Sep 30, 2026 | Gemini 4 Argon delivers frontier performance in complex workflows across real-world software engineering, enterprise knowledge work like legal and finance, and cybersecurity defense. Today, we’re announcing our new frontier model, Gemini 4 Argon, which is rolling out to a set of trusted cyber defenders through our Fairwind Program.
GPT-6.1 Sol is now generally available on Amazon Bedrock, offering stronger reasoning for agentic coding, computer use and everyday professional workloads. OpenAI says it matches GPT-6 Astra on DeepSWE v1.1 at roughly one-fifth the cost per task, and exceeds GPT-6 Sol’s best result by 6.4 percentage points.
OpenAI has released GPT-6.1 Sol, which it says offers intelligence close to Astra and is aimed at coding, computer use and professional work. The model's API input and output token prices are one fifth of Astra's standard price.
OpenAI has published a DevDay 2026 recap rounding up more than 20 announcements spanning GPT-6 Astra, ChatGPT, Codex, the API, safety and new tools for developers. The original gives only an overview and does not detail each update.
xAI’s Grok 4.7 is available on Amazon Bedrock with a 500K-token context window, four configurable reasoning levels—low, medium, high and xhigh—and support for the Responses, Chat Completions and Converse APIs.
AWS announced Claude Sonnet 5.5 availability on Amazon Bedrock and Claude Platform on AWS, positioning it as a more efficient Sonnet for coding and knowledge work, with lower cost per task and faster speeds for most tasks.
OpenAI launched the next phase of Codex Originals, seeking real stories and projects from developers, researchers and creators using Codex. Interested participants can submit their experiences and project descriptions through the form below.
Proaction used Codex, GPT-Live-1 and GPT-6 Astra to build, operate and sell a modern fleet-management service, increasing sales by 60% and saving over 75 hours.
The latest GitHub Podcast examines five AI development memes. AI-generated code still needs reading and accountability, with review proportional to risk. Skills package team experience, while MCP standardises connections to tools and data; they can combine. RAG is not dead: it provides relevant information beyond training data and can coexist with agents, Skills and MCP in one workflow.
GitHub used the Copilot app and Copilot CLI to completely rewrite the Copilot agent runtime from TypeScript into over 800,000 lines of production Rust. AI agents wrote most of the code, delivered incrementally across 128 PRs, improving performance by several orders of magnitude.
Cognition uses GPT-6 Astra to improve Devin's ability to test software and demonstrate that it works, aiming to reduce engineers' code review burden and speed up delivery.
Copilot's built-in diff, terminal and browser panels enable review, execution and preview of AI code without switching applications. The diff highlights additions in green and deletions in red, supporting acceptance, comments or further edits. The terminal runs project commands with multiple windows, while the browser's Pick & Polish selects elements for agent adjustments.
César de la Fuente's lab uses Codex and ChatGPT to search the genomes of living and extinct organisms for candidate antimicrobial molecules to combat drug-resistant infections.
Mistral helped a European energy operator migrate 40,000 lines of Fortran 77 to C++, targeting a physics-heavy reservoir simulator without a test suite or centralised documentation. The team first built a numerical-alignment testing framework, used Skill.md to guide agents in exporting state snapshots and validating migrated modules, then launched over a hundred agents with Vibe CLI to analyse call trees and used Mistral OCR to organise scattered documents.
An MIT researcher used GPT-5.6 Sol with Codex to autonomously run quantum computing experiments, analyse results and calibrate qubits.
1Password engineers use Codex to rapidly build production-ready features and internal tools while maintaining strict security policies, improving engineering efficiency by 21%.
OpenAI disclosed internal data showing coding agents reshaping AI research, covering agent usage, experiment speed, task complexity and research acceleration.
GitHub released a research preview of Project HydraFusion, using runtime multi-model orchestration to deliver frontier-level coding through Copilot. Users can enable it via /experimental in GitHub Copilot CLI, paying each model's standard rates for tokens actually consumed.
Copilot app runs multiple agent sessions simultaneously in separate Git worktrees, preserving context without interference. The sessions view shows titles and progress, allowing switching and resuming without restating tasks. The article demonstrates funded sort development, accessibility review and testing in parallel in tailspin-toys.
Google DeepMind released Gemini 3.8 Flash and Gemini 3.8 Flash Cyber. The former targets long-horizon coding and autonomous agents, priced like 3.7 Flash at $0.75 per million input tokens and $3.75 per million output tokens.
Multiverse Computing published a paper proposing Quantization-Aware Healing (QAH). After compressing GPT-OSS 120B to 60B parameters and quantising it to MXFP4, the method distils directly from the original uncompressed model rather than a reconstructed bfloat16 checkpoint.
Google DeepMind released Gemini 3.7 Flash, positioning it as its strongest workhorse model for coding and agents, just three weeks after Gemini 3.6 Flash.
Hugging Face released ScarfBench (Self-Contained Application Refactoring Benchmark) to evaluate AI agents migrating enterprise Java applications between Spring, Jakarta EE and Quarkus.
Mistral released an AI stack for industrial engineering at AI Now Summit 2026, partnering with Airbus, BMW and ASML to optimise design, simulation and production while retaining control over proprietary data and IP.
Mistral upgraded Le Chat to Vibe, a unified AI agent covering work and coding, retaining all existing conversations, settings and subscription plans.
Mistral released Mistral Medium 3.5, its first 128B dense model combining instruction following, reasoning and coding. Its weights are available under a modified MIT licence, with a 256k context window and self-hosting possible on a minimum of four GPUs.
Google DeepMind launched the Gemini 3.5 family with 3.5 Flash, focusing on agents and coding. It is available from today in the Gemini app, Google Search AI Mode, Google Antigravity, Gemini API and Gemini Enterprise.
Google DeepMind published a year’s progress for AlphaEvolve. The Gemini-powered coding agent has expanded from open problems in mathematics and computer science into genomics, power grids, quantum physics and AI infrastructure.
Mistral AI released Leanstral, the first open-source coding agent for Lean 4, using a sparse architecture with 6B active parameters. Its weights are available under Apache 2.0, and it is integrated into Mistral vibe and the free labs-leanstral-2603 API endpoint.
Mistral built an autonomous agent on its open-source coding assistant Vibe to read Rails source files, generate or improve RSpec tests and run within CI/CD without human intervention.
Mistral released the terminal coding agent Mistral Vibe 2.0, powered by the Devstral 2 model family, adding custom subagents, multiple-choice clarifications, slash-command skills, unified agent modes and automatic updates.
Mistral AI released the next-generation Devstral 2 coding family, including 123B Devstral 2 under a modified MIT licence and 24B Devstral Small 2 under Apache 2.0, both open-source.
Mistral AI released Codestral 25.08 and a complete enterprise coding stack comprising Codestral, Codestral Embed, Devstral and the Mistral Code IDE plugin.
Mistral AI partnered with All Hands AI to release Devstral Medium and upgrade Devstral Small 1.1.
Mistral released Mistral Code, an AI coding assistant combining Codestral, Codestral Embed, Devstral and Mistral Medium. It supports cloud, dedicated-capacity and local air-gapped GPU deployment, keeping code within enterprise boundaries.
Mistral AI released its first code-focused embedding model, Codestral Embed, outperforming Voyage Code 3, Cohere Embed v4.0 and OpenAI's large embedding model on real-world code retrieval.
Mistral AI and All Hands AI jointly released Devstral, an agentic LLM for software engineering tasks, open-source under Apache 2.0.