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Gemini 3.1 Flash-Lite vs GPT-4o mini

Gemini 3.1 Flash-Lite and GPT-4o mini: current price, context, max output, and supported operations.

Which one to choose

Pick Gemini 3.1 Flash-Lite for new high-volume multimodal and agent features that need quick responses, tool calling and schema-bound JSON; pick GPT-4o mini when you already run on it, want to distill GPT-4o outputs into a small specialist, or need fine-tuning. Flash-Lite is the more recent design, with fresher knowledge and a longer context, while GPT-4o mini is a long-running, well-understood small model.

Pricing comparison

Gemini 3.1 Flash-LiteGPT-4o mini
Model makerGoogleOpenAI
Delivery availabilityAvailableAvailable
Context window1M128K
Max output64K16K
Official price
Input$0.25per 1M tokensOutput$1.50per 1M tokens
Input$0.15per 1M tokensOutput$0.60per 1M tokens
TokenLab price
Input$0.125per 1M tokensOutput$0.75per 1M tokens
Input$0.105per 1M tokensOutput$0.42per 1M tokens
Model performance
30-day success rate
97.8%
30-day success rate
70.1%
Capabilities
JSON modePrompt CacheTool useVision
JSON modePrompt CacheTool useVision

Choose Gemini 3.1 Flash-Lite when

  • Interactive features must return quickly on every call, such as live classification or receipt reading.
  • You process long inputs that would need chunking on a model with a shorter context.
  • You want tool calling and context caching for repeated, similar agent steps.

Choose GPT-4o mini when

  • You plan to fine-tune a small model or distill GPT-4o outputs into it.
  • Your system already runs on GPT-4o mini and a change would need a full re-evaluation.
  • The task is tagging, short replies or simple vision jobs where a small model is enough.

How they differ

AspectGemini 3.1 Flash-LiteGPT-4o mini
Age and knowledgePart of the Gemini 3.1 line, released in 2026.Knowledge ends in October 2023, older than the GPT-4.1 line.
CustomizationNo fine-tuning or distillation route is described on Google's models page.OpenAI recommends distilling GPT-4o outputs into it and positions it as a target for fine-tuning.
Structured outputSchema-bound JSON output removes brittle parsing of free text.Structured outputs and function calling are supported.
Input lengthTakes long inputs in a single request.Context is much shorter than GPT-4.1 mini's, so long inputs need chunking.
Hard tasksNot reasoning-first; deep planning and hard math belong on Gemini 3.1 Pro.Falls behind larger models on hard reasoning and intricate instructions.

Summary

  • Gemini 3.1 Flash-Lite: Input $0.125 / Output $0.75 per 1M tokens; GPT-4o mini: Input $0.105 / Output $0.42 per 1M tokens. Rates depend on the billing unit, specification, and usage. Compare matching conditions in the model's detailed pricing; a single rate does not determine the total cost.
  • Gemini 3.1 Flash-Lite has a 8.2x larger context window
  • Gemini 3.1 Flash-Lite supports 4.0x more output tokens
Gemini 3.1 Flash-Lite
Gemini 3
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GPT-4o mini
GPT 4o
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FAQ

Is Gemini 3.1 Flash-Lite better than GPT-4o mini?

For a new build it is the stronger starting point: it is newer, takes longer inputs and is designed for low latency. GPT-4o mini stays sensible for existing deployments and for fine-tuning or distillation. Test both on your own data.

Which is better for reading receipts and screenshots?

Both accept images with text in one request. Flash-Lite is described for receipt, form and screenshot processing, and GPT-4o mini for simple vision jobs such as reading a receipt. Compare extraction accuracy on your documents.

Can I switch from GPT-4o mini to Flash-Lite without changing prompts?

Short, direct prompts usually transfer. Re-check JSON schemas, function-calling definitions and any prompt that depends on GPT-4o mini's style, then run your evaluation set before moving traffic.

When should I use a bigger model instead?

When tasks need multi-step reasoning. Flash-Lite hands off to Gemini 3.1 Pro or a Flash model for coding agents. GPT-4o mini hands off to larger OpenAI models on intricate instructions.

Which is cheaper, Gemini 3.1 Flash-Lite or GPT-4o mini?

Gemini 3.1 Flash-Lite: Input $0.125 / Output $0.75 per 1M tokens; GPT-4o mini: Input $0.105 / Output $0.42 per 1M tokens. Rates depend on the billing unit, specification, and usage. Compare matching conditions in the model's detailed pricing; a single rate does not determine the total cost.

What are the key differences between Gemini 3.1 Flash-Lite and GPT-4o mini?

Both models share similar capabilities.

Sources

Reviewed Oct 2, 2026