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Description

Relace provides a comprehensive collection of AI models specifically designed to enhance coding processes. These include models for retrieval, embedding, code reranking, and the innovative “Instant Apply,” all aimed at seamlessly fitting into current development frameworks and significantly boosting code generation efficiency, achieving integration speeds exceeding 2,500 tokens per second while accommodating extensive codebases of up to a million lines in less than two seconds. The platform facilitates both hosted API access and options for self-hosted or VPC-isolated setups, ensuring that teams retain complete oversight of their data and infrastructure. Its specialized embedding and reranking models effectively pinpoint the most pertinent files related to a developer's query, eliminating irrelevant information to minimize prompt bloat and enhance precision. Additionally, the Instant Apply model efficiently incorporates AI-generated code snippets into existing codebases with a high degree of reliability and a minimal error rate, thus simplifying pull-request evaluations, continuous integration and delivery (CI/CD) processes, and automated corrections. This creates an environment where developers can focus more on innovation rather than getting bogged down by tedious tasks.

Description

SWE-1.7 is Cognition’s most capable software engineering model, built to push frontier coding performance while reducing the cost of high-quality agentic rollouts. The model is designed for real-world software development tasks that require extended reasoning, codebase understanding, terminal use, debugging, feature work, migrations, and careful validation. It was trained from a Kimi K2.7 base and improved through Cognition’s reinforcement learning pipeline, including more stable training, stronger infrastructure, better data curation, and long-horizon task techniques. SWE-1.7 is especially optimized for asynchronous software engineering, where an agent needs to work through large projects over longer sessions instead of simply answering short prompts. Its self-compaction capabilities allow the model to summarize its working state and resume from that summary, helping it operate beyond the raw context window on multi-hour tasks. The model is also trained to balance task success with efficiency, using concise reasoning when possible while preserving deeper exploration for harder problems. SWE-1.7 tends to investigate codebases more thoroughly than its base model, reading files, running searches, probing edge cases, and experimenting before making changes. It is available in Devin through web, desktop, and CLI interfaces, with Cerebras serving support at 1000 TPS. SWE-1.7 gives developers and engineering teams a high-performance coding model for complex software projects at a more practical cost.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

.NET
C
C#
C++
Devin
Go
Kotlin
Kubernetes
Lua
MATLAB
Objective-C
PHP
R
Ruby
Rust
Scala
Solidity
Swift
TypeScript
YAML

Integrations

.NET
C
C#
C++
Devin
Go
Kotlin
Kubernetes
Lua
MATLAB
Objective-C
PHP
R
Ruby
Rust
Scala
Solidity
Swift
TypeScript
YAML

Pricing Details

$0.80 per million tokens
Free Trial
Free Version

Pricing Details

$20/month
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Relace

Country

United States

Website

www.relace.ai/

Vendor Details

Company Name

Cognition

Founded

2023

Country

United States

Website

cognition.com

Product Features

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