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Superseded.Sakana AI has newer models in this line:Sakana Fugu-Ultra v1.1

Sakana Fugu-Ultra

SupersededReleased Jun 22, 2026ProprietaryReasoning1M context

Released Jun 22, 2026 see all recent releases

Decision reading
Sakana Fugu-Ultra is tracked, but not publicly ranked yet. The profile exposes 11 sourced benchmark rows and leaves unsupported fields blank until a published record exists.

Data as of August 13, 2026 · How the score is built

Strongest published evidence

Published rows are visible, but no category has enough eligible evidence for a comparative rank.

Validate before choosing

11 published rows leave some tracked benchmark slots empty. No comparable first-party API token rate is published.

Decision snapshot

Each value carries a field reference instead of floating alone. Markers compare this model with the current ranked and priced catalog; they are not absolute quality thresholds.

Capability

Unranked

field median 57.7

Not eligible for a public rank

Price

API rate not published

input median $1

No comparable first-party hosted token rate

Speed

Not measured

field median 93 tok/s

Time to first token not measured

Context

1Mtokens

field median 200,000

Reported for this model; direct source link not stored

How much of this is verified

Coverage is split by category so a strong number never hides a thin evidence base. Verified means the row is tied to a published source; provisional rows remain visible but separate.

  1. Agentic1/1 verified
  2. Coding5/5 verified
  3. Reasoning1/1 verified
  4. Knowledge3/3 verified
  5. MathNot measured
  6. MultilingualNot measured
  7. Multimodal1/1 verified
  8. Inst. FollowingNot measured
Verified sourceProvisionalNot measured

Spec sheet

Each documented value carries its source. Missing fields stay visible as not sourced or not published, rather than disappearing from the page.

API model ID
Not published
Context window
1M
Maximum output
Not sourced yet
Knowledge cutoff
Not sourced yet
Input modalities
Not sourced yet
Output modalities
Not sourced yet
Parameters
Not disclosed by the provider
Availability
Not sourced yet
Cloud regions
Not tracked yet
Lifecycle
Superseded
API capabilities
Tool calling, structured outputs, and batch support are not tracked yet
Prompt caching
Not documented in the pricing record
Self-host
Weights are not published
Rate limits
Not tracked yet

Category score record

Scores and ranks appear only where published evidence can be displayed. The table keeps the score, weight, cohort, and evidence state together.

Category scores, ranks, weighting, benchmark coverage, and evidence status
CategoryScore
AgenticRank Not rankedWeight 22%1 benchmarkVerified83.0
CodingRank Not rankedWeight 20%5 benchmarksVerified76.4
ReasoningRank Not rankedWeight 17%1 benchmarkVerified91.2
KnowledgeRank Not rankedWeight 12%3 benchmarksVerified83.6
MathWeight 5%0 benchmarksNot measuredNot measured
MultilingualWeight 7%0 benchmarksNot measuredNot measured
MultimodalRank Not rankedWeight 12%1 benchmarkVerified72.8
Inst. FollowingWeight 5%0 benchmarksNot measuredNot measured

Benchmark ledger

Coding opens by default. The marker compares each value with the best source-verified result in the catalog; provisional leaders do not set the reference. Expand the remaining categories for every published row.

Coding5 rows
Coding benchmark values, best verified comparison, weight, and source status
SciCodeScientific Code BenchmarkScore58.7%Versus best verified row

Best verified: Sakana Fugu · 60.1%

Gap1.4 behindWeightWeighted 16%
SWE-bench ProScore73.7%Versus best verified row

Best verified: Claude Mythos 5 · 80.3%

Gap6.6 behindWeightWeighted 10%
Terminal-Bench 2.0Score82.1%Versus best verified row

Best verified: GPT-5.6 Sol · 91.9%

Gap9.8 behindWeightDisplay only
LiveCodeBench v6Score93.2%Versus best verified row

Best verified: Sakana Fugu-Ultra · 93.2%

GapBest verifiedWeightDisplay only
LiveCodeBench ProScore90.8%Versus best verified row

Best verified: Sakana Fugu-Ultra · 90.8%

GapBest verifiedWeightDisplay only
Agentic1 row
Agentic benchmark values, best verified comparison, weight, and source status
Terminal-Bench 2.0Score82.1%Versus best verified row

Best verified: GPT-5.6 Sol · 91.9%

Gap9.8 behindWeightWeighted 38%
Reasoning1 row
Reasoning benchmark values, best verified comparison, weight, and source status
MRCRv2Score93.6%Versus best verified row

Best verified: Sakana Fugu-Ultra · 93.6%

GapBest verifiedWeightWeighted 31%
Knowledge3 rows
Knowledge benchmark values, best verified comparison, weight, and source status
GPQAGraduate-Level Google-Proof Q&AScore95.5%Versus best verified row

Best verified: Sakana Fugu-Ultra · 95.5%

GapBest verifiedWeightWeighted 7%
GPQA-DGPQA DiamondScore95.5%Versus best verified row

Best verified: Sakana Fugu-Ultra · 95.5%

GapBest verifiedWeightDisplay only
HLE w/o toolsHumanity's Last Exam without toolsScore50%Versus best verified row

Best verified: Claude Mythos 5 · 59%

Gap9 behindWeightDisplay only
Multimodal1 row
Multimodal benchmark values, best verified comparison, weight, and source status
CharXivCharXiv ReasoningScore86.6%Versus best verified row

Best verified: Claude Mythos 5 · 93.5%

Gap6.9 behindWeightWeighted 25%

Lineage

The sequence follows explicit supersedes links. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.

ultra · Ultra

How to read this profile

The visual layer above carries the decisions. These notes preserve the model, ranking, coverage, and family context behind the numbers.

We track Sakana Fugu-Ultra, but the public leaderboard excludes this profile until enough non-generated benchmark coverage is available. Only published rows appear above.

Sakana Fugu-Ultra is a proprietary model with a 1M context window. It uses an explicit reasoning mode, which can improve complex problem solving while adding latency and token use.

Official exact-value snapshot from Sakana AI's Fugu technical report. BenchLM maps only table rows with existing keys: SWE-Bench Pro, Terminal-Bench 2.1, LiveCodeBench v6, LiveCodeBench Pro, HLE no-tools, GPQA Diamond, SciCode, LCR, MRCRv2, and CharXiv Reasoning. Banking, AutoResearch, CAD, and bespoke qualitative tasks remain out of schema.

Sakana Fugu-Ultra sits in the Sakana Fugu family with Sakana Fugu, Fugu Cyber, Sakana Fugu-Ultra v1.1. 11 of 431 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.

Radar

Sakana Fugu-Ultra release history

Full release history

Frequently asked questions

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

Sakana Fugu-Ultra has 11 source-displayable benchmark rows, but it does not qualify for a public overall rank. The available rows remain visible by category without being converted into a site-wide score. Missing evidence stays blank instead of being estimated from an earlier model.

Is Sakana Fugu-Ultra good for knowledge and understanding?

Sakana Fugu-Ultra has source-displayable benchmark coverage for knowledge and understanding, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.

Is Sakana Fugu-Ultra good for coding and programming?

Sakana Fugu-Ultra has source-displayable benchmark coverage for coding and programming, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.

Is Sakana Fugu-Ultra good for reasoning and logic?

Sakana Fugu-Ultra has source-displayable benchmark coverage for reasoning and logic, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.

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

Sakana Fugu-Ultra has source-displayable benchmark coverage for agentic tool use and computer tasks, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.

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

Sakana Fugu-Ultra has source-displayable benchmark coverage for multimodal and grounded tasks, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.

Which sibling models are related to Sakana Fugu-Ultra?

Sakana Fugu-Ultra belongs to the Sakana Fugu family. Related tracked variants include Sakana Fugu, Fugu Cyber, Sakana Fugu-Ultra v1.1. A sibling link indicates shared lineage or a documented configuration relationship; it does not mean the variants have identical pricing, context limits, benchmark evidence, or deployment behavior. Compare before switching.

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

No. Sakana Fugu-Ultra currently has 11 source-displayable rows across 431 tracked benchmark slots. The profile exposes published, non-generated evidence and leaves missing categories blank until an exact evaluation is available. Coverage describes how much was measured; it is not a penalty added to an individual benchmark result.

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

Sakana Fugu-Ultra has a reported context window of 1M in the exact-model catalog record. The value stays visible, but the profile marks its source link as unavailable instead of presenting it as directly documented. Maximum output length remains separate because providers often publish a different limit.

Last updated August 13, 2026. Runtime fields remain blank until a sourced snapshot exists.

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