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Model comparison

Claude 3.5 Sonnet vs Sakana Fugu-Ultra

Data verified

Head-to-head evidence from 1 shared benchmark result across 1 category. Overall scores shown here use the public BenchAlign v5 ranking lane.

47.74/100
No comparison
N/A
0 category wins2 category wins

Public leaderboard positions: Claude 3.5 Sonnet #132 (Estimated); Sakana Fugu-Ultra unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Claude 3.5 Sonnet and Sakana Fugu-Ultra share 1 comparable benchmark result. 2 of 8 categories are comparable. 3 results are unique to Claude 3.5 Sonnet; 10 to Sakana Fugu-Ultra.

Updated July 23, 2026
Shared results
1
Claude 3.5 Sonnet only
3
Sakana Fugu-Ultra only
10
Comparable categories
2 / 8

Treat this as a split decision. Claude 3.5 Sonnet makes more sense if you would rather avoid the extra latency and token burn of a reasoning model; Sakana Fugu-Ultra is the better fit if knowledge is the priority or you need the larger 1M context window.

Confidence note. This is a partial-evidence comparison with 1 shared benchmark result across 1 evidence category; 2 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

Claude 3.5 Sonnet 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 is the reasoning model in the pair, while Claude 3.5 Sonnet is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. Sakana Fugu-Ultra gives you the larger context window at 1M, compared with 200K for Claude 3.5 Sonnet.

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 Claude 3.5 Sonnet and Sakana Fugu-Ultra
CategoryClaude 3.5 SonnetΔSakana Fugu-Ultra
KnowledgeClaude 3.5 Sonnet59.4Margin→ 36.1Sakana Fugu-Ultra95.5
CodingClaude 3.5 Sonnet49.0Margin→ 15.5Sakana Fugu-Ultra64.5
AgenticClaude 3.5 SonnetNot measuredMarginNo overlapSakana Fugu-Ultra82.1
ReasoningClaude 3.5 SonnetNot measuredMarginNo overlapSakana Fugu-Ultra93.6
MathClaude 3.5 Sonnet1.6MarginNo overlapSakana Fugu-UltraNot measured
MultimodalClaude 3.5 SonnetNot measuredMarginNo overlapSakana Fugu-Ultra86.6

Decisive benchmark drivers

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

More
A · Claude 3.5 SonnetB · Sakana Fugu-Ultra

  1. GPQA

    Knowledge
    Source ↗
    A 59.4%B 95.5%
    Winner: Sakana Fugu-UltraΔ 36.1
    GPQA: Claude 3.5 Sonnet scored 59.4%; 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.

MetricClaude 3.5 SonnetSakana Fugu-UltraComparison
Input / output priceUSD per 1M tokensClaude 3.5 Sonnet$3 input / $15 outputSakana Fugu-UltraNot availableA complete price comparison is not available.
Generation speedtokens per secondClaude 3.5 SonnetNot availableSakana Fugu-UltraNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenClaude 3.5 SonnetNot availableSakana Fugu-UltraNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensClaude 3.5 Sonnet200KSakana Fugu-Ultra1MSakana Fugu-Ultra lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkClaude 3.5 SonnetSakana Fugu-UltraResult
Terminal-Bench 2.0Source —82.1%Not comparable
CodingSakana Fugu-Ultra wins
BenchmarkClaude 3.5 SonnetSakana Fugu-UltraResult
SWE-bench VerifiedSource 49%—Not comparable
SWE-bench ProSource —73.7%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
Reasoning
BenchmarkClaude 3.5 SonnetSakana Fugu-UltraResult
MRCRv2Source —93.6%Not comparable
KnowledgeSakana Fugu-Ultra wins
BenchmarkClaude 3.5 SonnetSakana Fugu-UltraResult
GPQASource 59.4%95.5%Sakana Fugu-Ultra leads
GPQA-DSource —95.5%Not comparable
HLE w/o toolsSource —50%Not comparable
Math
BenchmarkClaude 3.5 SonnetSakana Fugu-UltraResult
FrontierMath v2 (Tiers 1-3)Source 2.069%—Not comparable
FrontierMath v2 (Tier 4)Source 0.000%—Not comparable
Multimodal
BenchmarkClaude 3.5 SonnetSakana Fugu-UltraResult
CharXivSource —86.6%Not comparable
Frequently Asked Questions (3)

Which is better, Claude 3.5 Sonnet or Sakana Fugu-Ultra?

Claude 3.5 Sonnet 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, Claude 3.5 Sonnet or Sakana Fugu-Ultra?

Sakana Fugu-Ultra has the edge for knowledge tasks in this comparison, averaging 95.5 versus 59.4. Inside this category, GPQA is the benchmark that creates the most daylight between them.

Which is better for coding, Claude 3.5 Sonnet or Sakana Fugu-Ultra?

Sakana Fugu-Ultra has the edge for coding in this comparison, averaging 64.5 versus 49. Claude 3.5 Sonnet stays close enough that the answer can still flip depending on your workload.

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