Gemini 3.5 Flash vs GPT-5 mini — Budget AI Model Pricing 2026

Requests per Day

Days per Month

Google

Gemini 3.5 Flash

$0.00

per month

Input cost

Output cost

Cost per request

Requests/month

OpenAI

GPT-5 mini

$0.00

per month

Input cost

Output cost

Cost per request

Requests/month

Other Budget Models

DeepSeek V4 Flash

DeepSeek

$0.07 / $0.27 per 1M

1M context

Gemini 2.5 Flash-Lite

Google

$0.075 / $0.30 per 1M

1M context

Llama 4 Scout

Which Budget Model for Which Use Case?

High-Volume Chatbot

Customer-facing chatbot with thousands of daily requests. GPT-5 mini's 83% cheaper input pricing makes a huge difference at scale.

Better value: GPT-5 mini

Long Document Processing

Processing documents over 272K tokens — legal contracts, research papers, codebases. Only Gemini 3.5 Flash's 1M context handles this.

Only option: Gemini 3.5 Flash

Code Assistant

AI-powered coding help, code review, refactoring. Both models are strong. GPT-5 mini offers better cost per request for high-volume use.

Better value: GPT-5 mini | Long codebases: Gemini 3.5 Flash

Content Generation

Blog posts, marketing copy, product descriptions. Both handle this well. GPT-5 mini at $0.25/$2 vs Gemini 3.5 Flash at $1.50/$9 — GPT-5 mini is 83% cheaper on input.

Better value: GPT-5 mini

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Frequently Asked Questions

Is Gemini 3.5 Flash cheaper than GPT-5 mini?

Yes, Gemini 3.5 Flash is significantly cheaper. Gemini 3.5 Flash costs $1.50/M input and $9/M output, while GPT-5 mini costs $0.25/M input and $2/M output. GPT-5 mini is 83% cheaper on input tokens and 78% cheaper on output tokens.

Which has a larger context window?

Gemini 3.5 Flash has a much larger context window at 1M tokens compared to GPT-5 mini's 272K tokens. If your use case involves processing very long documents or extended conversations, Gemini 3.5 Flash gives you 3.7x more context.

When should I choose Gemini 3.5 Flash over GPT-5 mini?

Choose Gemini 3.5 Flash when you need: (1) Large context windows over 272K tokens, (2) Tasks where Google's training gives better results, (3) Projects already using the Google ecosystem. For most cost-sensitive workloads, GPT-5 mini offers better value per dollar.

Can I mix Gemini 3.5 Flash and GPT-5 mini to optimize costs?

Yes. Use GPT-5 mini for most requests (83% cheaper input) and route long-context tasks (>272K tokens) to Gemini 3.5 Flash. This multi-model strategy can save 30-50% vs using Gemini 3.5 Flash for everything.