Sakana AIactive

Fugu Ultra v2

Released at: September 11, 2026

API StatusAvailable for integration
Context Window1,000,000 tokens✓ verified today
Input Price / MTok$5.00✓ verified today
Output Price / MTok$30.00✓ verified today

Model Overview

Sakana AI · Active Model

  • Long-Context
  • API Available
  • Vetted Benchmarks
  • Production Ready

Fugu Ultra v2 by Sakana AI — Technical Architecture, Empirical Benchmarks & API Specs§

1. Executive Summary & Core Positioning§

Fugu Ultra v2 is an advanced artificial intelligence model engineered by Sakana AI. Tailored for complex multi-step reasoning, programming synthesis, and extended document comprehension, Fugu Ultra v2 represents a key architectural iteration in the Sakana AI model family. First released in 2026-09-11, it serves enterprise developers, research teams, and autonomous system architects requiring strict instruction compliance.

Featuring an input capacity of 1,000,000 tokens (approximately 1,333 words), Fugu Ultra v2 processes multi-file code repositories, lengthy technical reports, and complex prompts in a single inference call.


2. Technical Architecture & Verified Specifications§

Official specification breakdown for Fugu Ultra v2 based on verified provider metadata:

  • Model Name: Fugu Ultra v2
  • Developer / Provider: Sakana AI
  • Context Window Capacity: 1,000,000 tokens (~1,333 words)
  • Modality Support: Text, Code
  • API Availability: Available via API Gateway
  • Tool-Calling Accuracy Score: Pending Empirical Benchmark
  • Time to First Token (TTFT): Varies by Host Provider

3. Benchmark Evaluations & Performance Metrics§

Fugu Ultra v2 undergoes standardized evaluation across key industry benchmark suites:

  • MMLU (Massive Multitask Language Understanding): Evaluates multi-subject knowledge across STEM, humanities, and social sciences.
  • HumanEval & SWE-bench: Assesses functional Python code synthesis and real-world software engineering bug resolution.
  • GSM8K & MATH: Tests multi-step arithmetic reasoning and formal mathematical proof construction.
  • Chatbot Arena ELO: Evaluates human preference, instruction following, and conversational quality against rival models.

4. Developer API & Integration Specs§

Programmatic integration for Fugu Ultra v2 follows standard OpenAI-compatible REST endpoints.

import os
import requests

api_key = os.getenv("MODEL_API_KEY")
url = "https://openrouter.ai/api/v1/chat/completions"

headers = {
    "Authorization": f"Bearer {api_key}",
    "Content-Type": "application/json"
}

payload = {
    "model": "fugu-ultra-v2",
    "messages": [
        {"role": "system", "content": "You are a senior software architect and AI system evaluator."},
        {"role": "user", "content": "Analyze system architecture bottlenecks and suggest refactoring strategies."}
    ],
    "temperature": 0.1,
    "max_tokens": 2048
}

response = requests.post(url, headers=headers, json=payload)
print(response.json())

5. Production Use Cases & Deployment Scenarios§

5.1 Autonomous Agents & Tool Execution§

Given its instruction compliance and tool-calling capabilities (Pending Empirical Benchmark), Fugu Ultra v2 is frequently integrated as the reasoning engine for autonomous software agents, browser automation pipelines, and API orchestrators.

5.2 Enterprise Document Synthesis§

With its 1,000,000 tokens input capacity, engineering and legal teams process full regulatory filings, annual corporate disclosures, and technical documentation directly without context loss.

5.3 Programmatic Code Generation§

Development teams utilize Fugu Ultra v2 for automated code generation, pull request audits, unit test suite creation, and language migration (e.g. Python to Rust).


6. Token Economics & Pricing Breakdown§

Inference pricing per million tokens for Fugu Ultra v2:

  • Input Token Cost: $5.00 per MTok
  • Output Token Cost: $30.00 per MTok
  • Prompt Caching Discounts: Supported on selected API providers (up to 50% savings on repeated prompt prefixes)
  • Batch Processing: Available for non-latency-sensitive bulk inference workloads

7. Comparative Specification Matrix§

Metric / Parameter**Fugu Ultra v2**Provider Ecosystem Baseline
DeveloperSakana AIIndustry Average
Context Window1,000,000 tokens128,000 tokens
Input Price / MTok$5.00Variable
Output Price / MTok$30.00Variable
API AccessSupportedStandard

8. Frequently Asked Questions (FAQ)§

Q: What is Fugu Ultra v2's context window limit?§

A: Fugu Ultra v2 supports an input context window of 1,000,000 tokens.

Q: What is the API pricing for Fugu Ultra v2?§

A: Fugu Ultra v2 is priced at $5.00 per million input tokens and $30.00 per million output tokens.

Q: Is Fugu Ultra v2 accessible via API?§

A: Yes, Fugu Ultra v2 is available for programmatic integration.

Developer
Sakana AI✓ verified today
Release Date
September 11, 2026✓ verified today
Context Window
1,000,000 tokens1,333 words✓ verified today
API Access
Publicly AvailableIntegrate via official API✓ verified today
Input Cost
$5.00per million tokens✓ verified today
Output Cost
$30.00per million tokens✓ verified today
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Vetted Benchmarks

MMLU(estimated)Score: 87.2% (Top 26%)
HumanEval(estimated)Score: 86.4% (Top 31%)
MATH(estimated)Score: 67.6% (Top 29%)
MT-Bench(estimated)Score: 9.1 (Top 22%)
GPQA(estimated)Score: 49.0% (Top 28%)
HellaSwag(estimated)Score: 88.2% (Top 28%)

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Originally published on llmdb.app

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