Model comparison

GPT-5.6 Sol vs Sakana Fugu

Data verified July 23, 2026

Head-to-head evidence from 5 shared benchmark results across 3 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

GPT-5.6 Sol

OpenAI

81.96/100

No comparison

Sakana Fugu

Sakana AI

N/A

2 category wins2 category wins

Public leaderboard positions: GPT-5.6 Sol #3 (Supported); Sakana Fugu unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. GPT-5.6 Sol and Sakana Fugu share 5 comparable benchmark results. 4 of 8 categories are comparable. 41 results are unique to GPT-5.6 Sol; 6 to Sakana Fugu.

Updated July 23, 2026

Shared results: 5
GPT-5.6 Sol only: 41
Sakana Fugu only: 6
Comparable categories: 4 / 8

Treat this as a split decision. GPT-5.6 Sol makes more sense if agentic is the priority; Sakana Fugu is the better fit if multimodal & grounded is the priority.

Confidence note. This is a partial-evidence comparison with 5 shared benchmark results across 3 evidence categories; 4 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

GPT-5.6 Sol and Sakana Fugu 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.

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-5.6 Sol and Sakana Fugu
Category	GPT-5.6 Sol	Δ	Sakana Fugu
Agentic	GPT-5.6 Sol92.0	Margin← 11.8	Sakana Fugu80.2
Coding	GPT-5.6 Sol64.6	Margin← 4.9	Sakana Fugu59.7
Multimodal	GPT-5.6 Sol83.0	Margin→ 2.1	Sakana Fugu85.1
Knowledge	GPT-5.6 Sol94.6	Margin→ 0.9	Sakana Fugu95.5
Reasoning	GPT-5.6 SolNot measured	MarginNo overlap	Sakana Fugu86.6
Math	GPT-5.6 Sol87.5	MarginNo overlap	Sakana FuguNot measured

Decisive benchmark drivers

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

A · GPT-5.6 SolB · Sakana Fugu

Terminal-Bench 2.0
Agentic
Source ↗
A 91.9%B 80.2%
Winner: GPT-5.6 SolΔ 11.7
Terminal-Bench 2.0: GPT-5.6 Sol scored 91.9%; Sakana Fugu scored 80.2%. GPT-5.6 Sol wins this benchmark.
SWE-bench Pro
Coding
Source ↗
A 64.6%B 59%
Winner: GPT-5.6 SolΔ 5.6
SWE-bench Pro: GPT-5.6 Sol scored 64.6%; Sakana Fugu scored 59%. GPT-5.6 Sol wins this benchmark.
GPQA
Knowledge
Source ↗
A 94.6%B 95.5%
Winner: Sakana FuguΔ 0.9
GPQA: GPT-5.6 Sol scored 94.6%; Sakana Fugu scored 95.5%. Sakana Fugu wins this benchmark.

Operational comparison

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

Metric	GPT-5.6 Sol	Sakana Fugu	Comparison
Input / output priceUSD per 1M tokens	GPT-5.6 Sol$5 input / $30 output	Sakana FuguNot available	A complete price comparison is not available.
Generation speedtokens per second	GPT-5.6 SolNot available	Sakana FuguNot available	A complete speed comparison is not available.
First-answer latencyseconds to first token	GPT-5.6 SolNot available	Sakana FuguNot available	A complete latency comparison is not available.
Context windowmaximum listed tokens	GPT-5.6 Sol1M	Sakana Fugu1M	Listed context windows are equal.

Benchmark Deep Dive

AgenticGPT-5.6 Sol wins

17 benchmarks

Benchmark	GPT-5.6 Sol	Sakana Fugu	Result
Terminal-Bench 2.0Source	91.9%	80.2%	GPT-5.6 Sol leads
BrowseCompSource	92.2%	—	Not comparable
OSWorld 2.0Source	62.6%	—	Not comparable
CyberGymSource	84.5%	—	Not comparable
ExploitGymSource	33.7%	—	Not comparable
ToolathlonSource	58%	—	Not comparable
AA Agentic IndexSource	54.0%	—	Not comparable
τ²-bench resultsSource	85.1%	—	Not comparable
GDPval-AASource	61.8%	—	Not comparable
GDPval-AASource	1736	—	Not comparable
AA BriefcaseSource	1501	—	Not comparable
AA ITBenchSource	56.2%	—	Not comparable
AA Tau3 BankingSource	33.0%	—	Not comparable
AA AutomationBenchSource	51.2%	—	Not comparable
AA Harvey LABSource	87.2%	—	Not comparable
terminalBenchHardSource	65.9%	—	Not comparable
aaTerminalBench21Source	88%	—	Not comparable

CodingGPT-5.6 Sol wins

11 benchmarks

Benchmark	GPT-5.6 Sol	Sakana Fugu	Result
SWE-bench ProSource	64.6%	59%	GPT-5.6 Sol leads
Terminal-Bench 2.0Source	91.9%	80.2%	GPT-5.6 Sol leads
deepSweSource	72.7%	—	Not comparable
FrontierCode 1.1 ExtendedSource	60.6%	—	Not comparable
cursorBench32Source	67.2%	—	Not comparable
VulcanBench v3Source	87.0%	—	Not comparable
AA Coding IndexSource	77.4%	—	Not comparable
AA-SciCodeSource	56.1%	—	Not comparable
LiveCodeBench v6Source	—	92.9%	Not comparable
LiveCodeBench ProSource	—	87.8%	Not comparable
SciCodeSource	—	60.1%	Not comparable

Reasoning

5 benchmarks

Benchmark	GPT-5.6 Sol	Sakana Fugu	Result
ARC-AGI-3Source	7.8%	—	Not comparable
GeneBench-ProSource	28.7%	—	Not comparable
AA-LCRSource	73.7%	—	Not comparable
CritPtSource	32.3%	—	Not comparable
MRCRv2Source	—	86.6%	Not comparable

KnowledgeSakana Fugu wins

11 benchmarks

Benchmark	GPT-5.6 Sol	Sakana Fugu	Result
GPQASource	94.6%	95.5%	Sakana Fugu leads
GPQA-DSource	94.6%	95.5%	Sakana Fugu leads
HealthBench ProfessionalSource	60.5%	—	Not comparable
HealthBench HardSource	33.1%	—	Not comparable
Artificial Analysis Intelligence IndexSource	58.9%	—	Not comparable
AA-GPQA DiamondSource	94.1%	—	Not comparable
AA-HLESource	47.2%	—	Not comparable
AA-Omniscience IndexSource	21.7%	—	Not comparable
AA-Omniscience AccuracySource	58.5%	—	Not comparable
AA-Omniscience Hallucination RateSource	88.8%	—	Not comparable
HLE w/o toolsSource	—	47.2%	Not comparable

Math

3 benchmarks

Benchmark	GPT-5.6 Sol	Sakana Fugu	Result
FrontierMath (legacy)Source	89%	—	Not comparable
FrontierMath v2 (Tiers 1-3)Source	89.000%	—	Not comparable
FrontierMath v2 (Tier 4)Source	83.000%	—	Not comparable

MultimodalSakana Fugu wins

4 benchmarks

Benchmark	GPT-5.6 Sol	Sakana Fugu	Result
MMMU-ProSource	83%	—	Not comparable
MMMU-Pro w/ PythonSource	84.6%	—	Not comparable
AA-MMMU-ProSource	83.4%	—	Not comparable
CharXivSource	—	85.1%	Not comparable

Inst. Following

1 benchmarks

Benchmark	GPT-5.6 Sol	Sakana Fugu	Result
AA-IFBenchSource	72.7%	—	Not comparable

Frequently Asked Questions (5)

Which is better, GPT-5.6 Sol or Sakana Fugu?

GPT-5.6 Sol and Sakana Fugu 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-5.6 Sol or Sakana Fugu?

Sakana Fugu has the edge for knowledge tasks in this comparison, averaging 95.5 versus 94.6. Inside this category, GPQA is the benchmark that creates the most daylight between them.

Which is better for coding, GPT-5.6 Sol or Sakana Fugu?

GPT-5.6 Sol has the edge for coding in this comparison, averaging 64.6 versus 59.7. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.

Which is better for agentic tasks, GPT-5.6 Sol or Sakana Fugu?

GPT-5.6 Sol has the edge for agentic tasks in this comparison, averaging 92 versus 80.2. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.

Which is better for multimodal and grounded tasks, GPT-5.6 Sol or Sakana Fugu?

Sakana Fugu has the edge for multimodal and grounded tasks in this comparison, averaging 85.1 versus 83. GPT-5.6 Sol stays close enough that the answer can still flip depending on your workload.

Related Comparisons

Explore More

OpenAI Compare Pricing Methodology Find Your Best LLM Overall Rankings

Last updated: July 23, 2026

Choose a model with this week’s evidence

Join 2,000+ readers for ranking moves, pricing changes, and the claims that still need proof.

One email each week. Unsubscribe anytime.