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Model comparison

Grok 4.20 vs Sakana Fugu-Ultra

Data verified

Head-to-head evidence from 6 shared benchmark results across 4 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

54.68/100
No comparison
N/A
1 category wins3 category wins

Public leaderboard positions: Grok 4.20 #88 (Estimated); Sakana Fugu-Ultra unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Grok 4.20 and Sakana Fugu-Ultra share 6 comparable benchmark results. 4 of 8 categories are comparable. 12 results are unique to Grok 4.20; 5 to Sakana Fugu-Ultra.

Updated July 23, 2026
Shared results
6
Grok 4.20 only
12
Sakana Fugu-Ultra only
5
Comparable categories
4 / 8

Treat this as a split decision. Grok 4.20 makes more sense if coding is the priority or you need the larger 2M context window; Sakana Fugu-Ultra is the better fit if reasoning is the priority.

Confidence note. This is a partial-evidence comparison with 6 shared benchmark results across 4 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

Grok 4.20 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.

Grok 4.20 gives you the larger context window at 2M, compared with 1M for Sakana Fugu-Ultra.

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 4.20 and Sakana Fugu-Ultra
CategoryGrok 4.20ΔSakana Fugu-Ultra
ReasoningGrok 4.2053.3Margin→ 40.3Sakana Fugu-Ultra93.6
AgenticGrok 4.2047.1Margin→ 35.0Sakana Fugu-Ultra82.1
MultimodalGrok 4.2070.1Margin→ 16.5Sakana Fugu-Ultra86.6
CodingGrok 4.2067.1Margin← 2.6Sakana Fugu-Ultra64.5
KnowledgeGrok 4.20Not measuredMarginNo overlapSakana Fugu-Ultra95.5

Decisive benchmark drivers

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

More
A · Grok 4.20B · Sakana Fugu-Ultra

  1. Terminal-Bench 2.0

    Agentic
    Source ↗
    A 47.1%B 82.1%
    Winner: Sakana Fugu-UltraΔ 35
    Terminal-Bench 2.0: Grok 4.20 scored 47.1%; Sakana Fugu-Ultra scored 82.1%. Sakana Fugu-Ultra wins this benchmark.

  2. CharXiv

    Multimodal
    Source ↗
    A 60.9%B 86.6%
    Winner: Sakana Fugu-UltraΔ 25.7
    CharXiv: Grok 4.20 scored 60.9%; Sakana Fugu-Ultra scored 86.6%. Sakana Fugu-Ultra wins this benchmark.

  3. SWE-bench Pro

    Coding
    Source ↗
    A 51.8%B 73.7%
    Winner: Sakana Fugu-UltraΔ 21.9
    SWE-bench Pro: Grok 4.20 scored 51.8%; Sakana Fugu-Ultra scored 73.7%. Sakana Fugu-Ultra wins this benchmark.

Operational comparison

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

MetricGrok 4.20Sakana Fugu-UltraComparison
Input / output priceUSD per 1M tokensGrok 4.20$2 input / $6 outputSakana Fugu-UltraNot availableA complete price comparison is not available.
Generation speedtokens per secondGrok 4.20233 tok/sSakana Fugu-UltraNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenGrok 4.2010.33 sSakana Fugu-UltraNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensGrok 4.202MSakana Fugu-Ultra1MGrok 4.20 lists the larger context window.

Benchmark Deep Dive

AgenticSakana Fugu-Ultra wins
BenchmarkGrok 4.20Sakana Fugu-UltraResult
Terminal-Bench 2.0Source 47.1%82.1%Sakana Fugu-Ultra leads
DeepSearchQASource 62.8%—Not comparable
Gert LabsSource 38.36%—Not comparable
CodingGrok 4.20 wins
BenchmarkGrok 4.20Sakana Fugu-UltraResult
LiveCodeBench ProSource 74.2%90.8%Sakana Fugu-Ultra leads
SWE-bench VerifiedSource 76.7%—Not comparable
SWE-bench ProSource 51.8%73.7%Sakana Fugu-Ultra leads
Vibe Code BenchSource 4.06%—Not comparable
Terminal-Bench 2.0Source —82.1%Not comparable
LiveCodeBench v6Source —93.2%Not comparable
SciCodeSource —58.7%Not comparable
ReasoningSakana Fugu-Ultra wins
BenchmarkGrok 4.20Sakana Fugu-UltraResult
ARC-AGI-2Source 53.3%—Not comparable
MRCRv2Source —93.6%Not comparable
Knowledge
BenchmarkGrok 4.20Sakana Fugu-UltraResult
GPQA-DSource 88.5%95.5%Sakana Fugu-Ultra leads
HLE w/o toolsSource 31.6%50%Sakana Fugu-Ultra leads
HealthBench HardSource 20.3%—Not comparable
MedXpertQA (Text)Source 50.2%—Not comparable
GPQASource —95.5%Not comparable
MultimodalSakana Fugu-Ultra wins
BenchmarkGrok 4.20Sakana Fugu-UltraResult
MMMU-ProSource 75.2%—Not comparable
CharXivSource 60.9%86.6%Sakana Fugu-Ultra leads
ERQASource 54.1%—Not comparable
SimpleVQASource 57.4%—Not comparable
MedXpertQA (MM)Source 65.8%—Not comparable
Design Arena WebsiteSource 1257—Not comparable
Frequently Asked Questions (5)

Which is better, Grok 4.20 or Sakana Fugu-Ultra?

Grok 4.20 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 coding, Grok 4.20 or Sakana Fugu-Ultra?

Grok 4.20 has the edge for coding in this comparison, averaging 67.1 versus 64.5. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.

Which is better for reasoning, Grok 4.20 or Sakana Fugu-Ultra?

Sakana Fugu-Ultra has the edge for reasoning in this comparison, averaging 93.6 versus 53.3. Grok 4.20 stays close enough that the answer can still flip depending on your workload.

Which is better for agentic tasks, Grok 4.20 or Sakana Fugu-Ultra?

Sakana Fugu-Ultra has the edge for agentic tasks in this comparison, averaging 82.1 versus 47.1. 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, Grok 4.20 or Sakana Fugu-Ultra?

Sakana Fugu-Ultra has the edge for multimodal and grounded tasks in this comparison, averaging 86.6 versus 70.1. Inside this category, CharXiv is the benchmark that creates the most daylight between them.

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Last updated: July 23, 2026

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