What is Meta Muse Spark 1.3?

Muse Spark 1.3 is Meta’s proprietary multimodal reasoning model designed for agentic software engineering, repository-level codebase comprehension, and scientific problem-solving with a 1,000,000 token context window.

What are the differences between Muse Spark 1.3 xhigh and max?

Muse Spark 1.3 (xhigh) is publicly available via the Meta Model API and Muse Code, scoring 61 on the Artificial Analysis Intelligence Index. Muse Spark 1.3 (max) is a gated partner-preview tier scoring 62, featuring extended test-time search and deeper calibration on irreversible actions.

How does Muse Spark 1.3 perform on coding benchmarks?

The model scored 75.4% on DeepSWE 1.1 (surpassing Claude Opus 5 and GPT-5.6 Sol), 88.8% on Terminal-Bench 2.1, and 59.4% on SWEAtlas CodeBase QnA.

What is the token pricing for Muse Spark 1.3 on the Meta Model API?

Standard commercial pricing is $1.25 per million input tokens and $5.00 per million output tokens. Meta also offers a discounted contributor tier for teams permitting anonymized data sharing.

How does Muse Spark 1.3 reduce agent compute costs?

Through calibrated action gating, the model asks clarifying questions before issuing destructive terminal commands, completing real-world software tasks with 20% fewer tool invocations and 25% fewer token completions compared to version 1.2.

Meta Muse Spark 1.3 Deep Report: Benchmarks, DeepSWE & API Guide

A technical analysis of Meta’s Muse Spark 1.3 (xhigh and max tiers). Covers Artificial Analysis Intelligence Index scores of 61-62, 75.4% on DeepSWE 1.1, 98.5% long-context retrieval, 20% reduction in agent tool calls, and Meta Model API pricing at $1.25 per million input tokens.

# Meta Releases Muse Spark 1.3: DeepSWE 75.4% Benchmark, 1M Context Window, and Meta Model API Guide Meta launched **Muse Spark 1.3**, its next-generation proprietary reasoning foundation model developed specifically for autonomous software engineering, repository navigation, and agentic tool use. Deployed directly into **Muse Code** and the **Meta Model API**, Muse Spark 1.3 enters production in two operational tiers: the publicly accessible **Muse Spark 1.3 (xhigh)** and a gated partner-preview tier, **Muse Spark 1.3 (max)**. On the independent **Artificial Analysis Intelligence Index**, Muse Spark 1.3 (xhigh) scored **61**, matching frontier flagships including GPT-5.6 Sol, Grok 4.6, and Claude Opus 5. The partner-preview (max) model posted an Index score of **62**. In empirical coding and retrieval evaluations, Muse Spark 1.3 established new high-water marks: - **75.4% on DeepSWE 1.1**, leading all commercial models in multi-file repository bug resolution. - **88.8% on Terminal...