OpenAI o1-mini vs Perplexity Sonar Pro

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

Perplexity

Perplexity's search-optimized model. Built for real-time web search with cited answers.

Input	$3.00/M
Output	$15.00/M
Context	128K tokens
Best For	Research, fact-checking, current events analysis

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

Scenario	OpenAI o1-mini	Perplexity Sonar Pro	Savings
Small Script (1K lines)	$0.17	$0.55	OpenAI o1-mini saves $0.38 (69%)
Medium Feature (10K lines)	$1.27	$4.05	OpenAI o1-mini saves $2.78 (69%)
Large Project (50K lines)	$6.33	$20.25	OpenAI o1-mini saves $13.92 (69%)
Code Review (5K lines)	$0.30	$0.90	OpenAI o1-mini saves $0.60 (66%)

OpenAI o1-mini wins on both price and performance — $1.10/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.