Data as of November 13, 2026 · How the score is built
Decision readingFugu Cyber is tracked, but not publicly ranked yet. The profile exposes 2 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
$6input / $36 output
input median $0.60cached $0.60 · blended $21
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
How much published evidence this model has, where that evidence is strongest, and what to validate before choosing it. It has no public rank, so no field position is shown.
Strongest published evidence
Published rows are visible, but no category has enough eligible evidence for a comparative rank.
Validate before choosing
2 published rows leave some tracked benchmark slots empty. Independent runtime speed has not been measured.
Source-linked · 2 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 | Score | Rank | Percentile | Weight | Benchmarks | Evidence |
|---|---|---|---|---|---|---|
| AgenticWeight 22%2 benchmarksVerified | Score pending | 2 benchmarks | Verified | |||
| CodingWeight 20%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| ReasoningWeight 17%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| MultimodalWeight 12%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| KnowledgeWeight 12%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| MultilingualWeight 7%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| Inst. FollowingWeight 5%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| MathWeight 5%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured |
2 of 919 tracked benchmark slots have displayable evidence · bars run 0–100
Coverage detailsHow 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.
- Agentic2/2 verified
- CodingNot measured
- ReasoningNot measured
- MultimodalNot measured
- KnowledgeNot measured
- MultilingualNot measured
- Inst. FollowingNot measured
- MathNot measured
Benchmark ledger
Every result says who ran the test. For this model, Sakana AI ran all 2. Agentic opens by default. The tick marks the best source-verified result in the catalog; provisional leaders do not set the reference.
Agentic2 rows
| Benchmark | Score | Versus best verified row | Gap | Who ran it | Use in ranking |
|---|---|---|---|---|---|
| CyberGym | 86.9% | Best verified: MiMo-V2.6-Flash · 95.1% | Gap8.2 behind | Reported by Sakana AI | Shown only |
| CTI-REALM | 72.1% | Best verified: Fugu Cyber · 72.1% | GapHighest listed | Reported by Sakana AI | Shown 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.
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
- Available through Sakana AI's OpenAI-compatible API as fugu-cyber-v1.0. Access is limited to the Token Plan and requires an approved use-case application.
- Cloud regions
- Not tracked yet
- Lifecycle
- Current
- API capabilities
- Tool calling, structured outputs, and batch support are not tracked yet
- Prompt caching
- Published at $0.60 per million cached input tokens
- 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 Fugu Cyber, but the public leaderboard excludes this profile until enough non-generated benchmark coverage is available. Only published rows appear above.
Fugu Cyber 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.
Available through Sakana AI's OpenAI-compatible API as fugu-cyber-v1.0. Access is limited to the Token Plan and requires an approved use-case application.
Fugu Cyber has cybersecurity benchmark results. The cybersecurity benchmark comparison shows them beside other models, one security job at a time, with the access route for restricted models.
Official exact-value snapshot from Sakana AI's July 21, 2026 Fugu Cyber launch page. We store CyberGym and CTI-REALM as display-only cybersecurity results because neither benchmark is part of the weighted schema.
Fugu Cyber sits in the Sakana Fugu family with Sakana Fugu, Sakana Fugu-Ultra, Sakana Fugu-Ultra v1.1. 2 of 919 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.
Last updated November 13, 2026. Runtime fields remain blank until a sourced snapshot exists.
Questions
How does Fugu Cyber perform overall in AI benchmarks?
Fugu Cyber has 2 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 Fugu Cyber good for agentic tool use and computer tasks?
Fugu Cyber 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.
Which sibling models are related to Fugu Cyber?
Fugu Cyber belongs to the Sakana Fugu family. Related tracked variants include Sakana Fugu, Sakana Fugu-Ultra, 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 Fugu Cyber have full benchmark coverage on BenchLM?
No. Fugu Cyber currently has 2 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 Fugu Cyber?
Fugu Cyber 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.