{"id":2092,"date":"2026-07-10T10:51:31","date_gmt":"2026-07-10T10:51:31","guid":{"rendered":"https:\/\/techvisor.pro\/?p=2092"},"modified":"2026-07-10T10:51:31","modified_gmt":"2026-07-10T10:51:31","slug":"ai-for-coding-chatgpt-work-and-meta-muse-spark-2026","status":"publish","type":"post","link":"https:\/\/techvisor.pro\/en\/ai-for-coding-chatgpt-work-and-meta-muse-spark-2026\/","title":{"rendered":"AI for Coding: ChatGPT Work and Meta Muse Spark 2026"},"content":{"rendered":"

AI for coding has just taken a major step forward: on July 9, 2026, OpenAI and Meta released new tools on the same day \u2014 ChatGPT Work and Muse Spark 1.1. We break down what these products are, how much they cost and why the market suddenly became crowded.<\/p>\n

ChatGPT Work: OpenAI\u2019s New AI Agent<\/h2>\n

OpenAI introduced ChatGPT Work \u2014 an AI agent that combines the familiar chatbot with the capabilities of the Codex coding tool. The goal of the product is to give office workers without programming skills access to powerful AI coding capabilities: creating documents, presentations and even entire websites directly through a regular chat.<\/p>\n

The service runs on the company\u2019s newest model \u2014 ChatGPT 5.6, which also debuted on July 9. At the same time, OpenAI released an updated ChatGPT desktop app and a new website-hosting feature directly through chat.<\/p>\n

ChatGPT Work is a direct response to Anthropic\u2019s Claude Cowork, an agent that since January 2026 has been able to independently plan and execute multi-step tasks without constant human intervention.<\/p>\n

Muse Spark 1.1: Meta Enters the AI Coding Market<\/h2>\n

\"Muse<\/p>\n

On the same day, Meta introduced Muse Spark 1.1 \u2014 according to the company\u2019s Chief AI Officer Alexandr Wang, it is the \u201cmost powerful model the company has for agentic tasks and coding\u201d to date.<\/p>\n

The first version of Muse Spark appeared back in April 2026, but only a small group of selected partners had access to it through a private API. The July 9 release is now a full public launch.<\/p>\n

Price as Meta\u2019s Main Weapon<\/h3>\n

Wang directly described Muse Spark\u2019s pricing as \u201caggressive and attractive\u201d compared with Anthropic\u2019s and OpenAI\u2019s offerings. Every new API account receives $20 in free credits at launch, and after that the price is $1.25 per million input tokens and $4.25 per million output tokens.<\/p>\n

For comparison: this is very close to the price of the cheapest ChatGPT 5.6 version \u2014 Luna, which costs $1 per million input tokens and $6 per million output tokens. The difference is minimal, which means buyers of AI coding tools now have a truly comparable price choice between two different companies for the first time.<\/p>\n

Why This Matters: The AI Coding Market Has Become Crowded<\/h2>\n

\"Why<\/p>\n

Until now, the AI coding assistant market was effectively dominated by two players \u2014 Anthropic\u2019s Claude Code and OpenAI\u2019s Codex, with GitHub Copilot as the third notable option. Now Meta is joining them with its own offering \u2014 and this is the company\u2019s first major step away from a purely open strategy with Llama models toward selling access to its own paid models.<\/p>\n

However, Meta emphasizes that it is not fully abandoning the open approach: according to Wang, the company is developing a separate open version of Muse Spark, although no exact release timeline has been announced yet.<\/p>\n

For businesses and developers choosing a tool for work, this means one thing: competition is now putting pressure on prices across the entire AI coding segment, and the choice between providers has become truly comparable for the first time.<\/p>\n

In Brief: The Key Points<\/h2>\n

\"In<\/p>\n

AI for coding is now represented by at least four serious players \u2014 and here are the key facts:<\/p>\n