# Cognition — Introducing SWE-2 Flash

- Company: Cognition (cognition.com)
- Announced: 2026-11-04T18:00:00+00:00
- Category: new-model
- Coverage: not counted
- Announcement: yes
- Group: models
- Source: https://cognition.com/blog/swe-2-flash
- Record: https://forck.live/items/31732-introducing-swe-2-flash
- Subject: Devin / SWE
- Models affected: SWE-2 Flash, Inkling-Small, SWE-2
- Pricing: one-fifth the price and 3x the speed of its much larger sibling, SWE-2

Cognition introduced SWE-2 Flash, a coding model it says outperforms all American open-weight models, including ones three times larger, and made it available in Devin Desktop and CLI. The model is offered at one-fifth the price and three times the speed of its larger sibling, SWE-2, aimed at everyday engineering work such as automations, code review, feature development and documentation updates. Cognition says it added a mid-training stage before reinforcement learning for the first time, which lifted Terminal-Bench 4.0 from 0.9% to 20.0% and FrontierCode 2.0 from 3.2% to 24.0% over the base model, Inkling-Small from Thinking Machines. Mid-training ran on a few trillion tokens of scientific articles, blogs and code, split into three stages so the scarcest, highest-quality data came later, followed by large-scale reinforcement learning with audited tasks and new task types. Cognition says it targeted cybersecurity work in training, raising ExploitBench from 11.3% to 34.8%, and is not sharing the weights publicly yet because the same capabilities could aid attackers. Instead it is building a program to securely share the weights with trusted industry partners and research labs, with more details promised in a few weeks.

## Evidence

Verbatim from https://cognition.com/blog/swe-2-flash:

> We’re introducing SWE-2 Flash, a fully American coding model that sets a new bar for intelligence at low cost and high speed. For the first time, we added a mid-training stage before reinforcement learning in our recipe. This results in significant gains over the base model, Inkling-Small from Thinking Machines, improving Terminal-Bench 4.0 from 0.9% to 20.0% and FrontierCode 2.0 from 3.2% to 24.0%.
> 
> On leading evals, SWE-2 Flash outperforms all American open-weight models, even models that are 3x larger. To balance transparent access and cyber risks, we are building a program to securely share the weights with industry partners and researchers.
> 
> As model capabilities continue to advance, we remain focused on lowering the cost of everyday engineering work in addition to pushing the capabilities frontier. Today, smaller models are increasingly able to handle a significant portion of the work that software agents do, such as automations, code review, feature development, and updating documentation.
> 
> We developed SWE-2 Flash to satisfy this growing need. It is available today in Devin Desktop and CLI , at one-fifth the price and 3x the speed of its much larger sibling, SWE-2.

## Follow-ups

- Unite.AI (reported, 4 Nov): Cognition Launches SWE-2 Flash for Faster, Lower-Cost Coding Agents — https://forck.live/items/31752-cognition-launches-swe-2-flash-for-faster-lower-cost-coding-agents

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