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Gemini 3.1 Flash-Lite vs o4-mini: API Cost Comparison

Compare the API pricing, context windows, features, and real-world cost projections for Gemini 3.1 Flash-Lite (Google) and o4-mini (OpenAI). Use the interactive calculator below to compute your exact monthly cost based on your token usage and request volume.

Prices verified Mar 8, 2026

Interactive Cost Calculator

GoogleGemini 3.1 Flash-LiteOpenAIo4-mini

Fills in typical token counts for a workload type

Tokens in each prompt sent to the model

Tokens generated in each response

Total API calls per month

Showing costs for 2 models. Cheapest: Gemini 3.1 Flash-Lite at $10.00/month.

Cheapest: Gemini 3.1 Flash-Lite at $10.00/mo — save 69.7% vs o4-mini
Alert
BestGemini 3.1 Flash-Lite
Google$10.00$0.001000$2.50$7.5069.7%Alerts coming soon
o4-mini
OpenAI$33.00$0.003300$11.00$22.00Alerts coming soon

Monthly Cost Comparison

Price Comparison at a Glance

All prices are in USD per 1 million tokens ($/M tokens). Lower is cheaper.

Pricing TypeGemini 3.1 Flash-Liteo4-miniCheaper
Input (standard)$0.25/M$1.10/MGemini 3.1 Flash-Lite
Output$1.50/M$4.40/MGemini 3.1 Flash-Lite
Cached input$0.03/M$0.28/MGemini 3.1 Flash-Lite
Batch input$0.13/M$0.55/MGemini 3.1 Flash-Lite
Batch output$0.75/M$2.20/MGemini 3.1 Flash-Lite

Prices last verified: 2026-03-08

Cost Breakdown by Usage Volume

Estimated monthly costs at different request volumes, assuming 1,000 input tokens and 500 output tokens per request. Adjust in the calculator above for your specific use case.

VolumeGemini 3.1 Flash-LiteMonthlyo4-miniMonthlyGemini 3.1 Flash-LitePer requesto4-miniPer request
1K requests/mo$1.00$3.30$0.001000$0.003300
10K requests/mo$10.00$33.00$0.001000$0.003300
100K requests/mo$100.00$330.00$0.001000$0.003300
1M requests/mo$1,000.00$3,300.00$0.001000$0.003300

Green values indicate the lower-cost option at each volume tier. Cost per request is calculated at 1,000 input + 500 output tokens using standard (non-batch, non-cached) pricing.

Price History

Input price per 1M tokens

When to Choose Gemini 3.1 Flash-Lite

by Google

  • Text classification
  • Data extraction
  • Customer support

Input / 1M tokens

$0.25/M

Output / 1M tokens

$1.50/M

Context window

1,048,576

Tier

budget

When to Choose o4-mini

by OpenAI

  • Code generation
  • Data extraction

Input / 1M tokens

$1.10/M

Output / 1M tokens

$4.40/M

Context window

200,000

Tier

reasoning

Key Differences Beyond Price

Cost is only one factor in choosing an AI model. Context window size, rate limits, supported features, and latency all affect whether a model fits your use case.

CapabilityGemini 3.1 Flash-Liteo4-mini
Context window1,048,576 tokens200,000 tokens
Max output tokens65,536 tokens100,000 tokens
Performance tierBudgetReasoning
Vision / image inputYesYes
Function callingYesYes
JSON modeYesYes
Prompt cachingYesYes
Batch API (50% discount)YesYes
Extended reasoningNoYes
Fine-tuningNoNo
Rate limit (req/min)4,0001,000

Gemini 3.1 Flash-Lite notes

Preview model. Budget-friendly Gemini 3.1 option with 1M context window.

o4-mini notes

Configurable reasoning effort. Best budget reasoning model from OpenAI.

Frequently Asked Questions

Is Gemini 3.1 Flash-Lite cheaper than o4-mini?

At standard usage (1,000 input tokens, 500 output tokens, 100,000 requests/month), Gemini 3.1 Flash-Lite costs $100.00/month versus $330.00/month for o4-mini — a 70% saving. Your actual savings will vary based on your token profile; output-heavy workloads amplify differences in output pricing.

Which model has a larger context window, Gemini 3.1 Flash-Lite or o4-mini?

Gemini 3.1 Flash-Lite has a larger context window at 1,048,576 tokens, compared to 200,000 tokens for o4-mini. A larger context window is important for processing long documents, multi-turn conversations, or large codebases without truncation.

Do Gemini 3.1 Flash-Lite and o4-mini support the Batch API?

Yes — both Gemini 3.1 Flash-Lite and o4-mini support batch API processing, which offers a 50% discount on input and output costs in exchange for up to 24-hour turnaround. Ideal for offline workloads like bulk document processing or nightly classification pipelines.

Which model offers better prompt caching?

Both Gemini 3.1 Flash-Lite and o4-mini support prompt caching. Gemini 3.1 Flash-Lite caches repeated input at $0.03/M (vs $0.25/M standard), while o4-mini caches at $0.28/M (vs $1.10/M standard). For workloads with large, repeated system prompts or document context, caching can reduce effective input costs by 60–90%.

What are the best use cases for Gemini 3.1 Flash-Lite vs o4-mini?

Both models are well-suited for Data extraction. Gemini 3.1 Flash-Lite is particularly strong for Text classification, Customer support. o4-mini is favored for Code generation. At the same quality level, the lower-cost model is usually preferable; use this page's calculator to compare total monthly spend at your volume.

What is the cost per request for Gemini 3.1 Flash-Lite vs o4-mini?

At 1,000 input tokens and 500 output tokens per request — a typical conversational workload — Gemini 3.1 Flash-Lite costs $0.001000 per request and o4-mini costs $0.003300 per request. At 100,000 requests/month, that translates to $100.00 and $330.00 respectively. Use the interactive calculator to adjust these parameters for your actual workload.

Gemini 3.1 Flash-Lite vs o4-mini: Summary

When comparing Gemini 3.1 Flash-Lite and o4-mini for API cost, the right choice depends on your workload's token profile, required features, and tolerance for latency. Gemini 3.1 Flash-Lite offers lower total cost at standard usage volumes (1,000 input + 500 output tokens per request at 100,000 requests/month) at $100.00/month, compared to $330.00/month for o4-mini.

Both models are priced in USD per million tokens, the standard unit across all major AI API providers. Gemini 3.1 Flash-Lite charges $0.25/M for input tokens and $1.50/M for output tokens. o4-mini charges $1.10/M input and $4.40/M output. If your workload is output-heavy (more tokens generated than consumed as input), the model with the lower output price compounds cost savings significantly at scale.

Prompt caching is supported by both models. For workloads with large, repeated system prompts or document context — such as RAG pipelines or multi-turn conversations with a fixed knowledge base — prompt caching can reduce effective input costs by 60–90%, which may change the cost ranking between these two models at your specific usage pattern.

Context window capacity differs between the two: Gemini 3.1 Flash-Lite supports up to 1,048,576 tokens in a single request, versus 200,000 tokens for o4-mini. A larger context window is essential for document summarization, large codebase analysis, and multi-document retrieval-augmented generation (RAG) applications.

Use the interactive calculator at the top of this page to enter your actual token usage and monthly request volume for a precise cost comparison tailored to your workload. Adjust for batch API discounts and prompt caching to find the most cost-effective option for your specific deployment.

Explore other model comparisons from the same providers or performance tiers.

Related Provider Pages

View complete pricing tables and model lineups for the providers behind these models.

Relevant Use Cases

See cost recommendations for workloads where Gemini 3.1 Flash-Lite or o4-mini is recommended.