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What is SWE-2?

SWE-2 is Cognition’s coding model for software engineering agents, developed to improve the balance between capability, reasoning cost, and execution efficiency. The model is post-trained from Kimi K3, a multi-trillion-parameter model that had already received extensive reinforcement learning for agentic coding. Cognition further trained SWE-2 with a reinforcement learning algorithm that optimizes several reasoning-effort levels during a single training run. These effort levels let users trade off speed and cost against deeper planning, codebase exploration, and verification for more difficult assignments. SWE-2 is designed to reduce the over-exploration seen in earlier models by identifying relevant files and implementation paths more quickly. Its software engineering abilities include repository analysis, code writing and editing, debugging, testing, build and lint workflows, terminal tasks, and verification of completed work. The model places additional emphasis on writing end-to-end tests, catching edge cases and regressions, and gathering evidence instead of simply accepting assumptions in a prompt. Cognition’s training approach also uses cost penalties tied to the model’s performance frontier, length-weighted reward baselines, speculative decoding improvements, low-precision inference techniques, and expanded reinforcement learning data. Training data includes more diverse repositories, additional instruction-following requirements, and iterative verifier improvements designed to reduce reward hacking and false validation. SWE-2 is benchmarked against models such as GPT-6 Astra, GPT-5.6 Sol, Fable 5.1, Grok 4.6, and Kimi K3, with Cognition positioning it around strong coding performance at substantially lower cost. SWE-2 is intended for use across Cognition’s Devin ecosystem, including Desktop and CLI, with rollout to Devin Web and Fusion.

What is Gemini 4 Pro?

Gemini 4 Pro is the anticipated flagship Pro-class model associated with Google's next-generation Gemini 4 family, though Google has not officially launched or documented a model under that exact name as of September 2026. Google confirmed during the summer of 2026 that Gemini 4 training was underway following continued development of the Gemini 3 generation. The company characterized Gemini 4's pre-training effort as particularly ambitious compared with its previous model development programs. In September, Google DeepMind leadership indicated that Gemini 4 had entered a refinement phase and that the company wanted to release an early post-training version before the end of 2026. A Pro variant would fit Google's established model strategy of using Pro-class models for demanding reasoning and coding workloads while using Flash variants for applications prioritizing speed, efficiency, and lower inference costs. Google's broader Gemini ecosystem already spans text, images, audio, video, coding, computer use, tool calling, connected applications, and agentic workflows. Recent Gemini development has increasingly focused on agents capable of executing complex tasks, working with external tools, and completing multi-step actions on behalf of users. This makes advanced reasoning, coding, multimodal processing, and agentic applications relevant areas to watch for Gemini 4, but Google has not confirmed which capabilities will specifically be included in Gemini 4 Pro. No official context-window size, knowledge cutoff, benchmark suite, model architecture, parameter count, or token limits have been announced for Gemini 4 Pro. Google has likewise not published final API pricing or confirmed where a Gemini 4 Pro model would initially be available across the Gemini app, Gemini API, AI Studio, Vertex AI, or other Google products.

Media

Media

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Integrations Supported

.NET
C#
CSS
Dart
Go
JavaScript
Kotlin
Kubernetes
Objective-C
PowerShell
Python
R
Ruby
Rust
SQL
Scala
Solidity
Swift
XML
YAML

Integrations Supported

.NET
C#
CSS
Dart
Go
JavaScript
Kotlin
Kubernetes
Objective-C
PowerShell
Python
R
Ruby
Rust
SQL
Scala
Solidity
Swift
XML
YAML

API Availability

API Availability

Has API

Pricing Information

$20/month
Free Version

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Cognition

Date Founded

2023

Company Location

United States

Company Website

cognition.com

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

gemini.com

Categories and Features

AI Coding Models

Not specified

AI Models

Not specified

Categories and Features

AI Coding Models

Not specified

AI Models

Not specified

AI Reasoning Models

Not specified

AI Vision Models

Not specified

Foundation Models

Not specified

Large Language Models

Not specified

Multimodal Models

Not specified

Popular Alternatives

Popular Alternatives

SWE-1.7 Reviews & Ratings

SWE-1.7

Cognition