ChatGPT API vs Gemini API: 2026 Developer Pricing
Gemini API is significantly cheaper for high-volume automated workflows, offering a free tier, $0.10 per 1M input tokens for 2.5 Flash Lite, and free code execution. ChatGPT API operates on higher standard rates, with standard GPT-5/6 input costing $5.00 per 1M tokens and output at $30.00 per 1M tokens. Developers choosing between them must balance OpenAI's advanced tool ecosystem against Google's aggressive pricing discounts.
Data checked:
TL;DR verdict
Pick Gemini API when volume is extremely high, your workflows rely on long-context processing with context caching at $1.00 per 1M tokens per hour, or you require a free tier. Pick ChatGPT API when you need OpenAI's specific model intelligence, specialized tools like Sora video generation from $0.10 per second, or advanced web search integrations starting at $10.00 per 1,000 calls.
| ChatGPT API | Gemini API | |
|---|---|---|
| Standard Input (per 1M tokens) | $5.00 (GPT-5/6 Standard) | $0.10 (Gemini 2.5 Flash Lite) |
| Standard Output (per 1M tokens) | $30.00 (GPT-5/6 Standard) | $0.40 (Gemini 2.5 Flash Lite) |
| Free Tier Option | 1 GB free Chatkit storage per account per month | Free of charge standard tier |
| Batch API Discount | $2.50 input / $15.00 output per 1M tokens | 50% cost reduction across models |
| Code Execution Cost | $0.03 per 20-minute session (1GB shell) | Free of charge (billed at standard token rates) |
| Search Grounding Integration | $10.00 per 1,000 standard calls | $14 per 1,000 queries (Gemini 3 models) |
| File Search Storage Cost | $0.10 per GB per day | Free of charge (only embedding fees apply) |
| Premium Video (per second) | $0.10 per second (Sora 2 720p) | $0.40 per second (Veo 3.1 standard) |
Sources: OpenAI API pricing · Gemini API pricing · data checked: Jul 19, 2026
Which we'd pick, scenario by scenario
High-volume document parser
Gemini API. Processing millions of pages via Gemini 2.5 Flash Lite at $0.10 per 1M input tokens and $0.40 per 1M output tokens is vastly cheaper than OpenAI's standard pricing tiers.
Interactive voice application
ChatGPT API. Using GPT Realtime 2.1 audio inputs at $32.00 per 1M tokens and outputs at $64.00 per 1M tokens provides highly responsive, specialized voice capabilities.
Complex multi-agent system
Gemini API. Native context caching at $1.00 per 1M tokens per hour and free code execution significantly reduce execution costs compared to OpenAI's hosted code interpreter at $0.03 per session.
Our take
When you wire LLMs into production systems, the price differences between OpenAI and Google quickly compound from negligible cents to major line items. Building custom tools using AI chatbots means paying close attention to token consumption patterns. OpenAI's ecosystem charges premium rates, demanding $5.00 per 1M input tokens and $30.00 per 1M output tokens for standard GPT-5/6. In contrast, Google offers extremely aggressive pricing such as Gemini 2.5 Flash Lite at $0.10 per 1M input tokens and $0.40 per 1M output tokens. Where Google really pressures OpenAI is on secondary utilities: Gemini executes code for free, while ChatGPT charges $0.03 per 20-minute session. Additionally, Google context caching costs only $1.00 per 1,000,000 tokens per hour, allowing developers to hold enormous databases in context. If you are building high-frequency applications, we recommend leveraging Gemini to manage core data pipelines. However, if your application relies on specialized OpenAI models, the premium rates are often justified by raw task completion consistency. To minimize waste, developers should build multi-model architectures that use cheap Gemini models for classification and premium OpenAI models for complex synthesis.