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llmwaves

Fugu Ultra v2

Sakana AI · released Sep 11, 2026

ProprietaryReasoningTool useStructured outputVision

Fugu Ultra v2 is the higher-performance model in Sakana AI's Fugu family. Rather than a single monolithic model, Fugu is a learned multi-agent orchestration system: a language model trained to...

Specification

Context window
1M
Max output
128K
Knowledge cutoff
Aug 28, 2026
Parameters
Undisclosed
Licence
Proprietary
Serving providers
1
Moderated
No

Intelligence

—

Not benchmarked

Coding

—

Coding Index

Agentic

—

Agentic Index

Output speed

—

Median across providers

Latency

—

Time to first token

Cost per task

$2.65

Estimated

Benchmarks

Where the score comes from

The Intelligence Index is a composite. These are the underlying evaluations this model was actually measured on.

Evaluation scores

This model has not been put through the benchmark suite. Its speed, latency and pricing figures below are still measured.

Against its peers

Intelligence Index · this model highlighted, nearest peers in grey

Peers are the models sitting closest on the Intelligence Index — the set you would realistically choose between.

View as table
ModelIntelligence
Qwen3.8 Max58.1
Claude Opus 5.557.6
Claude Sonnet 5.556.0
Claude Fable 5.153.4
GPT-6 Astra52.7
Gemini 4 Argon52.6
Muse Wonder52.4

Pricing

What it costs to run

List prices per million tokens, plus what one representative task works out to.

List price

Input / 1M tokens
$5
Output / 1M tokens
$30
Cached input / 1M
$0.5
Blended 3:1
$11.25

One task, estimated

$2.65

Input tokens
50,000
Output tokens
80,000
Profile
Reasoning

Estimated from list pricing: 50K input tokens plus 80K output tokens for reasoning models (25K for non-reasoning).

Serving providers

Speed and latency figures are medians across these providers, so a widely-served model reports a blend rather than any single endpoint.