OpenAI o3-mini vs Groq Gemma 2 9B

Performance benchmarks + pricing comparison — updated April 2026

OpenAI o3-mini

OpenAI

Affordable reasoning model for coding tasks. Best price-performance for algorithm-heavy work.

Input	$1.10/M
Output	$4.40/M
Context	200K tokens
Best For	Algorithm design, coding challenges, debugging
Benchmark	80/100

Groq

Google's Gemma 2 9B on Groq's LPU. Extremely fast small model for simple tasks.

Input	$0.200/M
Output	$0.200/M
Context	8K tokens
Best For	Simple text tasks, fast chat, cost-sensitive applications

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

Scenario	OpenAI o3-mini	Groq Gemma 2 9B	Savings
Small Script (1K lines)	$0.17	$0.01	Groq Gemma 2 9B saves $0.16 (92%)
Medium Feature (10K lines)	$1.27	$0.11	Groq Gemma 2 9B saves $1.16 (91%)
Large Project (50K lines)	$6.33	$0.55	Groq Gemma 2 9B saves $5.78 (91%)
Code Review (5K lines)	$0.30	$0.04	Groq Gemma 2 9B saves $0.26 (87%)

Groq Gemma 2 9B wins on both price and performance — $0.200/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.