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Description

SWE-2 is a software engineering model from Cognition built for agentic coding tasks that require strong performance at lower computational and monetary cost. It is post-trained from the Kimi K3 base model and extends Cognition’s earlier SWE-1.7 training approach with a new reinforcement learning method for jointly optimizing multiple reasoning-effort settings. Medium, high, and maximum effort modes provide different tradeoffs between speed, cost, exploration, and verification depending on task complexity. The model is trained to inspect only the parts of a codebase that are likely to matter, helping it reach implementation faster and reduce unnecessary exploration. SWE-2 can generate and modify code, run tests, analyze repositories, work through terminal tasks, and verify whether implementations satisfy user requirements. Cognition also reports improvements in end-to-end test creation, regression detection, instruction following, and re-deriving conclusions when challenged. Its training process incorporates cost-aware rewards, length-weighted reward baselines, expanded reinforcement learning environments, and hardened verifiers intended to improve both efficiency and reliability. SWE-2 is positioned as a cost-efficient alternative to larger frontier coding models while remaining competitive on software engineering benchmarks such as FrontierCode, DeepSWE, and Terminal-Bench. The model is available in Devin Desktop and Devin CLI and is being introduced to additional Cognition products including Devin Web and Fusion.

Description

Sakana Fugu is a multi-agent AI platform and AI model that gives users access to coordinated model intelligence through one API. Instead of relying on one frontier model, Fugu dynamically selects, routes, and coordinates multiple expert models to complete complex tasks more effectively. The system is based on research into learned model orchestration, including the TRINITY and Conductor approaches for assembling agents and guiding collaboration patterns. Fugu is designed for coding, code review, reasoning, research, paper reproduction, cybersecurity analysis, patent investigation, and other work that benefits from multiple specialized agents. Users can access Fugu and Fugu Ultra through an OpenAI-compatible API, making integration easier for existing workflows and developer tools. Fugu is positioned as the default option for everyday use because it balances performance and latency. Fugu Ultra is built for difficult, high-value tasks where maximum quality matters more than speed. The platform also gives organizations the ability to opt out of specific models or providers for data, privacy, compliance, or internal policy reasons. Sakana Fugu helps users reduce dependence on a single AI vendor while gaining a flexible orchestration layer for advanced multi-step AI work.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

C Yes 
C# Yes 
CSS Yes 
Cerebras Yes 
Devin Desktop Yes 
Fugu-Ultra v1.1 No 
Go Yes 
JavaScript Yes 
Kotlin Yes 
Lua Yes 
MATLAB Yes 
PowerShell Yes 
R Yes 
Ruby Yes 
Rust Yes 
SQL Yes 
Sakana Fugu Ultra No 
Scala Yes 
Swift Yes 
XML Yes 

Integrations

C No 
C# No 
CSS No 
Cerebras No 
Devin Desktop No 
Fugu-Ultra v1.1 Yes 
Go No 
JavaScript No 
Kotlin No 
Lua No 
MATLAB No 
PowerShell No 
R No 
Ruby No 
Rust No 
SQL No 
Sakana Fugu Ultra Yes 
Scala No 
Swift No 
XML No 

Pricing Details

$20/month
Free Trial No 
Free Version Yes 

Pricing Details

$20/month
API:
$5 per 1M tokens (input)
$30 per 1M tokens (output)
$0.50 per 1M tokens (cached input)
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Cognition

Founded

2023

Country

United States

Website

cognition.com

Vendor Details

Company Name

Sakana AI

Founded

2023

Country

Japan

Website

sakana.ai/fugu/

Product Features

Alternatives

Alternatives

SWE-1.7 Reviews

SWE-1.7

Cognition