Live technical benchmark comparing token limits, input/output API pricing, and modalities.
openai/gpt-4o
google/gemini-3.5-flash
The primary differentiator in developer workflow design is context retention capacity. OpenAI: GPT-4o offers a context window of 128,000 tokens, while Google: Gemini 3.5 Flash supports up to 1,048,576 tokens.
This gives Google: Gemini 3.5 Flash a substantial advantage of 8x larger prompt processing capacity, making it the ideal choice for loading massive codebases, long runbooks, or extensive research data.
Evaluating pricing metrics is critical for running high-frequency background cron workflows.For input queries, OpenAI: GPT-4o costs $2.50 per 1M tokens, compared to $1.50 per 1M tokens for Google: Gemini 3.5 Flash.
Google: Gemini 3.5 Flash is the more cost-effective choice for input prompts, yielding savings of 40% compared to OpenAI: GPT-4o. Similarly, output generations are cheaper on Google: Gemini 3.5 Flash ($9.00 vs $10.00), representing a savings of 10% on completion tokens.
Google: Gemini 3.5 Flash is better for large document parsing due to its larger context capacity of 1,048,576 tokens, enabling it to fit approximately 8x more content than OpenAI: GPT-4o in a single prompt.
Google: Gemini 3.5 Flash is more budget-friendly for prompt inputs, costing $1.50 per million tokens (a saving of 40%). For output completion tokens, Google: Gemini 3.5 Flash is more cost-effective ($9.00 per 1M tokens).
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