Audience

Software engineers, AI coding agent builders, engineering teams, DevOps teams, research labs, and companies using Devin that need cost-efficient frontier coding intelligence for debugging, feature development, migrations, terminal tasks, and long-horizon software engineering workflows.

About SWE-1.7

SWE-1.7 is Cognition’s frontier software engineering model designed to deliver high intelligence at a lower rollout cost. The model is optimized for long-horizon agentic coding tasks, including debugging, feature implementation, codebase exploration, migrations, terminal workflows, and multilingual software engineering. SWE-1.7 was trained from a Kimi K2.7 base using large-scale reinforcement learning improvements across infrastructure, data quality, training stability, self-compaction, and long-running task execution. It is built to explore codebases thoroughly, probe edge cases, identify hidden requirements, and produce more complete end-to-end solutions. The model is available in Devin across web, desktop, and CLI through Cerebras at very high serving speeds. SWE-1.7 is positioned for developers and engineering teams that need cost-efficient frontier-level coding intelligence for complex real-world software work.

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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
support 5.0 / 5
More Reviews Write a Review

Company Information

Cognition
Founded: 2023
United States
cognition.com

Videos and Screen Captures

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Product Details

Platforms Supported
Cloud
Training
Documentation
Support
Online

SWE-1.7 Frequently Asked Questions

Q: What kinds of users and organization types does SWE-1.7 work with?
Q: What languages does SWE-1.7 support in their product?
Q: What kind of support options does SWE-1.7 offer?
Q: What other applications or services does SWE-1.7 integrate with?
Q: What type of training does SWE-1.7 provide?
Q: How much does SWE-1.7 cost?

SWE-1.7 Product Features

SWE-1.7 Verified User Reviews

Write a Review
  • A SWE-1.7 User
    Senior Developer
    Used the software for: Less than 6 months
    Frequency of Use: Daily
    User Role: User
    Company Size: 100 - 499
    Design
    Ease
    Features
    Pricing
    Support
    Probability You Would Recommend?
    1 2 3 4 5 6 7 8 9 10

    "SWE-1.7 is good. Like really good, and affordable"

    Posted 2026-07-10

    Pros: SWE-1.7 is really impressive from a developer’s perspective because it feels focused on actual software engineering, not just generic code completion. I like that it is built for agentic coding workflows where the model needs to understand a repo, make changes, chase bugs, and keep context across multiple steps.

    The biggest selling point is the cost-performance angle. Cognition is positioning SWE-1.7 as frontier-level intelligence at a much lower cost, which matters a lot if you are using coding agents heavily instead of just asking the occasional question. It also helps that Devin’s docs describe SWE-1.7 Lightning as a faster version with the same intelligence and lower latency, because speed becomes a big deal when an agent is editing, searching, testing, and iterating over and over.

    Cons: It is still new, so I would want to test it hard on real repos before trusting it blindly. Coding benchmarks and launch claims are useful, but the real test is whether it can handle messy architecture, weird dependencies, incomplete docs, flaky tests, and multi-file changes without getting stuck.

    I also think developers still need to stay involved. SWE-1.7 may be strong, but agentic coding is not “set it and forget it” yet. You still need code review, tests, security checks, and good prompts to make sure the output is actually production-ready.

    Overall: Five stars from me. SWE-1.7 looks like a serious model for developers who want AI agents to do real engineering work, not just autocomplete snippets. The mix of software-engineering focus, frontier-level positioning, better cost-performance, and faster Lightning option makes it one of the more exciting coding models to build with right now.

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