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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
Trismik serves as a platform for evaluating AI models, aimed at assisting teams in selecting the most suitable large language model tailored to their unique needs by utilizing actual data rather than mere assumptions or standard benchmarks. The platform emphasizes transforming the process of model experimentation into straightforward, evidence-based choices by giving users the ability to test and contrast various models directly with their own datasets, avoiding the pitfalls of public leaderboards or limited manual evaluations. Alongside this, it features innovative tools like QuickCompare, which allows for side-by-side assessments of over 50 models across essential metrics such as quality, cost, and speed, thus rendering trade-offs visible and quantifiable in practical scenarios. Additionally, Trismik employs adaptive evaluation methods inspired by psychometrics, which intelligently select the most informative test cases and automatically assess outputs across multiple dimensions, including factual accuracy, bias, and reliability, ensuring a comprehensive evaluation process. This holistic approach not only enhances the decision-making process but also empowers teams to make informed choices that align with their specific operational requirements.
API Access
Has API
API Access
Has API
Integrations
JSON
.NET
C#
C++
Cerebras
Dart
Google Sheets
HTML
Kotlin
Kubernetes
Integrations
JSON
.NET
C#
C++
Cerebras
Dart
Google Sheets
HTML
Kotlin
Kubernetes
Pricing Details
$20/month
Free Trial
Free Version
Pricing Details
$9.99 per month
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Cognition
Founded
2023
Country
United States
Website
cognition.com
Vendor Details
Company Name
Trismik
Country
United States
Website
trismik.com