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OpenAI: o3 Mini (batch) vs Sakana: Fugu Ultra

Head-to-head API cost, context, and performance comparison. Synced at 4:24:54 PM.

Executive Summary

When evaluating OpenAI: o3 Mini (batch) against Sakana: Fugu Ultra, the pricing structure is a key differentiator. OpenAI: o3 Mini (batch) is approximately 92% more cost-effective per 1 million tokens overall.

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

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Raw Technical comparison

Metric
OpenAI: o3 Mini (batch)
Sakana: Fugu Ultra
Performance (ELO)
1487
1487
Input Cost / 1M
$0.55
$5.00
Output Cost / 1M
$2.20
$30.00
Context Window
200,000 tokens
1,000,000 tokens

Verdict

If you are looking for pure performance and capability, Tie is statistically superior. However, if API burn rate is the primary concern, OpenAI: o3 Mini (batch) wins out aggressively in pricing.

People Also Ask

Is OpenAI: o3 Mini (batch) cheaper than Sakana: Fugu Ultra?

Yes. OpenAI: o3 Mini (batch) is cheaper for both input and output generation compared to Sakana: Fugu Ultra. 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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