GPT-5 mini vs Gemini 3.1 Pro — Budget vs Mid-Tier AI Pricing

GPT-5 mini is 88% cheaper on input and 83% cheaper on output than Gemini 3.1 Pro. Gemini 3.1 Pro has 3.7x more context.

Pricing data verified: Jun 11, 2026

Cheapest Input
GPT-5 mini
$0.25 vs $2.00 per 1M tokens
Best Context
Gemini 3.1 Pro
1M vs 272K tokens
Best Value
GPT-5 mini
88% cheaper input, 83% cheaper output

All Budget Models Compared

The cheapest AI models from major providers, ranked by input price.

Model Provider Tier Input (per 1M) Output (per 1M) Context
Gemini 2.0 Flash Lite Google Budget $0.075 $0.30 1M
GPT-5 mini OpenAI Budget $0.25 $2.00 272K
Gemini 3.5 Flash Google Mid $1.50 $9.00 1M
Gemini 3.1 Pro Google Mid $2.00 $12.00 1M
Claude Sonnet 4.6 Anthropic Mid $3.00 $15.00 1M

Calculate Your Exact Costs

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OpenAI
GPT-5 mini
$0.00
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Input cost $0.00
Output cost $0.00
Per request $0.00
Google
Gemini 3.1 Pro
$0.00
per month
Input cost $0.00
Output cost $0.00
Per request $0.00
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Which Should You Choose?

Chatbot / Customer Support

High volume, short responses. Cost per message matters most. Budget models handle most customer queries well.

Pick GPT-5 mini: At $0.25/$2.00 it's 88% cheaper on input than Gemini 3.1 Pro. At 1M requests/month: $22.50 vs $140.

Code Generation

Complex reasoning, longer outputs. Quality and accuracy matter. Both handle most coding tasks well.

Pick GPT-5 mini: 88% cheaper input at $0.25 vs $2.00. Solid coding performance at a fraction of the cost.

Long Document Analysis

Processing large documents, legal contracts, or codebases. Context window is critical.

Pick Gemini 3.1 Pro: 1M context window is 3.7x larger than GPT-5 mini's 272K. Essential for very large documents and full codebases.

Multimodal Tasks

Processing images, audio, video alongside text. Native multimodal support matters.

Pick Gemini 3.1 Pro: Native vision and audio capabilities. Built for multimodal workflows from the ground up.

High-Volume Data Processing

Classification, extraction, summarization at scale. Budget is tight, volume is high.

Pick GPT-5 mini: At $0.25/M input, it's 88% cheaper than Gemini 3.1 Pro. At 10M tokens/month: $22.50 vs $140 — saving $117.50/month.

Research & Analysis

Deep research tasks requiring large context and integration with cloud infrastructure.

Pick Gemini 3.1 Pro: 1M context for processing research papers, datasets, and long-form analysis. Deep Google Cloud ecosystem integration.

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Frequently Asked Questions

Is GPT-5 mini cheaper than Gemini 3.1 Pro?

Yes, GPT-5 mini is significantly cheaper than Gemini 3.1 Pro. GPT-5 mini costs $0.25/$2.00 per 1M tokens while Gemini 3.1 Pro costs $2.00/$12.00. That's 88% cheaper on input and 83% cheaper on output. At 10M tokens/month, GPT-5 mini costs $22.50 vs Gemini 3.1 Pro's $140 — saving $117.50/month.

Which is better for coding: GPT-5 mini or Gemini 3.1 Pro?

GPT-5 mini is better for most coding tasks due to its 88% lower input cost. It handles code generation, completion, and refactoring well at $0.25/$2.00 per 1M tokens. Gemini 3.1 Pro may have advantages for multimodal coding tasks (e.g., processing images of UI mockups) thanks to its native vision capabilities, but at $2.00/$12.00 it costs 8x more on input. For cost-conscious developers, GPT-5 mini is the practical choice.

What is the context window difference between GPT-5 mini and Gemini 3.1 Pro?

Gemini 3.1 Pro has a 1M token context window, while GPT-5 mini has a 272K token context window. Gemini 3.1 Pro supports 3.7x more context, which is critical for long document analysis, large codebases, and research tasks. If your workflow requires processing very large inputs, Gemini 3.1 Pro's larger context may justify the higher price.

GPT-5 mini vs Gemini 3.1 Pro for chatbots?

GPT-5 mini is the clear winner for chatbots and customer support. At $0.25/$2.00 per 1M tokens, it's 88% cheaper on input than Gemini 3.1 Pro at $2.00/$12.00. For high-volume chatbot deployments where cost per message matters most, GPT-5 mini delivers excellent value. At 1M messages/month, GPT-5 mini costs roughly $22.50 vs Gemini 3.1 Pro's $140.

When should you choose Gemini 3.1 Pro over GPT-5 mini?

Choose Gemini 3.1 Pro when you need: (1) very large context windows (1M tokens vs 272K), (2) native multimodal capabilities for vision and audio tasks, (3) deep integration with Google Cloud services and BigQuery, or (4) long document analysis that exceeds GPT-5 mini's 272K context. The 88% price premium is justified when these capabilities are essential to your workflow.

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