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Perplexity: Sonar Reasoning Pro vs OpenAI: GPT-3.5 Turbo Instruct

Head-to-head API cost, context, and performance comparison. Synced at 4:09:44 PM.

Executive Summary

When evaluating Perplexity: Sonar Reasoning Pro against OpenAI: GPT-3.5 Turbo Instruct, the pricing structure is a key differentiator. OpenAI: GPT-3.5 Turbo Instruct is approximately 65% more cost-effective per 1 million tokens overall.

However, when looking at raw reasoning capabilities, OpenAI: GPT-3.5 Turbo Instruct leads with a statistical ELO score of 1438. For tasks involving complex logic, coding, or instruction-following, developers might prefer OpenAI: GPT-3.5 Turbo Instruct, provided their budget allows for the API burn rate.

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Raw Technical comparison

Metric
Perplexity: Sonar Reasoning Pro
OpenAI: GPT-3.5 Turbo Instruct
Performance (ELO)
1438
1438
Input Cost / 1M
$2.00
$1.50
Output Cost / 1M
$8.00
$2.00
Context Window
128,000 tokens
4,095 tokens

Verdict

If you are looking for pure performance and capability, Tie is statistically superior. However, if API burn rate is the primary concern, OpenAI: GPT-3.5 Turbo Instruct wins out aggressively in pricing.

People Also Ask

Is Perplexity: Sonar Reasoning Pro cheaper than OpenAI: GPT-3.5 Turbo Instruct?

No. OpenAI: GPT-3.5 Turbo Instruct is the more cost-effective model, operating at a lower price point per 1 million tokens.

Which model has the larger context window?

The Perplexity: Sonar Reasoning Pro model has the advantage in memory, offering a massive 128,000 token limit for document ingestion.

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