Sakana AI · Model release
Data as of September 27, 2026 · How the score is built
Released Jun 22, 20261M context
Sakana Fugu
Decision readingSakana Fugu is tracked, but not publicly ranked yet. The profile exposes 11 sourced benchmark rows and leaves unsupported fields blank until a published record exists.
Released Jun 22, 2026 — see all recent releases
Sakana Fugu will be repriced, updated or retired. Get each notice with its source and date. Follow model changes
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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 50.2Not eligible for a public rank
Price
API rate not published
input median $0.97No comparable first-party hosted token rate
Speed
Not measured
field median 91 tok/sTime to first token not measured
Context
1Mtokens
field median 256,000Reported for this model; direct source link not stored
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
Follow model changesCategory 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%1 benchmarkVerified | Score pending | 1 benchmark | Verified | |||
| CodingRank Not rankedWeight 20%5 benchmarksVerified | 55.1 | 5 benchmarks | Verified | |||
| ReasoningRank Not rankedWeight 17%1 benchmarkVerified | 70.6 | 1 benchmark | Verified | |||
| MultimodalRank Not rankedWeight 12%1 benchmarkVerified | 68.6 | 1 benchmark | Verified | |||
| KnowledgeRank Not rankedWeight 12%3 benchmarksVerified | 79.3 | 3 benchmarks | Verified | |||
| 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 |
11 of 486 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.
- Agentic1/1 verified
- Coding5/5 verified
- Reasoning1/1 verified
- Multimodal1/1 verified
- Knowledge3/3 verified
- MultilingualNot measured
- Inst. FollowingNot measured
- MathNot 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
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| SWE-bench Pro | Score59% | Versus best verified row Best verified: Claude Opus 5.5 · 89.9% | Gap30.9 behind | Weight26% ref. weight | Provider exact |
| SciCodeScientific Code Benchmark | Score60.1% | Versus best verified row Best verified: Sakana Fugu · 60.1% | GapBest verified | Weight10% ref. weight | Provider exact |
| Terminal-Bench 2.1 | Score80.2% | Versus best verified row Best verified: SWE-2 · 92.8% | Gap12.6 behind | WeightScored in Agentic | Provider exact |
| LiveCodeBench v6 | Score92.9% | Versus best verified row Best verified: Sakana Fugu-Ultra · 93.2% | Gap0.3 behind | WeightDisplay only | Provider exact |
| LiveCodeBench Pro | Score87.8% | Versus best verified row Best verified: Sakana Fugu-Ultra · 90.8% | Gap3 behind | WeightDisplay only | Provider exact |
Agentic1 row
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| Terminal-Bench 2.1 | Score80.2% | Versus best verified row Best verified: SWE-2 · 92.8% | Gap12.6 behind | Weight8% ref. weight | Provider exact |
Reasoning1 row
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| MRCRv2 | Score86.6% | Versus best verified row Best verified: Sakana Fugu-Ultra · 93.6% | Gap7 behind | WeightWeighted 20% | Provider exact |
Multimodal1 row
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| CharXivCharXiv Reasoning | Score85.1% | Versus best verified row Best verified: Qwen3.8 Max · 93.5% | Gap8.4 behind | WeightWeighted 20% | Provider exact |
Knowledge3 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| HLE w/o toolsHumanity's Last Exam without tools | Score47.2% | Versus best verified row Best verified: Claude Opus 5.5 · 64.4% | Gap17.2 behind | Weight7% ref. weight | Provider exact |
| GPQAGraduate-Level Google-Proof Q&A | Score95.5% | Versus best verified row Best verified: GPT-6 Astra · 96% | Gap0.5 behind | Weight3% ref. weight | Provider exact |
| GPQA-DGPQA Diamond | Score95.5% | Versus best verified row Best verified: GPT-6 Astra · 96.0% | Gap0.5 behind | WeightDisplay only | Provider exact |
Bars run 0–100; the dark tick marks the best source-verified value
All 11 rowsLineage
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.
Sakana Fugu release history
Radar confirmed these at the source. Use Sakana Fugu in your work? Explore Radar to follow supported changes and choose your alerts.
Radar
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
- Current
- 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, but the public leaderboard excludes this profile until enough non-generated benchmark coverage is available. Only published rows appear above.
Sakana Fugu 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 the same comparable rows as Fugu-Ultra and keeps bespoke internal or newly introduced evaluation surfaces out of scored fields.
Sakana Fugu sits in the Sakana Fugu family with Sakana Fugu-Ultra, Fugu Cyber, Sakana Fugu-Ultra v1.1. 11 of 486 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.
Last updated September 27, 2026. Runtime fields remain blank until a sourced snapshot exists.
Questions
How does Sakana Fugu perform overall in AI benchmarks?
Sakana Fugu 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 good for knowledge and understanding?
Sakana Fugu 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 good for coding and programming?
Sakana Fugu 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 good for reasoning and logic?
Sakana Fugu 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 good for agentic tool use and computer tasks?
Sakana Fugu 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 good for multimodal and grounded tasks?
Sakana Fugu 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?
Sakana Fugu belongs to the Sakana Fugu family. Related tracked variants include Sakana Fugu-Ultra, 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 have full benchmark coverage on BenchLM?
No. Sakana Fugu currently has 11 source-displayable rows across 486 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?
Sakana Fugu 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.