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Fugu Ultra vs GPT-5.2-Codex

Detailed technical comparison between Fugu Ultra (Sakana AI) and GPT-5.2-Codex (OpenAI). Review live API token pricing, context window capabilities, time-to-first-token latency, and verified benchmark scores side-by-side.

โšก Executive Summary & Verdict

Comparison Snapshot

Fugu Ultra: 0 WinsvsGPT-5.2-Codex: 6 Wins
Context Leader

Fugu Ultra

1,000,000 tokens
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

GPT-5.2-Codex

$1.75 / MTok
Sakana AIactive

Fugu Ultra

Fugu Ultra is the higher-performance model in Sakana AI's Fugu family. Rather than a single monolithic model, Fugu is a learned multi-agent orchestration system: a language model trained to route...

View Fugu Ultra Full Specs โ†’
OpenAIactive

GPT-5.2-Codex

GPT-5.2-Codex is an upgraded version of GPT-5.1-Codex optimized for software engineering and coding workflows. It is designed for both interactive development sessions and long, independent execution of complex engineering tasks....

View GPT-5.2-Codex Full Specs โ†’

Technical Specifications

๐Ÿ† = Superior Spec
SpecificationFugu UltraGPT-5.2-Codex
ProviderSakana AIOpenAI
Context Window1,000,000 tokens๐Ÿ†400,000 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apimanaged api
Production Stabilitybetastable
API AvailableYesYes
Released Date2026-06-242026-01-14

API Pricing Comparison

Input Price per Million Tokens

Fugu Ultra

$5.00

GPT-5.2-Codex

$1.75

Output Price per Million Tokens

Fugu Ultra

$30.00

GPT-5.2-Codex

$14.00

๐Ÿ’ก Cost Ratio: GPT-5.2-Codex is 2.9x cheaper per input token than Fugu Ultra.

Want to test both models live?

Run side-by-side prompt benchmarks in our dynamic multi-model Sandbox. Compare execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Standardized Scores (0โ€“100%)

Scores show verified raw accuracy percentages across standardized AI evaluation suites. Higher bars indicate superior performance in that domain.

MMLUGeneral knowledge & multi-task understanding
85.4%vs93.0%+7.6% GPT-5.2-Codex
Fugu Ultra
GPT-5.2-Codex ๐Ÿ†
HumanEvalPython coding & logic synthesis
84.6%vs99.0%+14.4% GPT-5.2-Codex
Fugu Ultra
GPT-5.2-Codex ๐Ÿ†
MATHComplex mathematical problem solving
65.8%vs81.4%+15.6% GPT-5.2-Codex
Fugu Ultra
GPT-5.2-Codex ๐Ÿ†
GPQAGraduate-level expert reasoning
47.2%vs56.4%+9.2% GPT-5.2-Codex
Fugu Ultra
GPT-5.2-Codex ๐Ÿ†
HellaSwagCommonsense reasoning and inference
86.4%vs88.6%+2.2% GPT-5.2-Codex
Fugu Ultra
GPT-5.2-Codex ๐Ÿ†
MT-BenchMulti-turn conversation flow quality
8.9%vs9.5%+0.6% GPT-5.2-Codex
Fugu Ultra
GPT-5.2-Codex ๐Ÿ†

Fugu Ultra Quirks & Gotchas

No developer gotchas reported.

GPT-5.2-Codex Quirks & Gotchas

No developer gotchas reported.

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