Long-running repository tasks
Handle codebase work that benefits from sustained investigation, tool use, testing, and iteration.
Independent tool overview
SWE-1.7 is Cognition's agentic coding model for long-running software-engineering tasks, available through Devin on web, desktop, and the command line.
Visit the official SWE-1.7 site ↗
Overview
SWE-1.7 is Cognition's most capable in-house software-engineering model as of this review. It was trained from a Kimi K2.7 base and further post-trained with reinforcement learning for codebase exploration, tool use, and longer-horizon agent tasks.
The model is delivered inside Devin rather than as a general chat model or a standalone public API. Cognition serves it through Cerebras at a stated 1,000 tokens per second across Devin Web, Desktop, and CLI.
Cognition reports near-frontier results on several coding benchmarks at a lower cost, but those are vendor results and some evaluations use different agent harnesses for different model providers. Teams should judge SWE-1.7 on representative repositories, task success, review load, and total spend—not benchmark position alone.
Use cases
The strongest fit depends on the job you need the product to complete, not the size of its feature list.
Handle codebase work that benefits from sustained investigation, tool use, testing, and iteration.
Choose Cognition's in-house model when the desired balance is strong coding capability with lower platform cost.
Apply the model to scoped bug fixes, migrations, refactors, and technical-debt slices with objective acceptance checks.
Use the high-throughput serving path for interactive planning and quicker coding-agent turns.
Capabilities
Cognition trained SWE-1.7 for asynchronous software tasks that require many turns, tools, and intermediate decisions.
The model learned to summarize its working state and continue from that summary when a run approaches its context limit.
Cognition reports that SWE-1.7 reads and searches more extensively before editing, especially on root-cause bug investigations.
The launch announcement states that SWE-1.7 is served at 1,000 tokens per second.
Use the model through Devin's browser product, desktop application, or command-line interface.
Within Devin, the model can work with an isolated machine, shell, browser, editor, repositories, pull requests, and configured integrations.
Process
Step 1
Give Devin repository access, index the relevant branches, and configure dependencies, secrets, and validation commands.
Step 2
Provide a narrow outcome, relevant context, constraints, before-and-after examples, and the tests or checks that determine success.
Step 3
Use the model where it is available in Devin Web, Desktop, or CLI, then review the initial codebase assessment and plan.
Step 4
Course-correct when requirements are ambiguous and watch for scope expansion, unnecessary refactors, or expensive changes in direction.
Step 5
Inspect the diff, run the full relevant test suite, check security and migration risks, and require human approval for production code.
Cost
SWE-1.7 is included as a model inside Devin rather than sold with standalone token pricing. Devin offers Free, $20 Pro, $200 Max, and team plans; actual task cost depends on plan quota and on-demand usage.
$0
Try Devin with limited usage.
$20/month
An individual plan for regular use.
$200/month
A larger individual plan for power users.
From $80/month
A shared plan with unlimited members and a monthly minimum.
Pricing checked . Check current pricing at the source ↗
Assessment
Compare
The right alternative depends on the specific output, workflow, controls and budget your project requires.
Coding
Consider Claude Code for Anthropic's terminal-centered coding agent and direct access to Claude's current coding models.
Explore Claude Code →Coding
Consider Codex for OpenAI's multi-surface agentic coding workflow and cloud task execution.
Explore Codex →Coding
Consider Cursor when the priority is an AI-native editor with interactive completion and agent workflows.
Explore Cursor →Questions
SWE-1.7 is Cognition's coding model optimized for agentic software-engineering work, especially longer-running tasks that require codebase search, tools, testing, and multiple decisions.
Cognition says SWE-1.7 is available in Devin on the web, in Devin Desktop, and through Devin CLI.
There is no standalone SWE-1.7 API price. It is used through Devin plans: Free, Pro at $20 per month, Max at $200 per month, or Teams starting at an $80 monthly minimum, with variable quota and on-demand consumption.
No public SWE-1.7 weights or source release is listed. Cognition trained it from the Kimi K2.7 base and serves the resulting model inside Devin.
Cognition reports 42.3% on FrontierCode 1.1 Main, 81.5% on Terminal-Bench 2.1, and 77.8% on SWE-bench Multilingual. Treat these as vendor-reported results and compare models on your own tasks.
No. Its changes should be reviewed like any other contribution, with relevant tests, security checks, migration review, and human approval before merge or deployment.
Bottom line
SWE-1.7 is a strong option for existing Devin users who want fast, lower-cost agentic coding without giving up much reported benchmark capability. Its real value will depend on task success and review burden in the team's repositories, while users seeking direct model APIs or local deployment should look elsewhere.
Visit SWE-1.7 website ↗
ZCode - Z.ai's agentic coding environment tuned for GLM-5.2

Grok Build - SpaceXAI's newly open-sourced coding agent and CLI for complex coding work

Cursor for iOS - Cursor's new mobile experience for coding on-the-go

Canva Code 2.0 - Canva's vibe-coding tool with drag-and-drop editing

Get access to all our AI courses, hundreds of real-world AI use cases, live expert-led workshops, an exclusive network of AI early adopters, and more.
Get unlimited access to all of our current & upcoming industry-specific AI courses for the duration of your subscription.
To keep up with the rapid pace of AI, our team publishes AI implementation guides daily. Our library contains 300+ practical use cases to automate real-world work.
Join weekly, live, interactive sessions with industry leaders who are at the forefront of AI for hands-on implementation guidance and exclusive insights.
Network with an exclusive community of AI-first professionals who are working smarter with AI. Learn how early adopters are using AI in their work and businesses.