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Independent tool overview

SWE-1.7 at a glance

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 ↗
SWE-1.7 product preview
Product type
Agentic software-engineering model
Access
Devin Web, Desktop, and CLI
Serving speed
Up to 1,000 tokens per second via Cerebras
Model base
Kimi K2.7
Last reviewed
August 28, 2026

Overview

What SWE-1.7 is

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

Who SWE-1.7 is best for

The strongest fit depends on the job you need the product to complete, not the size of its feature list.

Long-running repository tasks

Handle codebase work that benefits from sustained investigation, tool use, testing, and iteration.

Cost-conscious Devin users

Choose Cognition's in-house model when the desired balance is strong coding capability with lower platform cost.

Backlog and maintenance work

Apply the model to scoped bug fixes, migrations, refactors, and technical-debt slices with objective acceptance checks.

Teams valuing fast feedback

Use the high-throughput serving path for interactive planning and quicker coding-agent turns.

Capabilities

Core SWE-1.7 features

1

Long-horizon optimization

Cognition trained SWE-1.7 for asynchronous software tasks that require many turns, tools, and intermediate decisions.

2

Self-compaction

The model learned to summarize its working state and continue from that summary when a run approaches its context limit.

3

Codebase exploration

Cognition reports that SWE-1.7 reads and searches more extensively before editing, especially on root-cause bug investigations.

4

Fast Cerebras inference

The launch announcement states that SWE-1.7 is served at 1,000 tokens per second.

5

Multiple Devin surfaces

Use the model through Devin's browser product, desktop application, or command-line interface.

6

Full Devin tool environment

Within Devin, the model can work with an isolated machine, shell, browser, editor, repositories, pull requests, and configured integrations.

Process

How the SWE-1.7 workflow works

  1. Step 1

    Connect and prepare the repository

    Give Devin repository access, index the relevant branches, and configure dependencies, secrets, and validation commands.

  2. Step 2

    Define a verifiable task

    Provide a narrow outcome, relevant context, constraints, before-and-after examples, and the tests or checks that determine success.

  3. Step 3

    Select SWE-1.7 in Devin

    Use the model where it is available in Devin Web, Desktop, or CLI, then review the initial codebase assessment and plan.

  4. Step 4

    Monitor the run

    Course-correct when requirements are ambiguous and watch for scope expansion, unnecessary refactors, or expensive changes in direction.

  5. Step 5

    Review before merging

    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 pricing and free plan

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.

Free

$0

Try Devin with limited usage.

  • One member
  • Limited Devin usage
  • Includes Devin Review and DeepWiki access

Pro

$20/month

An individual plan for regular use.

  • One member
  • Daily and weekly quota shared across Devin sessions, Terminal, and Windsurf
  • Pay-as-you-go on-demand credits after quota
  • Slack, Linear, and MCP integrations

Max

$200/month

A larger individual plan for power users.

  • One member
  • Larger weekly quota
  • No daily cap
  • On-demand usage available beyond quota

Teams

From $80/month

A shared plan with unlimited members and a monthly minimum.

  • $40 per full seat with a Pro-equivalent quota
  • Free flex seats draw entirely from shared on-demand credits
  • Full seats include Windsurf access
  • On-demand credits are shared across the team

Pricing checked . Check current pricing at the source ↗

Assessment

SWE-1.7 strengths and limitations

Where it stands out

  • Cognition reports competitive results across FrontierCode 1.1, Terminal-Bench 2.1, and SWE-bench Multilingual.
  • High-throughput serving can make an agent feel substantially more responsive.
  • Training explicitly targets long-horizon work, self-compaction, and detailed repository exploration.
  • Runs inside the broader Devin environment with repositories, tools, integrations, and pull-request workflows.
  • Offers a lower-cost option within Devin than relying only on the most expensive frontier models.

What to consider

  • SWE-1.7 is tied to Devin and does not have separately published API token pricing or downloadable weights.
  • Benchmark results come from Cognition, and the evaluation harness differs across some compared providers.
  • Cognition notes that deeper reasoning can increase change scope, tests, and the number of files touched.
  • Public plan pages do not state one fixed number of SWE-1.7 tasks per quota because consumption varies by session.
  • Agent-generated changes still require review, testing, security checks, and production ownership by a human team.

Compare

SWE-1.7 alternatives

The right alternative depends on the specific output, workflow, controls and budget your project requires.

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Explore Claude Code

Coding

Codex

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Coding

Cursor

Consider Cursor when the priority is an AI-native editor with interactive completion and agent workflows.

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Questions

SWE-1.7 FAQs

What is SWE-1.7?

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.

Where can I use SWE-1.7?

Cognition says SWE-1.7 is available in Devin on the web, in Devin Desktop, and through Devin CLI.

How much does SWE-1.7 cost?

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.

Is SWE-1.7 open source?

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.

How does SWE-1.7 perform on coding benchmarks?

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.

Does SWE-1.7 replace code review?

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

Our SWE-1.7 verdict

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 ↗
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