Model comparison

GPT-5.2 vs Sakana Fugu-Ultra

Data verified July 23, 2026

Head-to-head evidence from 3 shared benchmark results across 3 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

GPT-5.2

OpenAI

58.43/100

No comparison

Sakana Fugu-Ultra

Sakana AI

N/A

1 category wins4 category wins

Public leaderboard positions: GPT-5.2 #64 (Estimated); Sakana Fugu-Ultra unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. GPT-5.2 and Sakana Fugu-Ultra share 3 comparable benchmark results. 5 of 8 categories are comparable. 25 results are unique to GPT-5.2; 8 to Sakana Fugu-Ultra.

Updated July 23, 2026

Shared results: 3
GPT-5.2 only: 25
Sakana Fugu-Ultra only: 8
Comparable categories: 5 / 8

Treat this as a split decision. GPT-5.2 makes more sense if coding is the priority; Sakana Fugu-Ultra is the better fit if reasoning is the priority or you need the larger 1M context window.

Confidence note. This is a partial-evidence comparison with 3 shared benchmark results across 3 evidence categories; 5 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

GPT-5.2 and Sakana Fugu-Ultra finish on the same BenchAlign overall score, so this is less about a single winner and more about where the edge shows up. The BenchAlign headline says tie; the benchmark table is where the real choice happens.

Sakana Fugu-Ultra gives you the larger context window at 1M, compared with 400K for GPT-5.2.

Category breakdown

Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.

Category scores and score margins for GPT-5.2 and Sakana Fugu-Ultra
Category	GPT-5.2	Δ	Sakana Fugu-Ultra
Reasoning	GPT-5.252.9	Margin→ 40.7	Sakana Fugu-Ultra93.6
Agentic	GPT-5.255.7	Margin→ 26.4	Sakana Fugu-Ultra82.1
Multimodal	GPT-5.280.4	Margin→ 6.2	Sakana Fugu-Ultra86.6
Coding	GPT-5.270.6	Margin← 6.1	Sakana Fugu-Ultra64.5
Knowledge	GPT-5.292.4	Margin→ 3.1	Sakana Fugu-Ultra95.5
Math	GPT-5.235.2	MarginNo overlap	Sakana Fugu-UltraNot measured

Decisive benchmark drivers

The largest measured benchmark gaps in this matchup, with exact reported values.

A · GPT-5.2B · Sakana Fugu-Ultra

SWE-bench Pro
Coding
Source ↗
A 55.6%B 73.7%
Winner: Sakana Fugu-UltraΔ 18.1
SWE-bench Pro: GPT-5.2 scored 55.6%; Sakana Fugu-Ultra scored 73.7%. Sakana Fugu-Ultra wins this benchmark.
CharXiv
Multimodal
Source ↗
A 82.1%B 86.6%
Winner: Sakana Fugu-UltraΔ 4.5
CharXiv: GPT-5.2 scored 82.1%; Sakana Fugu-Ultra scored 86.6%. Sakana Fugu-Ultra wins this benchmark.
GPQA
Knowledge
Source ↗
A 92.4%B 95.5%
Winner: Sakana Fugu-UltraΔ 3.1
GPQA: GPT-5.2 scored 92.4%; Sakana Fugu-Ultra scored 95.5%. Sakana Fugu-Ultra wins this benchmark.

Operational comparison

Runtime and commercial metrics are compared only when both models have a complete sourced value.

Metric	GPT-5.2	Sakana Fugu-Ultra	Comparison
Input / output priceUSD per 1M tokens	GPT-5.2$1.75 input / $14 output	Sakana Fugu-UltraNot available	A complete price comparison is not available.
Generation speedtokens per second	GPT-5.273 tok/s	Sakana Fugu-UltraNot available	A complete speed comparison is not available.
First-answer latencyseconds to first token	GPT-5.2130.34 s	Sakana Fugu-UltraNot available	A complete latency comparison is not available.
Context windowmaximum listed tokens	GPT-5.2400K	Sakana Fugu-Ultra1M	Sakana Fugu-Ultra lists the larger context window.

Benchmark Deep Dive

AgenticSakana Fugu-Ultra wins

6 benchmarks

Benchmark	GPT-5.2	Sakana Fugu-Ultra	Result
BrowseCompSource	65.8%	—	Not comparable
OSWorld-VerifiedSource	47.3%	—	Not comparable
τ²-bench resultsSource	84.8%	—	Not comparable
Gert LabsSource	46.54%	—	Not comparable
JobBenchSource	34.3%	—	Not comparable
Terminal-Bench 2.0Source	—	82.1%	Not comparable

CodingGPT-5.2 wins

8 benchmarks

Benchmark	GPT-5.2	Sakana Fugu-Ultra	Result
SWE-bench VerifiedSource	80%	—	Not comparable
SWE-bench ProSource	55.6%	73.7%	Sakana Fugu-Ultra leads
Vibe Code BenchSource	53.50%	—	Not comparable
AA-SciCodeSource	52.1%	—	Not comparable
Terminal-Bench 2.0Source	—	82.1%	Not comparable
LiveCodeBench v6Source	—	93.2%	Not comparable
LiveCodeBench ProSource	—	90.8%	Not comparable
SciCodeSource	—	58.7%	Not comparable

ReasoningSakana Fugu-Ultra wins

4 benchmarks

Benchmark	GPT-5.2	Sakana Fugu-Ultra	Result
ARC-AGI-2Source	52.9%	—	Not comparable
AA-LCRSource	72.7%	—	Not comparable
CritPtSource	11.6%	—	Not comparable
MRCRv2Source	—	93.6%	Not comparable

KnowledgeSakana Fugu-Ultra wins

9 benchmarks

Benchmark	GPT-5.2	Sakana Fugu-Ultra	Result
GPQASource	92.4%	95.5%	Sakana Fugu-Ultra leads
Artificial Analysis Intelligence IndexSource	42.2%	—	Not comparable
AA-GPQA DiamondSource	90.3%	—	Not comparable
AA-HLESource	35.4%	—	Not comparable
AA-Omniscience IndexSource	-1.0%	—	Not comparable
AA-Omniscience AccuracySource	43.8%	—	Not comparable
AA-Omniscience Hallucination RateSource	79.7%	—	Not comparable
GPQA-DSource	—	95.5%	Not comparable
HLE w/o toolsSource	—	50%	Not comparable

Math

3 benchmarks

Benchmark	GPT-5.2	Sakana Fugu-Ultra	Result
AA AIME 2025Source	99.0%	—	Not comparable
FrontierMath v2 (Tiers 1-3)Source	40.700%	—	Not comparable
FrontierMath v2 (Tier 4)Source	18.800%	—	Not comparable

MultimodalSakana Fugu-Ultra wins

5 benchmarks

Benchmark	GPT-5.2	Sakana Fugu-Ultra	Result
MMMU-ProSource	79.5%	—	Not comparable
MathVisionSource	83.0%	—	Not comparable
CharXivSource	82.1%	86.6%	Sakana Fugu-Ultra leads
V*Source	75.9%	—	Not comparable
Design Arena WebsiteSource	1224	—	Not comparable

Inst. Following

1 benchmarks

Benchmark	GPT-5.2	Sakana Fugu-Ultra	Result
AA-IFBenchSource	75.4%	—	Not comparable

Frequently Asked Questions (6)

Which is better, GPT-5.2 or Sakana Fugu-Ultra?

GPT-5.2 and Sakana Fugu-Ultra are tied on the BenchAlign overall score, so the right pick depends on which category matters most for your use case.

Which is better for knowledge tasks, GPT-5.2 or Sakana Fugu-Ultra?

Sakana Fugu-Ultra has the edge for knowledge tasks in this comparison, averaging 95.5 versus 92.4. Inside this category, GPQA is the benchmark that creates the most daylight between them.

Which is better for coding, GPT-5.2 or Sakana Fugu-Ultra?

GPT-5.2 has the edge for coding in this comparison, averaging 70.6 versus 64.5. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.

Which is better for reasoning, GPT-5.2 or Sakana Fugu-Ultra?

Sakana Fugu-Ultra has the edge for reasoning in this comparison, averaging 93.6 versus 52.9. GPT-5.2 stays close enough that the answer can still flip depending on your workload.

Which is better for agentic tasks, GPT-5.2 or Sakana Fugu-Ultra?

Sakana Fugu-Ultra has the edge for agentic tasks in this comparison, averaging 82.1 versus 55.7. GPT-5.2 stays close enough that the answer can still flip depending on your workload.

Which is better for multimodal and grounded tasks, GPT-5.2 or Sakana Fugu-Ultra?

Sakana Fugu-Ultra has the edge for multimodal and grounded tasks in this comparison, averaging 86.6 versus 80.4. Inside this category, CharXiv is the benchmark that creates the most daylight between them.

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