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

About SWE-2

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.

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Pricing

Starting Price:
$20/month
Free Version:
Free Version available.

Integrations

See Integrations

Ratings/Reviews - 1 User Review

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
More Reviews Write a Review

Company Information

Cognition
Founded: 2023
United States
cognition.com

Videos and Screen Captures

SWE-2 Screenshot 1
SWE-2 Screenshot 1 SWE-2 Screenshot 2
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Product Details

Platforms Supported
Cloud
Training
Documentation
Support
Online

SWE-2 Frequently Asked Questions

Q: What kinds of users and organization types does SWE-2 work with?
Q: What languages does SWE-2 support in their product?
Q: What kind of support options does SWE-2 offer?
Q: What other applications or services does SWE-2 integrate with?
Q: What type of training does SWE-2 provide?
Q: How much does SWE-2 cost?

SWE-2 Product Features

SWE-2 Verified User Reviews

Write a Review
  • A SWE-2 User
    Software Engineer
    Used the software for: Less than 6 months
    Frequency of Use: Daily
    User Role: User
    Company Size: 500 - 999
    Design
    Ease
    Features
    Pricing
    Probability You Would Recommend?
    1 2 3 4 5 6 7 8 9 10

    "Really good for coding"

    Posted 2026-09-11

    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.

    Overall: Overall, SWE-2 feels like a serious upgrade for developers using AI coding agents. It may not be the absolute top model on every metric, but the mix of coding strength, agent performance, and lower cost makes it one of the most practical models to watch right now.

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