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CognitionSeptember 10, 2026

SWE-2

Featured on Blog
Paid
AI Coding Agent
Reinforcement Learning
Software Engineering
Autonomous Agents

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Featured
Cognition Releases SWE-2 Coding Model Based on Kimi K3

🔥 This release made it to our blog

Cognition Releases SWE-2 Coding Model Based on Kimi K3

Cognition has released SWE-2, post-training Kimi K3 to match leading coding benchmarks while lowering inference costs across multiple effort levels.

### TL;DR

SWE-2 is an advanced agentic coding model designed to push the Pareto frontier of capability and cost-efficiency. It utilizes a novel reinforcement learning (RL) algorithm that trains across multiple reasoning-effort levels in a single run, enabling high-performance software engineering tasks at a fraction of the cost of previous frontier models.

Key Insights & Metrics

Pricing
Available via Devin platform subscription
Cost structure
Version
2.0
Current release version
Hardware
Cloud-based; requires access to Cognition's infrastructure via Devin Desktop, CLI, or Web
Compute requirements
Category
Paid
Licensing model
Region
United States
Primary region

Key Features

  • Multi-trillion-parameter RL training
  • Pareto-informed cost penalties for optimized effort-level scaling
  • Length-weighted reward baseline for training stability
  • Integrated online draft-model training for high-throughput inference
  • Focused exploration capabilities reducing redundant steps and costs
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