Source-tracked model comparison

How do GPT-4o and Gemini 2.5 Pro costs compare for document workloads?

Compare verified pricing and model limits for multimodal and document-oriented applications. The cost example uses a document summarization workload and does not assume equal model quality.

Direct cost answer: GPT-4o is estimated at $1,437.50 per month and Gemini 2.5 Pro at $818.75 for 50,000 input tokens, 2,500 output tokens, and 10,000 monthly requests. Gemini 2.5 Pro is $618.75 lower under these assumptions. This does not identify a quality winner.
high priorityactiveSources checked 2026-07-13 / 2026-07-12
Tracked facts

Pricing and model limits

Prices are USD per 1M tokens under each model's verified default profile.

FieldGPT-4oGemini 2.5 Pro
ProviderOpenAIGoogle
API model IDgpt-4ogemini-2.5-pro
Input / 1M$2.50$1.25
Cached input / 1M$1.25$0.125
Output / 1M$10.00$10.00
Context window128,000 tokens1,048,576 tokens
Maximum output16,384 tokens65,536 tokens
Accepted inputtext, imagetext, image, video, audio, pdf
Example workload

Document summarization cost scenario

50,000 input and 2,500 output tokens per request, 10,000 monthly requests, and 10% cached input.

OpenAI

GPT-4o

$1,437.50 / month
Input cost
$1,187.50
Output cost
$250.00
Per 1,000 calls
$143.75
Pricing profile
standard
View model details
Google

Gemini 2.5 Pro

$818.75 / month
Input cost
$568.75
Output cost
$250.00
Per 1,000 calls
$81.88
Pricing profile
standard / short context
View model details

Cost result: Gemini 2.5 Pro is $618.75 lower per month for these assumptions. This is a price comparison, not a model-quality ranking.

StackLens assessment

Questions to answer before choosing

  • Which input modalities are required by the product?
  • Does the workload need the full tracked context window?
  • How do output length and thinking-token rules affect cost?
Workload caveat

What this estimate leaves out

OCR, file ingestion, multimodal document processing, and multi-pass summarization are not included.

Latency, reliability, output quality, retries, regional processing, and provider-specific tool charges can change the practical decision.