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Data

Data as of November 12, 2026 · How the score is built

Superseded.Sakana AI has newer models in this line:Sakana Fugu-Ultra v1.1

Sakana Fugu-Ultra

SupersededProprietaryReasoning

Decision readingSakana 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.

Email me when its price, rank or availability changes.

Capability

Unranked

field median 49.4Not eligible for a public rank

Price

API rate not published

input median $0.60No comparable first-party hosted token rate

Speed

Not measured

field median 92 tok/sTime to first token not measured

Context

1Mtokens

field median 256,000Reported for this model; direct source link not stored

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.

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.

Source-linked · 11 displayable benchmark rows

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
AgenticWeight 22%1 benchmarkVerified
Score pending
CodingRank Not rankedWeight 20%5 benchmarksVerified
78.0
ReasoningRank Not rankedWeight 17%1 benchmarkVerified
81.9
MultimodalRank Not rankedWeight 12%1 benchmarkVerified
74.4
KnowledgeRank Not rankedWeight 12%3 benchmarksVerified
77.1
MultilingualWeight 7%0 benchmarksNot measured
Not measured
Inst. FollowingWeight 5%0 benchmarksNot measured
Not measured
MathWeight 5%0 benchmarksNot measured
Not measured

11 of 906 tracked benchmark slots have displayable evidence · bars run 0–100

Coverage details

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. Multimodal1/1 verified
  5. Knowledge3/3 verified
  6. MultilingualNot measured
  7. Inst. FollowingNot measured
  8. MathNot measured
Verified sourceProvisionalNot measured

Benchmark ledger

Every result says who ran the test. For this model, Sakana AI ran all 11. Coding opens by default. The tick marks the best source-verified result in the catalog; provisional leaders do not set the reference.

Overall rank
Not ranked yet
No benchmark-run or independent results yet
Reported by Sakana AI
11
Shown with that label
Run by a benchmark
0
None yet
Independent runs
0
None yet
Coding5 rows
Coding benchmark results, best verified comparison, who ran each test, and whether it counts toward a rank
SWE-bench Pro73.7%

Best verified: Claude Fable 5.2 · 93%

Gap19.3 behindReported by Sakana AIWeighted benchmark26% ref. weight
SciCodeScientific Code Benchmark58.7%

Best verified: Sakana Fugu · 60.1%

Gap1.4 behindReported by Sakana AIWeighted benchmark10% ref. weight
Terminal-Bench 2.182.1%

Best verified: SWE-2 · 92.8%

Gap10.7 behindReported by Sakana AIWeighted benchmarkScored in Agentic
LiveCodeBench v693.2%

Best verified: Sakana Fugu-Ultra · 93.2%

GapHighest listedReported by Sakana AIShown only
LiveCodeBench Pro90.8%

Best verified: Sakana Fugu-Ultra · 90.8%

GapHighest listedReported by Sakana AIShown only
Agentic1 row
Agentic benchmark results, best verified comparison, who ran each test, and whether it counts toward a rank
Terminal-Bench 2.182.1%

Best verified: SWE-2 · 92.8%

Gap10.7 behindReported by Sakana AIWeighted benchmark9% ref. weight
Reasoning1 row
Reasoning benchmark results, best verified comparison, who ran each test, and whether it counts toward a rank
MRCRv293.6%

Best verified: Sakana Fugu-Ultra · 93.6%

GapHighest listedReported by Sakana AIWeighted benchmark20% ref. weight
Multimodal1 row
Multimodal benchmark results, best verified comparison, who ran each test, and whether it counts toward a rank
CharXivCharXiv Reasoning86.6%

Best verified: Qwen3.8 Max · 93.5%

Gap6.9 behindReported by Sakana AIWeighted benchmark17% ref. weight
Knowledge3 rows
Knowledge benchmark results, best verified comparison, who ran each test, and whether it counts toward a rank
HLE w/o toolsHumanity's Last Exam without tools50%

Best verified: Claude Fable 5.2 · 73.2%

Gap23.2 behindReported by Sakana AIWeighted benchmark7% ref. weight
GPQAGraduate-Level Google-Proof Q&A95.5%

Best verified: GPT-6 Astra · 96%

Gap0.5 behindReported by Sakana AIWeighted benchmark3% ref. weight
GPQA-DGPQA Diamond95.5%

Best verified: GPT-6 Astra · 96.0%

Gap0.5 behindReported by Sakana AIShown only

Outlined bars are lab-reported. Filled bars are benchmark-run or independent. Bars run 0–100; the dark tick marks the best source-verified value.

Lineage

The sequence follows explicit supersedes links. Each score is estimated for that model; a relative can inform a sparse estimate but never sets a floor, so a newer release can score below an earlier one. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.

  1. Jun 22, 2026 · you are here

    Sakana Fugu-Ultra

    Not publicly ranked · Price not listed

  2. Jul 24, 2026

    Sakana Fugu-Ultra v1.1

    Not publicly ranked · $5 / $30

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

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 906 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.

Last updated November 12, 2026. Runtime fields remain blank until a sourced snapshot exists.

Deployment options

Self-host and provider-specific paths stay separate from benchmark evidence so operating constraints are visible before a score becomes the whole decision.

Where to run Sakana Fugu-Ultra by API

OpenRouter is the one host we track that publishes a per-token price for it. Prices read from each host’s own pages on November 11, 2026.

Inference hosts for Sakana Fugu-Ultra with input, output and cached-input prices per million tokens.
HostInput /1MOutput /1MCached /1MContext
OpenRouter$5.00$30.00$0.501M
Compare inference hosts

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. 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.

Compare Sakana Fugu-Ultra with every tracked model1030 comparisons