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Model comparison

Grok 4.3 vs Sakana Fugu-Ultra

Data verified

Head-to-head evidence from 2 shared benchmark results across 2 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

65.1/100
No comparison
N/A
0 category wins3 category wins

Public leaderboard positions: Grok 4.3 #31 (Supported); Sakana Fugu-Ultra unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Grok 4.3 and Sakana Fugu-Ultra share 2 comparable benchmark results. 3 of 8 categories are comparable. 23 results are unique to Grok 4.3; 9 to Sakana Fugu-Ultra.

Updated July 23, 2026
Shared results
2
Grok 4.3 only
23
Sakana Fugu-Ultra only
9
Comparable categories
3 / 8

Treat this as a split decision. Grok 4.3 makes more sense if its workflow fits your team better; Sakana Fugu-Ultra is the better fit if knowledge is the priority.

Confidence note. This is a partial-evidence comparison with 2 shared benchmark results across 2 evidence categories; 3 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

Grok 4.3 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.

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 Grok 4.3 and Sakana Fugu-Ultra
CategoryGrok 4.3ΔSakana Fugu-Ultra
KnowledgeGrok 4.342.4Margin→ 53.1Sakana Fugu-Ultra95.5
CodingGrok 4.347.3Margin→ 17.2Sakana Fugu-Ultra64.5
MultimodalGrok 4.378.1Margin→ 8.5Sakana Fugu-Ultra86.6
AgenticGrok 4.3Not measuredMarginNo overlapSakana Fugu-Ultra82.1
ReasoningGrok 4.3Not measuredMarginNo overlapSakana Fugu-Ultra93.6
Inst. FollowingGrok 4.381.3MarginNo overlapSakana Fugu-UltraNot measured

Decisive benchmark drivers

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

More
A · Grok 4.3B · Sakana Fugu-Ultra

  1. SciCode

    Coding
    Source ↗
    A 47.3%B 58.7%
    Winner: Sakana Fugu-UltraΔ 11.4
    SciCode: Grok 4.3 scored 47.3%; Sakana Fugu-Ultra scored 58.7%. Sakana Fugu-Ultra wins this benchmark.

  2. GPQA

    Knowledge
    Source ↗
    A 90.1%B 95.5%
    Winner: Sakana Fugu-UltraΔ 5.4
    GPQA: Grok 4.3 scored 90.1%; 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.

MetricGrok 4.3Sakana Fugu-UltraComparison
Input / output priceUSD per 1M tokensGrok 4.3$1.25 input / $2.5 outputSakana Fugu-UltraNot availableA complete price comparison is not available.
Generation speedtokens per secondGrok 4.3209 tok/sSakana Fugu-UltraNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenGrok 4.312.36 sSakana Fugu-UltraNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensGrok 4.31MSakana Fugu-Ultra1MListed context windows are equal.

Benchmark Deep Dive

Agentic
BenchmarkGrok 4.3Sakana Fugu-UltraResult
τ²-bench resultsSource 97.7%—Not comparable
GDPval-AASource 29.2%—Not comparable
AA Agentic IndexSource 24.1%—Not comparable
APEX-Agents-AASource 17.0%—Not comparable
GDPval-AASource 1085—Not comparable
Gert LabsSource 43.86%—Not comparable
ResearchClawBenchSource 12.4%—Not comparable
Terminal-Bench 2.0Source —82.1%Not comparable
CodingSakana Fugu-Ultra wins
BenchmarkGrok 4.3Sakana Fugu-UltraResult
SciCodeSource 47.3%58.7%Sakana Fugu-Ultra leads
AA Coding IndexSource 42.3%—Not comparable
AA-SciCodeSource 47.3%—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
Reasoning
BenchmarkGrok 4.3Sakana Fugu-UltraResult
AA-LCRSource 64.3%—Not comparable
CritPtSource 8.0%—Not comparable
MRCRv2Source —93.6%Not comparable
KnowledgeSakana Fugu-Ultra wins
BenchmarkGrok 4.3Sakana Fugu-UltraResult
Artificial Analysis Intelligence IndexSource 37.6%—Not comparable
GPQASource 90.1%95.5%Sakana Fugu-Ultra leads
HLESource 35%—Not comparable
AA-Omniscience AccuracySource 34.6%—Not comparable
AA-Omniscience Hallucination RateSource 25.0%—Not comparable
AA-GPQA DiamondSource 90.1%—Not comparable
AA-HLESource 35.0%—Not comparable
AA-Omniscience IndexSource 18.3%—Not comparable
GPQA-DSource —95.5%Not comparable
HLE w/o toolsSource —50%Not comparable
MultimodalSakana Fugu-Ultra wins
BenchmarkGrok 4.3Sakana Fugu-UltraResult
MMMU-ProSource 78.1%—Not comparable
Design Arena WebsiteSource 1225—Not comparable
AA-MMMU-ProSource 78.1%—Not comparable
CharXivSource —86.6%Not comparable
Inst. Following
BenchmarkGrok 4.3Sakana Fugu-UltraResult
IFBenchSource 81.3%—Not comparable
AA-IFBenchSource 81.3%—Not comparable
Frequently Asked Questions (4)

Which is better, Grok 4.3 or Sakana Fugu-Ultra?

Grok 4.3 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, Grok 4.3 or Sakana Fugu-Ultra?

Sakana Fugu-Ultra has the edge for knowledge tasks in this comparison, averaging 95.5 versus 42.4. Inside this category, GPQA is the benchmark that creates the most daylight between them.

Which is better for coding, Grok 4.3 or Sakana Fugu-Ultra?

Sakana Fugu-Ultra has the edge for coding in this comparison, averaging 64.5 versus 47.3. Inside this category, SciCode is the benchmark that creates the most daylight between them.

Which is better for multimodal and grounded tasks, Grok 4.3 or Sakana Fugu-Ultra?

Sakana Fugu-Ultra has the edge for multimodal and grounded tasks in this comparison, averaging 86.6 versus 78.1. Grok 4.3 stays close enough that the answer can still flip depending on your workload.

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Last updated: July 23, 2026

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