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OpenAI: GPT-4 Turbo Preview vs OpenAI: o3 Deep Research

Head-to-head API cost, context, and performance comparison. Synced at 11:25:18 AM.

Executive Summary

When evaluating OpenAI: GPT-4 Turbo Preview against OpenAI: o3 Deep Research, the pricing structure is a key differentiator. OpenAI: GPT-4 Turbo Preview is approximately 20% more cost-effective per 1 million tokens overall.

However, when looking at raw reasoning capabilities, OpenAI: GPT-4 Turbo Preview leads with a statistical ELO score of 1498. For tasks involving complex logic, coding, or instruction-following, developers might prefer OpenAI: GPT-4 Turbo Preview, provided their budget allows for the API burn rate.

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Raw Technical comparison

Metric
OpenAI: GPT-4 Turbo Preview
OpenAI: o3 Deep Research
Performance (ELO)
1498
1493
Input Cost / 1M
$10.00
$10.00
Output Cost / 1M
$30.00
$40.00
Context Window
128,000 tokens
200,000 tokens

Verdict

If you are looking for pure performance and capability, OpenAI: GPT-4 Turbo Preview is statistically superior. However, if API burn rate is the primary concern, OpenAI: GPT-4 Turbo Preview wins out aggressively in pricing.

People Also Ask

Is OpenAI: GPT-4 Turbo Preview cheaper than OpenAI: o3 Deep Research?

Yes. OpenAI: GPT-4 Turbo Preview is cheaper for both input and output generation compared to OpenAI: o3 Deep Research. Exploring alternatives often yields cost reductions.

Which model has the larger context window?

The OpenAI: o3 Deep Research model has the advantage in memory, offering a massive 200,000 token limit for document ingestion.

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