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Sakana: Fugu Ultra vs OpenAI: o1-pro

Head-to-head API cost, context, and performance comparison. Synced at 9:00:04 AM.

Executive Summary

When evaluating Sakana: Fugu Ultra against OpenAI: o1-pro, the pricing structure is a key differentiator. Sakana: Fugu Ultra is approximately 95% more cost-effective per 1 million tokens overall.

However, when looking at raw reasoning capabilities, OpenAI: o1-pro leads with a statistical ELO score of 1487. For tasks involving complex logic, coding, or instruction-following, developers might prefer OpenAI: o1-pro, provided their budget allows for the API burn rate.

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Raw Technical comparison

Metric
Sakana: Fugu Ultra
OpenAI: o1-pro
Performance (ELO)
1487
1487
Input Cost / 1M
$5.00
$150.00
Output Cost / 1M
$30.00
$600.00
Context Window
1,000,000 tokens
200,000 tokens

Verdict

If you are looking for pure performance and capability, Tie is statistically superior. However, if API burn rate is the primary concern, Sakana: Fugu Ultra wins out aggressively in pricing.

People Also Ask

Is Sakana: Fugu Ultra cheaper than OpenAI: o1-pro?

Yes. Sakana: Fugu Ultra is cheaper for both input and output generation compared to OpenAI: o1-pro. Exploring alternatives often yields cost reductions.

Which model has the larger context window?

The Sakana: Fugu Ultra model has the advantage in memory, offering a massive 1,000,000 token limit for document ingestion.

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