AI Pricing Hub Guide

Source-backed AI pricing

OpenAI vs Google Gemini pricing

Compare OpenAI vs Google Gemini token prices and sample workload costs.

Content quality

Comparison page context

This page is refreshed as part of the static pricing build and combines current pricing with surrounding context. This comparison focuses on OpenAI and Google Gemini pricing using the same static pricing snapshot.

Sample monthly costN/A

Google Gemini - gemini-exp-1114

Model12

Prices are normalized from official provider pricing sources. Marketplace offers are labeled by hosting platform; verify the linked source before purchasing or deploying.

Provider pricing

OpenAI vs Google Gemini pricing

Sample workload: 10,000 requests/month, 8,000 input tokens, 1,500 output tokens, 30% cached input when listed.

ProviderModelInput / 1MCached / 1MOutput / 1MSample monthly costSource
Google Geminigemini-exp-1114
USD per 1M tokens
N/ANot listedN/AN/ASource
Google Geminigemma-3-27b-it
USD per 1M tokens
N/ANot listedN/AN/ASource
Google Geminilearnlm-1.5-pro-experimental
USD per 1M tokens
N/ANot listedN/AN/ASource
Google Geminilyria-3-clip-preview
USD per 1M tokens
N/ANot listedN/AN/ASource
Google Geminilyria-3-pro-preview
USD per 1M tokens
N/ANot listedN/AN/ASource
OpenAIgpt-5-nano
USD per 1M tokens
$0.050$0.005$0.400$8.92Source
OpenAIgpt-5-nano-2025-08-07
USD per 1M tokens
$0.050$0.005$0.400$8.92Source
Google Geminigemini-2.0-flash-lite
USD per 1M tokens
$0.075$0.019$0.300$9.15Source
Google Geminigemini-2.0-flash-lite-001
USD per 1M tokens
$0.075$0.019$0.300$9.15Source
Google Geminigemini-2.5-flash-lite
USD per 1M tokens
$0.100$0.010$0.400$11.84Source
Google Geminigemini-2.5-flash-lite-preview-09-2025
USD per 1M tokens
$0.100$0.010$0.400$11.84Source
Google Geminigemini-flash-lite-latest
USD per 1M tokens
$0.100$0.010$0.400$11.84Source

Guide

Related pricing pages

Contextual insights

OpenAI vs Google Gemini pricing data notes

Pricing and context
  • This comparison focuses on OpenAI and Google Gemini pricing using the same static pricing snapshot.
  • Cost scenarios should be read together with context window, provider, cached input, and listed capability differences.
  • The preloaded calculator link lets readers replace the default workload with their own request volume.
Data source

Current pricing comes from dist/data/providers.json, provider history files in dist/data/history/, and generated internal page links. The public build was last generated on 2026-08-04.

Methodology

Comparison pages normalize both models against the same workload assumptions, then add capability, provider, context, and history signals.

Last updated2026-08-04

Static build timestamp from the pricing dataset.

ConclusionCheck source links

The current data suggests is that OpenAI vs Google Gemini pricing should be evaluated through the page's linked price, source, history, and related model context. This comparison focuses on OpenAI and Google Gemini pricing using the same static pricing snapshot.

Editorial information

Reviewed by AI Pricing Hub Editorial

Last updated

2026-08-04

Methodology

Methodology explains collection, validation, limitations, and update cadence.