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Sakana: Fugu Ultra v2 vs OpenAI: GPT-5.2-Codex

Head-to-head API cost, context, and performance comparison. Synced at 2:07:09 PM.

Executive Summary

When evaluating Sakana: Fugu Ultra v2 against OpenAI: GPT-5.2-Codex, the pricing structure is a key differentiator. OpenAI: GPT-5.2-Codex is approximately 55% more cost-effective per 1 million tokens overall.

However, when looking at raw reasoning capabilities, Sakana: Fugu Ultra v2 leads with a statistical ELO score of 1507. For tasks involving complex logic, coding, or instruction-following, developers might prefer Sakana: Fugu Ultra v2, provided their budget allows for the API burn rate.

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Raw Technical comparison

Metric
Sakana: Fugu Ultra v2
OpenAI: GPT-5.2-Codex
Performance (ELO)
1507
1506
Input Cost / 1M
$5.00
$1.75
Output Cost / 1M
$30.00
$14.00
Context Window
1,000,000 tokens
400,000 tokens

Verdict

If you are looking for pure performance and capability, Sakana: Fugu Ultra v2 is statistically superior. However, if API burn rate is the primary concern, OpenAI: GPT-5.2-Codex wins out aggressively in pricing.

People Also Ask

Is Sakana: Fugu Ultra v2 cheaper than OpenAI: GPT-5.2-Codex?

No. OpenAI: GPT-5.2-Codex is the more cost-effective model, operating at a lower price point per 1 million tokens.

Which model has the larger context window?

The Sakana: Fugu Ultra v2 model has the advantage in memory, offering a massive 1,000,000 token limit for document ingestion.

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