GPT-4 vs Perplexity Sonar Reasoning Pro

Performance benchmarks + pricing comparison — updated April 2026

GPT-4

OpenAI

Original GPT-4. Most expensive OpenAI model, largely superseded by newer options.

Input	$30.00/M
Output	$60.00/M
Context	8K tokens
Best For	Legacy applications requiring GPT-4 specifically
Benchmark	68/100

Perplexity

Perplexity's most advanced search model with deep reasoning. Complex research tasks with cited sources.

Input	$5.00/M
Output	$20.00/M
Context	128K tokens
Best For	Deep research, academic analysis, complex investigations

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

Scenario	GPT-4	Perplexity Sonar Reasoning Pro	Savings
Small Script (1K lines)	$2.85	$0.78	Perplexity Sonar Reasoning Pro saves $2.07 (73%)
Medium Feature (10K lines)	$22.50	$5.75	Perplexity Sonar Reasoning Pro saves $16.75 (74%)
Large Project (50K lines)	$112.50	$28.75	Perplexity Sonar Reasoning Pro saves $83.75 (74%)
Code Review (5K lines)	$6.75	$1.38	Perplexity Sonar Reasoning Pro saves $5.38 (80%)

Perplexity Sonar Reasoning Pro wins on both price and performance — $5.00/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.