# Muse Spark 1.1 + Meta Model API: Preference Share at Undercut Prices

Times of AI Desk · 2026-07-09 · Models

[https://timesof.ai/2026/07/meta-muse-spark-1-1-model-api](https://timesof.ai/2026/07/meta-muse-spark-1-1-model-api)

> Meta shipped Muse Spark 1.1 and a public Meta Model API preview—$1.25/$4.25, Arena text ~#6 mid-month. Closed MSL coding/agent API against Anthropic and OpenAI, not open weights; Watermelon still training.

July 9 was already the public unlock for **GPT‑5.6** and the week of **Grok 4.5**. Muse Spark 1.1 is Meta’s answer on the **paid coding/agent API** front—not open weights, not “Llama 5,” but a closed MSL model sold through a **Meta Model API**. Pricing plus a **top-10 Arena text** slot is the independent story: Meta is buying **preference share** on blind chat while undercutting closed frontier APIs.

**Meta** on **July 9, 2026** introduced **Muse Spark 1.1**, a major upgrade from the April **Muse Spark** release, and opened a **public preview** of the **Meta Model API** so developers can build on it. Meta positions 1.1 as a multimodal reasoning model built for **agentic work**—tool and computer use, coding on large codebases, multi-agent orchestration, and a **1M-token** context window—available now in **Thinking** mode in the **Meta AI** app and on **meta.ai**. The same week Meta shipped **Muse Image** (July 7); Watermelon, a larger training run, remains unreleased.

## What Meta shipped

From Meta’s primary blog “Introducing Muse Spark 1.1” (ai.meta.com, July 9) and contemporaneous Reuters/CNBC/Axios/NYT coverage:

**Model**
- **Muse Spark 1.1**: Multimodal reasoning model with “major gains” in tool/computer use, coding, and multimodal understanding vs Muse Spark.
- **Agents**: Zero-shot generalization to native tools, **MCP servers**, and custom skills; multi-agent planning with parallel subagents for latency; active management of a **1 million token** context window (memory, retrieval, compaction).
- **Computer use**: Multi-app workflows; script automation when faster than click-by-click UI; batch action generation; adapts when mid-task context changes.
- **Coding**: Stronger on large/complex codebases; works with popular agentic coding harnesses. Meta cites large gains on internal **Meta Internal Coding Bench**.
- **Multimodal**: Visual-to-code, dense image/video captioning, perception + action loops.
- **Safety**: Evaluated under Meta’s Advanced AI Scaling Framework; claim of safe margins on chem/bio, cyber, and loss-of-control categories (per Meta evaluation report).

**Access & packaging**
- **Meta AI / meta.ai**: Available now in **Thinking** mode.
- **Meta Model API**: **Public preview**—first time external developers get broad API access (April Spark had been private/select partners only).
- Early partner quotes: **Replit**, **Cline**, **Box**, **OpenClaw**.
- **Pricing (CNBC, Wang interview)**: **$1.25 / $4.25** per million input/output tokens; **$20** free credits for new API accounts; preview access reported as U.S.-first.
- **Alexandr Wang** (Meta CAIO): strongest model yet for agentic and coding work; **Watermelon** still training at much larger scale, later this year.

## Claims vs checks

| Source | Snapshot | Standing |
|--------|----------|----------|
| **Arena Text Overall** | Board dated **Jul 16, 2026** | **muse-spark-1.1** at **1493 ±8** (preliminary, ~5,729 votes) — **#6** overall; only Fable 5 and several Claude Opus thinking variants sit clearly higher |
| **Arena (official posts)** | Launch week | Earlier mid-week reads placed Spark 1.1 roughly **#17** before more votes moved it up—treat Jul 16 board as the firmer mid-month snapshot |
| **Artificial Analysis** | Mid-July cluster writeups | Top-**15** Intelligence Index band; strong on **MCP Atlas / agentic tool-use** slices; **not** the #1 intelligence model (Fable/Sol still lead the 50+ club) |

Internal Meta Coding Bench gains are vendor tables; AA and Arena are the independent cross-checks.

## Limits

- API pricing cited via CNBC/Wang interview—confirm against live Meta console.
- Arena ranks moved within the launch week; Jul 16 is a dated snapshot.
- Watermelon remains unreleased; 1.1 is not the larger training bet.
- Preview reported U.S.-first.

## Sources

- [Meta AI Blog: “Introducing Muse Spark 1.1” (July 9, 2026)](https://ai.meta.com/blog/introducing-muse-spark-meta-model-api)
- Meta: Muse Spark 1.1 Evaluation Report / methodology (linked from the launch post).
- Arena.ai Text Overall leaderboard snapshot (July 16, 2026); Arena / Meta social rank notes launch week.
- Artificial Analysis mid-July Intelligence Index cluster coverage (six labs above 50).
- Reuters, CNBC, Axios, New York Times same-day coverage of Muse Spark 1.1 and developer API preview (July 9, 2026).