<!-- mobian-agent-page publisher="dailydev" canonical="https://daily.dev/posts/meta-enters-the-crowded-ai-coding-battle-with-muse-spark-1-1-wtfjrleyt" -->

---
title: Meta enters the crowded AI coding battle with Muse Spark 1.1
description: Meta has publicly launched Muse Spark 1.1, a multimodal AI model targeting agentic coding tasks such as bug fixing, large code migrations, and enterprise...
canonical: https://daily.dev/posts/meta-enters-the-crowded-ai-coding-battle-with-muse-spark-1-1-wtfjrleyt
twitter:card: summary_large_image
twitter:site: @dailydotdev
og:type: website
og:site_name: daily.dev
og:title: Meta enters the crowded AI coding battle with Muse Spark 1.1 | daily.dev
og:description: Meta has publicly launched Muse Spark 1.1, a multimodal AI model targeting agentic coding tasks such as bug fixing, large code migrations, and enterprise...
og:url: https://daily.dev/posts/meta-enters-the-crowded-ai-coding-battle-with-muse-spark-1-1-wtfjrleyt
og:image: https://api.daily.dev/og/posts/WtfJrLEyt.png
og:image:alt: Meta enters the crowded AI coding battle with Muse Spark 1.1
og:image:width: 1200
og:image:height: 630
og:locale: en
---

> ## Documentation Index
> Fetch the complete documentation index at: https://daily.dev/llms.txt
> Use this file to discover all available pages before exploring further.

# Meta enters the crowded AI coding battle with Muse Spark 1.1

**[TechCrunch](https://daily.dev/sources/tc)** · 3 min read · 1 upvotes · 0 comments

## Summary

Meta has publicly launched Muse Spark 1.1, a multimodal AI model targeting agentic coding tasks such as bug fixing, large code migrations, and enterprise workflow automation. Priced at $1.25 per million input tokens and $4.25 per million output tokens, it positions itself competitively against Anthropic's Claude Haiku 4.5 and OpenAI's GPT-5.6 Luna. CEO Mark Zuckerberg broke a three-year silence on X to promote the release, highlighting its strengths in agentic performance, tool use, and computer use. The launch is part of a broader wave of AI model releases this week, including Grok 4.5 and OpenAI's GPT-5.6 family.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://techcrunch.com/2026/07/09/meta-enters-the-crowded-ai-coding-battle-with-muse-spark-1-1>

## Questions this post answers

### How much does Meta charge for Muse Spark 1.1 per token?

Meta charges $1.25 per million input tokens and $4.25 per million output tokens for Muse Spark 1.1. This pricing is slightly above Anthropic's Claude Haiku 4.5 and OpenAI's GPT-5.6 Luna, positioning Spark as a competitively priced option for agentic coding and large-scale automation tasks aimed at enterprise customers.

_Comparing agentic coding model pricing gets easier when daily.dev surfaces these cost breakdowns as they happen._

### What can Meta's Muse Spark 1.1 model do for agentic coding tasks?

Muse Spark 1.1 handles multi-step reasoning, manages digital workflows, deploys new features in enterprise systems, fixes bugs, and assists with large code migrations. Meta describes it as excelling at planning and orchestration across external apps and services, positioning it against similar agentic coding models from Anthropic and OpenAI.

_Developers weighing agentic coding tools track capability claims like these through daily.dev._

### When did Meta first announce Muse Spark and how does version 1.1 differ?

Meta first announced Muse Spark in April, and version 1.1 launched as a public release with expanded agentic and coding capabilities, including multi-step reasoning and enterprise workflow deployment. The launch coincided with CEO Mark Zuckerberg posting on X for the first time in three years to promote the model.

_Following how fast-moving AI model releases stack up matters for anyone picking a coding assistant, and daily.dev helps track that pace._

## Similar posts on daily.dev

- [Meta debuts Muse Spark 1.1 and it isn’t free](https://daily.dev/posts/meta-debuts-muse-spark-1-1-and-it-isn-t-free-h3ju1gqtf) · The New Stack · 6 upvotes · 0 comments
- [Meta’s Muse Spark: a smaller, faster AI model for broad app deployment](https://daily.dev/posts/meta-s-muse-spark-a-smaller-faster-ai-model-for-broad-app-deployment-rxhf7mbsh) · InfoWorld · 2 upvotes · 0 comments

---

Tags: [#llm](https://daily.dev/tags/llm), [#anthropic](https://daily.dev/tags/anthropic), [#agentic-ai](https://daily.dev/tags/agentic-ai)

[View this post on daily.dev](https://daily.dev/posts/meta-enters-the-crowded-ai-coding-battle-with-muse-spark-1-1-wtfjrleyt)

```json
{"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]}
{"@context":"https://schema.org","@type":"TechArticle","headline":"Meta enters the crowded AI coding battle with Muse Spark 1.1","url":"https://daily.dev/posts/meta-enters-the-crowded-ai-coding-battle-with-muse-spark-1-1-wtfjrleyt","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/meta-enters-the-crowded-ai-coding-battle-with-muse-spark-1-1-wtfjrleyt"},"datePublished":"2026-07-09T19:40:55.454Z","dateModified":"2026-09-14T08:27:38.704Z","description":"Meta has publicly launched Muse Spark 1.1, a multimodal AI model targeting agentic coding tasks such as bug fixing, large code migrations, and enterprise...","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/8918861295e62ef481d267596886bfa4?_a=AQAEuop","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/8918861295e62ef481d267596886bfa4?_a=AQAEuop","isAccessibleForFree":true,"articleSection":"TechCrunch","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"TechCrunch","logo":"https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/tc","url":"https://daily.dev/sources/tc"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/meta-enters-the-crowded-ai-coding-battle-with-muse-spark-1-1-wtfjrleyt","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":1},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"llm,anthropic,agentic-ai","timeRequired":"PT3M"}
{"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"TechCrunch","item":"https://daily.dev/sources/tc"},{"@type":"ListItem","position":3,"name":"Meta enters the crowded AI coding battle with Muse Spark 1.1"}]}
{"@context":"https://schema.org","@type":"FAQPage","@id":"https://daily.dev/posts/meta-enters-the-crowded-ai-coding-battle-with-muse-spark-1-1-wtfjrleyt#faq","mainEntity":[{"@type":"Question","name":"How much does Meta charge for Muse Spark 1.1 per token?","acceptedAnswer":{"@type":"Answer","text":"Meta charges $1.25 per million input tokens and $4.25 per million output tokens for Muse Spark 1.1. This pricing is slightly above Anthropic's Claude Haiku 4.5 and OpenAI's GPT-5.6 Luna, positioning Spark as a competitively priced option for agentic coding and large-scale automation tasks aimed at enterprise customers. Comparing agentic coding model pricing gets easier when daily.dev surfaces these cost breakdowns as they happen."}},{"@type":"Question","name":"What can Meta's Muse Spark 1.1 model do for agentic coding tasks?","acceptedAnswer":{"@type":"Answer","text":"Muse Spark 1.1 handles multi-step reasoning, manages digital workflows, deploys new features in enterprise systems, fixes bugs, and assists with large code migrations. Meta describes it as excelling at planning and orchestration across external apps and services, positioning it against similar agentic coding models from Anthropic and OpenAI. Developers weighing agentic coding tools track capability claims like these through daily.dev."}},{"@type":"Question","name":"When did Meta first announce Muse Spark and how does version 1.1 differ?","acceptedAnswer":{"@type":"Answer","text":"Meta first announced Muse Spark in April, and version 1.1 launched as a public release with expanded agentic and coding capabilities, including multi-step reasoning and enterprise workflow deployment. The launch coincided with CEO Mark Zuckerberg posting on X for the first time in three years to promote the model. Following how fast-moving AI model releases stack up matters for anyone picking a coding assistant, and daily.dev helps track that pace."}}]}
```

