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Model profile

Sakana Fugu-Ultra

Sakana AICurrentReleased Jun 22, 2026
Data verified
Overall Score
Unranked
Arena Elo
Not listed
Eligible category ranks
0of 8
Price (1M tokens)
Not listedAPI pricing
Speed
Not listed
Context
1M

Evidence coverage

11 of 323 tracked benchmarks are published. 11 are verified and 0 provisional. 5 of 8 categories are measured.

Updated July 23, 2026Methodology
Published / tracked
11 / 323
Verified
11
Provisional
0
Categories with evidence
5 / 8

Evidence by category

  • Agentic1 benchmark
    Verified
  • Coding5 benchmarks
    Verified
  • Reasoning1 benchmark
    Verified
  • Knowledge3 benchmarks
    Verified
  • Math0 benchmarks
    Not measured
  • Multilingual0 benchmarks
    Not measured
  • Multimodal1 benchmark
    Verified
  • Inst. Following0 benchmarks
    Not measured
ProprietaryReasoning
Confidence:
Medium
ultra

BenchLM is tracking Sakana Fugu-Ultra, but this profile is currently excluded from the public leaderboard because it still lacks enough non-generated benchmark coverage to rank safely. Only non-generated public benchmark rows appear below.

Sakana Fugu-Ultra is a proprietary model with a 1M token context window. It uses explicit chain-of-thought reasoning, which typically improves performance on math and complex reasoning tasks at the cost of higher latency and token usage.

Sakana Fugu-Ultra sits inside the Sakana Fugu family alongside Sakana Fugu, Fugu Cyber. This profile currently has 11 of 323 tracked benchmarks. BenchLM only exposes non-generated benchmark rows publicly, so missing categories stay blank until a sourced evaluation is available.

Peer position

Exact provisional scores and ranks for the closest listed peers. A score can appear before a model clears the evidence threshold for a rank, so equal scores can have different rank states.

Range 77.4483.93

  1. Claude Mythos 5
    Anthropic
    #183.93
    Claude Mythos 5 is #1 with a score of 83.93.
    Compare
  2. Claude Fable 5
    Anthropic
    #283.68
    Claude Fable 5 is #2 with a score of 83.68.
    Compare
  3. GPT-5.6 Sol
    OpenAI
    #381.96
    GPT-5.6 Sol is #3 with a score of 81.96.
    Compare
  4. Kimi K3
    Moonshot AI
    #480.96
    Kimi K3 is #4 with a score of 80.96.
    Compare
  5. Claude Opus 4.8
    Anthropic
    #578.34
    Claude Opus 4.8 is #5 with a score of 78.34.
    Compare
  6. Muse Spark 1.1
    Meta
    #677.44
    Muse Spark 1.1 is #6 with a score of 77.44.
    Compare
  7. Sakana Fugu-UltraCurrent model
    Sakana AI
    UnrankedNot measured
    Sakana Fugu-Ultra is Unranked with a score of Not measured.

Category percentile

More

Relative position among models eligible for each sourced category. A higher percentile means a stronger position within that category's ranked cohort; 100 is highest.

No eligible category percentile is available from the published evidence yet.

Category evidence

Scores and ranks appear only where this model has published benchmark evidence. Categories without displayable source records remain not measured.

Category scores, ranks, weighting, benchmark coverage, and evidence status
CategoryScore
AgenticRank Not rankedWeight 22%1 benchmarkVerified82.7
CodingRank Not rankedWeight 20%5 benchmarksVerified81.5
ReasoningRank Not rankedWeight 17%1 benchmarkVerified89.5
KnowledgeRank Not rankedWeight 12%3 benchmarksVerified83.2
MathWeight 5%0 benchmarksNot measuredNot measured
MultilingualWeight 7%0 benchmarksNot measuredNot measured
MultimodalRank Not rankedWeight 12%1 benchmarkVerified75.4
Inst. FollowingWeight 5%0 benchmarksNot measuredNot measured

Benchmark Details

Rows below have a displayable published verification record. Each source link and provenance note remains in the page HTML while its category is closed. Source-unverified manual rows and generated rows stay hidden.

Agentic1 benchmark
Terminal-Bench 2.0Provider exact
82.1%Weighted 38%
Source: Sakana Fugu technical reportProvenance: Sakana reports Fugu-Ultra at 82.1% on Terminal Bench 2.1.
Coding5 benchmarks
SciCodeProvider exact

Scientific Code Benchmark

58.7%Weighted 16%
Source: Sakana Fugu technical reportProvenance: Sakana reports Fugu-Ultra at 58.7% on SciCode.
SWE-bench ProProvider exact
73.7%Weighted 10%
Source: Sakana Fugu technical reportProvenance: Sakana reports Fugu-Ultra at 73.7% on SWE Bench Pro.
Terminal-Bench 2.0Provider exact
82.1%Display only
Source: Sakana Fugu technical reportProvenance: Sakana reports Fugu-Ultra at 82.1% on Terminal Bench 2.1.
LiveCodeBench v6Provider exact
93.2%Display only
Source: Sakana Fugu technical reportProvenance: Sakana reports Fugu-Ultra at 93.2% on LiveCodeBench v6.
LiveCodeBench ProProvider exact
90.8%Display only
Source: Sakana Fugu technical reportProvenance: Sakana reports Fugu-Ultra at 90.8% on LiveCodeBench Pro.
Reasoning1 benchmark
MRCRv2Provider exact
93.6%Weighted 31%
Source: Sakana Fugu technical reportProvenance: Sakana reports Fugu-Ultra at 93.6% on MRCRv2.
Knowledge3 benchmarks
GPQAProvider exact

Graduate-Level Google-Proof Q&A

95.5%Weighted 7%
Source: Sakana Fugu technical reportProvenance: Sakana reports Fugu-Ultra at 95.5% on GPQA Diamond. BenchLM stores the exact value on both GPQA and GPQA-Diamond for comparison consistency.
GPQA-DProvider exact

GPQA Diamond

95.5%Display only
Source: Sakana Fugu technical reportProvenance: Sakana reports Fugu-Ultra at 95.5% on GPQA Diamond.
HLE w/o toolsProvider exact

Humanity's Last Exam without tools

50%Display only
Source: Sakana Fugu technical reportProvenance: Sakana reports Fugu-Ultra at 50.0% on Humanity’s Last Exam without tools.
Multimodal1 benchmark
CharXivProvider exact

CharXiv Reasoning

86.6%Weighted 25%
Source: Sakana Fugu technical reportProvenance: Sakana reports Fugu-Ultra at 86.6% on CharXiv Reasoning.

Sakana Fugu Family

ultra · Ultra

Canonical Entry

Sakana Fugu

Frequently Asked Questions

How does Sakana Fugu-Ultra perform overall in AI benchmarks?

Sakana Fugu-Ultra has 11 published benchmark scores on BenchLM, but it does not yet have enough non-generated coverage to receive a global overall rank.

Is Sakana Fugu-Ultra good for knowledge and understanding?

Sakana Fugu-Ultra has visible benchmark coverage in knowledge and understanding, but BenchLM does not currently assign it a global category rank there.

Is Sakana Fugu-Ultra good for coding and programming?

Sakana Fugu-Ultra has visible benchmark coverage in coding and programming, but BenchLM does not currently assign it a global category rank there.

Is Sakana Fugu-Ultra good for reasoning and logic?

Sakana Fugu-Ultra has visible benchmark coverage in reasoning and logic, but BenchLM does not currently assign it a global category rank there.

Is Sakana Fugu-Ultra good for agentic tool use and computer tasks?

Sakana Fugu-Ultra has visible benchmark coverage in agentic tool use and computer tasks, but BenchLM does not currently assign it a global category rank there.

Is Sakana Fugu-Ultra good for multimodal and grounded tasks?

Sakana Fugu-Ultra has visible benchmark coverage in multimodal and grounded tasks, but BenchLM does not currently assign it a global category rank there.

Which sibling models are related to Sakana Fugu-Ultra?

Sakana Fugu-Ultra belongs to the Sakana Fugu family. Related variants on BenchLM include Sakana Fugu, Fugu Cyber.

Does Sakana Fugu-Ultra have full benchmark coverage on BenchLM?

Not yet. Sakana Fugu-Ultra currently has 11 published benchmark scores out of the 323 benchmarks BenchLM tracks. BenchLM only exposes non-generated public benchmark rows, so missing categories stay blank until a sourced evaluation is available.

What is the context window size of Sakana Fugu-Ultra?

Sakana Fugu-Ultra has a published context window of 1M, which determines how much text it can process in a single interaction.

Last updated: July 23, 2026 · Runtime metrics stay blank until BenchLM has a sourced snapshot.

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