image:

No complete comparison

Evidence

Verified shared benchmarks

A score appears only when both records include a verified source. It is not treated as a universal ranking.

These two models haven't been measured on the same benchmark yet, so there's nothing meaningful to chart. Comparing scores from different tests would tell you more about the tests than the models — the specs and pricing above are the better guide here.

Specifications

Pricing, limits and capabilities

SpecificationGPT-4oGemini 3 Pro Image
ProviderOpenAIVertex via Requesty
Model familyGPT-4
Accepted inputstext, image, audiotext, image
Produced outputstexttext, image
Context window128K1.0MRecorded lead
Max output16.4K32.8KRecorded lead
Intelligence Index77.5
Input price / 1M$2.50$2.00Recorded lead
Output price / 1M$10.00Recorded lead$12.00
Output speed110 t/s
Time to first token0.42s
Reasoning modeNot documentedDocumented
Tool callingDocumentedDocumented
Image inputDocumentedDocumented
Audio inputDocumentedNot documented
Structured outputDocumentedNot documented
LicenseProprietaryNot documented
ReleasedMay 13, 2024Not documented

Workload guidance

Which model should you choose?

GPT-4o currently leads on lower recorded output price. Gemini 3 Pro Image currently leads on larger context, larger maximum output, lower recorded input price. Choose according to the constraints that matter to your workload, then run the same representative prompts against both models before making a production commitment. Neither the larger number nor the lower price is automatically the better choice: prompt quality, tool reliability, modality support, rate limits, data policy, and provider implementation can change the result. Use this page to build a shortlist, confirm current terms in the linked sources, and validate quality, latency, and cost with your own traffic.

Provenance

Sources and data limits

Prices and hosted performance can change. SyncDev records source references and clearly separates documented specifications from measured values; confirm commercial terms with the provider before deployment.

Questions people ask

It compares recorded context and output limits, token prices, output speed, time to first token, Intelligence Index, modality support, tool and structured-output capabilities, release information, and only source-linked benchmarks verified on both records. Missing information is labeled rather than inferred.

Compare a different pair

Choose any two approved model records and review them with the same evidence rules.

Open model comparison