OpenAI o1-mini vs Gemini 2.0 Flash Lite

Performance benchmarks + pricing comparison — updated April 2026

OpenAI o1-mini

OpenAI

Cost-effective reasoning model. Good for coding tasks that require logical reasoning.

Input	$1.10/M
Output	$4.40/M
Context	128K tokens
Best For	Coding logic, debugging, algorithm design
Benchmark	70/100

Google

Google's most cost-effective Gemini model. Great for high-volume, latency-sensitive applications.

Input	$0.075/M
Output	$0.300/M
Context	1M tokens
Best For	High-volume tasks, real-time applications, cost-sensitive projects

Estimated cost per project with 30% cache hit rate. Actual costs may vary based on usage patterns.

Scenario	OpenAI o1-mini	Gemini 2.0 Flash Lite	Savings
Small Script (1K lines)	$0.17	$0.01	Gemini 2.0 Flash Lite saves $0.16 (93%)
Medium Feature (10K lines)	$1.27	$0.09	Gemini 2.0 Flash Lite saves $1.18 (93%)
Large Project (50K lines)	$6.33	$0.43	Gemini 2.0 Flash Lite saves $5.89 (93%)
Code Review (5K lines)	$0.30	$0.02	Gemini 2.0 Flash Lite saves $0.28 (93%)

Gemini 2.0 Flash Lite wins on both price and performance — $0.075/M input with a benchmark score of N/A/100.

For most developers, this is the clear choice between these two models.

Anthropic's balanced model for coding and general tasks. Best price-performance ratio in the Claude family.

Anthropic's most powerful model. Best for complex reasoning and challenging coding tasks.

Previous generation Sonnet. Still excellent for coding tasks at the same price point.

Fast, cost-effective model for high-volume tasks. Great for code review and simple queries.

First generation Opus. Highest reasoning capability in the Claude 3 family.

First generation Sonnet. Balanced performance for general tasks.