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Meta's Muse Spark 1.3 launches with 1M context, dual pricing tiers

By PulseAugur Editorial · [1 sources] ·

Meta has released Muse Spark 1.3, a closed multimodal reasoning model designed for long-running agentic tasks and coding. The model boasts a 1 million token context window and scores highly on benchmarks like DeepSWE v1.1, surpassing Claude Opus 5. However, its top performance figures are derived from a gated 'max' reasoning mode, with the publicly available 'xhigh' mode showing a significant performance gap. AI

IMPACT Sets a new benchmark for long-context reasoning and agentic workflows, while its unique pricing model could influence data-sharing practices.

RANK_REASON Frontier-lab model release with system card and pricing details. [lever_c_demoted from frontier_release: ic=1 ai=1.0]

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Meta's Muse Spark 1.3 launches with 1M context, dual pricing tiers

How we ranked this

Signal score
14 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Significant
Frontier-lab model release with system card and pricing details. [lever_c_demoted from frontier_release: ic=1 ai=1.0]
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
model release, product
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
Same-day
Cluster formed today. Ranking reflects the current source set at time of score.

Full methodology in our editorial standards.

COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · Yunus Emre ·

    Muse Spark 1.3 Pricing and the Contributor Tier

    <p>Meta shipped <strong>Muse Spark 1.3</strong> on September 2, 2026: a closed multimodal reasoning model built for long-running agentic workflows, multi-agent setups and coding.</p> <p>Two numbers made the headlines. It scores <strong>75.4</strong> on DeepSWE v1.1, edging past C…

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