Fugu

Tool callingStructured outputReasoningImage input

Website

Multi-agent model for routing expert agents across complex analytical tasks

Context: 1M
Released: 4mo ago

Sources:models.dev

Benchmarks

DeepSWE is the primary coding benchmark where an exact model evaluation exists. Other sourced evaluations appear below; missing scores are not zero.

Not evaluated in DeepSWE 1.1 as of 2026-09-22. Results are only shown for exact model versions in the official dataset. Official leaderboard.

No benchmark results have been matched to this model yet.

Specifications

Developer: Sakana
Model family: Fugu
Type: Language model
Predecessor: —
Successor: —
Released: June 15, 2026
Model ID: sakana/fugu
Openness: Closed
License: —
Input modalities: text, image
Output modalities: text
Modality: text+image->text
Hugging Face: —
Source freshness: Metadata synced Oct 8, 2026, 10:17 PM UTC

Additional source evidence

Source model: sakana/fugu
Source family: fugu
Last updated: 2026-06-15
Model context: 1M
Open weights: No
File attachments: Yes
Reasoning: Yes
Tool calling: Yes
Structured output: Yes
Temperature control: No

Published benchmarks

Benchmark	Score	Evaluation details	Evidence
SWE Bench Pro	59	—	Source
Terminal Bench 2.1	80.2	—	Source
LiveCodeBench	92.9	—	Source
LiveCodeBench Pro	87.8	—	Source
Humanity’s Last Exam	47.2	—	Source
CharXiv Reasoning	85.1	—	Source
GPQA Diamond	95.5	—	Source
SciCode	60.1	—	Source
τ3 Banking	21.7	—	Source
Long Context Reasoning	74.7	—	Source
MRCRv2	86.6	—	Source
CTI-REALM	67.5	—	Source

Official references

Official model catalog

Complete source record (JSON)

{
  "id": "sakana/fugu",
  "name": "Fugu",
  "description": "Multi-agent model for routing expert agents across complex analytical tasks",
  "family": "fugu",
  "last_updated": "2026-06-15",
  "attachment": true,
  "reasoning": true,
  "tool_call": true,
  "structured_output": true,
  "temperature": false,
  "modalities": {
    "input": [
      "text",
      "image"
    ],
    "output": [
      "text"
    ]
  },
  "limit": {
    "context": 1000000
  },
  "benchmarks": [
    {
      "name": "SWE Bench Pro",
      "score": 59,
      "source": "https://console.sakana.ai/models"
    },
    {
      "name": "Terminal Bench 2.1",
      "score": 80.2,
      "source": "https://console.sakana.ai/models"
    },
    {
      "name": "LiveCodeBench",
      "score": 92.9,
      "source": "https://console.sakana.ai/models"
    },
    {
      "name": "LiveCodeBench Pro",
      "score": 87.8,
      "source": "https://console.sakana.ai/models"
    },
    {
      "name": "Humanity’s Last Exam",
      "score": 47.2,
      "source": "https://console.sakana.ai/models"
    },
    {
      "name": "CharXiv Reasoning",
      "score": 85.1,
      "source": "https://console.sakana.ai/models"
    },
    {
      "name": "GPQA Diamond",
      "score": 95.5,
      "source": "https://console.sakana.ai/models"
    },
    {
      "name": "SciCode",
      "score": 60.1,
      "source": "https://console.sakana.ai/models"
    },
    {
      "name": "τ3 Banking",
      "score": 21.7,
      "source": "https://console.sakana.ai/models"
    },
    {
      "name": "Long Context Reasoning",
      "score": 74.7,
      "source": "https://console.sakana.ai/models"
    },
    {
      "name": "MRCRv2",
      "score": 86.6,
      "source": "https://console.sakana.ai/models"
    },
    {
      "name": "CTI-REALM",
      "score": 67.5,
      "source": "https://console.sakana.ai/models"
    }
  ],
  "release_date": "2026-06-15",
  "open_weights": false,
  "links": [
    {
      "url": "https://raw.githubusercontent.com/SakanaAI/fugu/refs/heads/main/configs/files/fugu.json",
      "label": "Official model catalog",
      "type": "docs"
    }
  ]
}

Infrastructure

Provider availability

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