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What is SWE-2 Flash?

SWE-2 Flash is an AI coding and software engineering model developed by Cognition to deliver high-speed programming capabilities with lower inference costs than larger frontier models. The model uses a 276-billion-parameter mixture-of-experts architecture with approximately 12 billion active parameters, based on Thinking Machines' Inkling-Small foundation model. Cognition enhances the underlying model through a dedicated mid-training process followed by large-scale reinforcement learning focused on software engineering and general reasoning tasks. Its training incorporates several trillion tokens of carefully selected technical material, including source code, scientific publications, articles, and other datasets relevant to complex problem-solving. SWE-2 Flash supports automated code generation, software maintenance, code reviews, feature development, documentation updates, and other tasks performed by autonomous development agents. The model is optimized for efficient inference and generates approximately 200 tokens per second, compared with approximately 60 tokens per second for the larger SWE-2 model. Cognition reports that SWE-2 Flash operates at one-fifth the cost of SWE-2 while maintaining competitive performance across several software engineering evaluations. Its published benchmark results include 24.0% on FrontierCode 2.0, 45.5% on FrontierCode 1.1 Main, 60.1% on DeepSWE 1.1, and 89.9% on SWE-Bench Pro v2 Hard. The model also demonstrates cybersecurity-related capabilities, achieving 34.8% on ExploitBench compared with 11.3% for its original foundation model. Developers can access SWE-2 Flash through Devin Desktop and CLI for interactive programming assistance and agent-driven engineering workflows. Cognition is developing a secure program for sharing model weights with approved industry partners and research organizations, potentially enabling fine-tuning and deployment on private or on-premises infrastructure.

What is Nemotron 3.5 Bolt?

NVIDIA Nemotron 3.5 Bolt is a family of open artificial intelligence models developed to provide efficient reasoning, autonomous agent capabilities, and conversational intelligence on local computing hardware. Introduced in October 2026, the series includes Nemotron 3.5 Bolt 74B-A9B 24GB and Nemotron 3.5 Bolt E4B 4GB. The 74B-A9B variant uses a mixture-of-experts architecture containing 74 billion total parameters, with approximately 9 billion parameters activated during inference. Its native 2-bit quantization enables deployment within approximately 24GB of memory while preserving resources for other applications. The model is designed for agentic workflows that require reasoning, instruction following, tool interactions, and execution of multiple connected tasks. Developers can use Bolt 74B-A9B with local agent frameworks to conduct web research, generate software, analyze code, investigate programming errors, and perform debugging activities. NVIDIA reports strong results on agent benchmarks including PinchBench and BrowseComp, which evaluate autonomous task completion and information retrieval capabilities. The smaller Bolt E4B variant is designed for low-latency conversational AI, supporting local voice assistants, interactive game characters, and embedded interfaces. Its 4GB memory footprint makes it suitable for compatible GeForce RTX, NVIDIA Jetson, and DGX Spark systems that require efficient local inference. Running these models locally allows organizations to retain greater control over sensitive application data, reduce dependence on cloud inference, and integrate AI capabilities into existing software environments. Nemotron 3.5 Bolt 74B-A9B is available through Hugging Face with support for llama.cpp, Ollama, LM Studio, Unsloth, and vLLM, while Bolt E4B is scheduled for release on October 23, 2026.

Media

Media

Integrations Supported

.NET
C
C#
C++
CSS
Devin
Go
JSON
Kubernetes
Lua
MATLAB
Objective-C
PHP
Python
R
Rust
YAML

Integrations Supported

Hugging Face Transformers
NVIDIA NIM
OpenRouter

API Availability

API Availability

Has API

Pricing Information

$20/month
Free Version

Pricing Information

Free
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS
On-Prem
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Not specified

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

NVIDIA

Date Founded

1993

Company Location

United States

Company Website

nvidia.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

Foundation Models

Not specified

Large Language Models

Not specified

Multimodal Models

Not specified

Open-Weight AI Models

Not specified

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