SWE-1.7

SWE-1.7

Cognition
+
+

Related Products

  • Gemini Enterprise Agent Platform
    984 Ratings
    Visit Website
  • Google AI Studio
    30 Ratings
    Visit Website
  • JetBrains Junie
    12 Ratings
    Visit Website
  • Checksum.ai
    1 Rating
    Visit Website
  • Retool
    584 Ratings
    Visit Website
  • Creatio
    570 Ratings
    Visit Website
  • BoldTrail
    2,107 Ratings
    Visit Website
  • LM-Kit.NET
    29 Ratings
    Visit Website
  • Pipefy
    592 Ratings
    Visit Website
  • Jotform
    8,632 Ratings
    Visit Website

About

North Mini Code is Cohere’s first agentic coding model for developers and the inaugural member of its next generation of powerful models. Small, efficient, and open-source, it is built for the sovereign developer ecosystem and designed to deliver strong software development performance without requiring extensive hardware. North Mini Code is a mixture-of-experts model with 30B total parameters and 3B active parameters, giving developers access to agentic coding capabilities in a compact and efficient form. The model is optimized for code generation, agentic software engineering, and terminal tasks, with a 256K total context length and up to 64K maximum generation. It is built for real-world developer workflows, including understanding and orchestrating sub-agents, mapping system architecture, running code reviews, and supporting coding agents that need to reason through complex software tasks.

About

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.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Developers, coding-agent builders, and engineering teams wanting a model for code generation, terminal tasks, architecture reasoning, code review, and locally controlled development workflows

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.

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

$20/month
Free Version
Free Trial

Reviews/Ratings

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

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

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

Pros & Cons from Real Users

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.

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Cohere
Founded: 2019
Canada
cohere.com/blog/north-mini-code

Company Information

Cognition
Founded: 2023
United States
cognition.com

Alternatives

Alternatives

Claude Fable 5

Claude Fable 5

Anthropic
Claude Mythos 5

Claude Mythos 5

Anthropic
Devstral Small 2

Devstral Small 2

Mistral AI
Claude Opus 4.6

Claude Opus 4.6

Anthropic
Kimi K2

Kimi K2

Moonshot AI
Kimi K2.7 Code

Kimi K2.7 Code

Moonshot AI
GLM-5

GLM-5

Zhipu AI

Categories

Categories

Integrations

.NET
C
C#
C++
Cerebras
Dart
Devin Desktop
Kubernetes
Lua
MATLAB
PHP
R
Ruby
Rust
SQL
Solidity
Swift
Terraform
XML
YAML

Integrations

.NET
C
C#
C++
Cerebras
Dart
Devin Desktop
Kubernetes
Lua
MATLAB
PHP
R
Ruby
Rust
SQL
Solidity
Swift
Terraform
XML
YAML
Claim North Mini Code and update features and information
Claim North Mini Code and update features and information
Claim SWE-1.7 and update features and information
Claim SWE-1.7 and update features and information