ModelSim

ModelSim

Siemens
SWE-2

SWE-2

Cognition
+
+

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About

ModelSim simulates behavioral, RTL, and gate-level code, delivering increased design quality and debug productivity with platform-independent compilation. Single kernel simulator technology enables transparent mixing of VHDL and Verilog in one design. ModelSim packs an unprecedented level of verification capabilities into a cost-effective HDL simulator and is ideally suited for the verification of small and medium-sized FPGA designs, especially designs with complex, mission-critical functionality. ModelSim’s advanced code coverage capabilities provide valuable metrics for systematic verification. Plus, ModelSim’s ease of use lowers the barriers to leveraging verification resources. All coverage information is stored in the highly efficient UCDB database. Coverage results can be viewed interactively, post-simulation, or after a merge of multiple simulation runs. An easy-to-use and unified environment provides FPGA designers with the advanced capabilities they need for debugging.

About

SWE-2 is Cognition’s advanced coding model designed to improve software engineering performance while reducing the cost of agentic coding workflows. The model is post-trained from Kimi K3 and uses reinforcement learning to optimize multiple reasoning-effort levels within a single training run. SWE-2 is designed to explore codebases more selectively, begin implementation sooner, and complete tasks with fewer redundant reads and reasoning steps than earlier Cognition models. Its capabilities include code generation, debugging, test creation, verification, repository analysis, and complex terminal-based software engineering tasks. The model also emphasizes stronger engineering judgment, end-to-end test coverage, instruction following, and evidence-based verification of user assumptions. SWE-2 is available through Devin Desktop and Devin CLI, with broader rollout planned across Devin Web and Fusion.

Platforms Supported

Windows Supported
Mac Not Supported
Linux Supported
Cloud Not Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Designers and companies in search of a tool to increase the quality of their designs and enhance productivity

Audience

Software developers, engineering teams, AI coding agent users, DevOps professionals, and organizations that need capable agentic software engineering with lower execution cost and more efficient reasoning

Support

Phone Support Supported
24/7 Live Support Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Not Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

$20/month
Free Version Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5

Pros & Cons from Real Users

Pros

  • The biggest thing that stands out is the cost-performance balance. SWE-2 is not just trying to top one benchmark; it is trying to get very close to frontier coding performance at a much lower cost. For developers, that matters a lot. Coding agents can burn through tokens quickly when they are reading files, making edits, running tests, and iterating. A model that performs near the top while being meaningfully cheaper is much easier to use every day. I also like that SWE-2 seems built for real software engineering workflows, not just isolated code snippets. The strong DeepSWE and Terminal-Bench results make it especially interesting for repo-level tasks, debugging, tool use, and longer agent runs.

Cons

  • Benchmarks are useful, but real projects bring messy architecture, flaky tests, undocumented behavior, and weird edge cases.

Training

Documentation Supported
Webinars Supported
Live Online Not Supported
In Person Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Siemens
United States
eda.sw.siemens.com/en-US/ic/modelsim/

Company Information

Cognition
Founded: 2023
United States
cognition.com

Alternatives

Alternatives

RFPro Circuit

RFPro Circuit

Keysight
SWE-1.7

SWE-1.7

Cognition
Symbiotic EDA Suite

Symbiotic EDA Suite

Symbiotic EDA
SWE-1.6

SWE-1.6

Cognition

Categories

Categories

AI Coding Models Supported
AI Models Supported

Integrations

C# Not Supported
CSS Not Supported
Dart Not Supported
Go Not Supported
HTML Not Supported
JavaScript Not Supported
Kubernetes Not Supported
Lua Not Supported
MATLAB Not Supported
PHP Not Supported
PowerShell Not Supported
Python Not Supported
R Not Supported
Rust Not Supported
SQL Not Supported
Siemens Precision Supported
Solidity Not Supported
SystemC Supported
TypeScript Not Supported
YAML Not Supported

Integrations

C# Supported
CSS Supported
Dart Supported
Go Supported
HTML Supported
JavaScript Supported
Kubernetes Supported
Lua Supported
MATLAB Supported
PHP Supported
PowerShell Supported
Python Supported
R Supported
Rust Supported
SQL Supported
Siemens Precision Not Supported
Solidity Supported
SystemC Not Supported
TypeScript Supported
YAML Supported
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