Sakana AI

Fugu

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

sakana/fugu

Context

1M

Output

—

Released

2026-06-15

Knowledge cutoff

—

Types

InputTextImage
OutputText

Reasoning

Supported

Tool use

Supported

Structured output

Supported

Attachments

Supported

Open weights

—

Provider pricing

No providers currently list this model.

Benchmarks

  • SWE Bench Pro

    59

  • Terminal Bench 2.1

    80.2

  • LiveCodeBench

    92.9

  • LiveCodeBench Pro

    87.8

  • Humanity’s Last Exam

    47.2

  • CharXiv Reasoning

    85.1

  • GPQA Diamond

    95.5

  • SciCode

    60.1

  • τ3 Banking

    21.7

  • Long Context Reasoning

    74.7

  • MRCRv2

    86.6

  • CTI-REALM

    67.5

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