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Source-tracked model comparison

Gemini 3 Flash Preview vs GPT-4o Mini: which costs less for structured extraction?

Compare verified pricing and model limits for compact multimodal models for structured extraction. The cost example uses a structured data extraction workload and does not assume equal model quality.

Direct cost answer: Gemini 3 Flash Preview is estimated at $305.00 per month and GPT-4o mini at $82.50 for 4,000 input tokens, 500 output tokens, and 100,000 monthly requests. GPT-4o mini is $222.50 lower under these assumptions. This does not identify a quality winner.
Current provider alternativesStructured data extractionSources checked 2026-07-14 / 2026-07-13
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Tracked facts

Pricing and model limits

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

FieldGemini 3 Flash PreviewGPT-4o mini
ProviderGoogleOpenAI
API model IDgemini-3-flash-previewgpt-4o-mini
Input / 1M$0.50$0.15
Cached input / 1M$0.05$0.075
Output / 1M$3.00$0.60
Context window1,048,576 tokens128,000 tokens
Maximum output65,536 tokens16,384 tokens
Accepted inputtext, image, audiotext, image
Example workload

Structured data extraction cost scenario

4,000 input and 500 output tokens per request, 100,000 monthly requests, and 25% cached input.

Google

Gemini 3 Flash Preview

$305.00 / month
Input cost
$155.00
Output cost
$150.00
Per 1,000 calls
$3.05
Pricing profile
standard
View model details
OpenAI

GPT-4o mini

$82.50 / month
Input cost
$52.50
Output cost
$30.00
Per 1,000 calls
$0.825
Pricing profile
standard
View model details

Cost result: GPT-4o mini is $222.50 lower per month for these assumptions. This is a price comparison, not a model-quality ranking.

StackLens assessment

Questions to answer before choosing

  • Which model needs fewer schema repair calls?
  • Are all required input modalities supported?
  • Does preview status affect production approval?
Workload caveat

What this estimate leaves out

Document parsing, OCR, validation infrastructure, and failed-record handling are outside this token estimate.

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

Continue comparing

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