Skip to main content
AI Choice EngineAI Choice Engine

Meta

Muse Spark 1.3

Muse Spark 1.3 is a Meta model with 1M context, $1.25 in / $4.25 out per million tokens, last verified September 5, 2026. Open weights: no. Public-board scores are linked to the publisher; vendor-only figures stay in the watch-out, not on the board.

Muse Spark 1.3 is Meta's September 2026 frontier refresh — a self-reported DeepSWE 1.1 field leader at $1.25/$4.25, with a 1M-token context aimed at autonomous agent workflows.

Catalog record checked September 5, 2026Individual provider fields may change

AI model specification details
SpecificationMuse Spark 1.3
ProviderMeta
TierFrontier
Context window1M
Max output131K
Input / 1M tokens$1.25
Output / 1M tokens$4.25
WeightsClosed
ParametersMeta frontier model
Reasoning levelslow, medium, high
Modalitiestext, image
API model idmuse-spark-1.3
ReleasedSeptember 2, 2026

Pricing tiers: $1.25/$4.25 per MTok on Meta's Model API (cached input $0.15); a $0.10/$0.20 'contributor' tier applies when your data is used for training. Third-party reports put list at $1.50/$7.50 from 2027-01-01 — confirm before long-term commits.

Verified evidence

Published benchmark results

Each result keeps its source and measurement date visible. A missing benchmark is not treated as a zero.

Published benchmark results for Muse Spark 1.3
BenchmarkScoreMeasuredSource
DeepSWE 1.175.42026-09-02Meta launch table · View source
Terminal-Bench 2.188.82026-09-03Meta launch table (transcribed by explainx.ai) · View source

Best for

  • Long-horizon coding agents
  • Frontier quality below frontier pricing
  • Meta ecosystem

Watch out

The headline 75.4% DeepSWE score comes from the 'max' thinking mode, which is not broadly available yet and is pending independent verification. The 131,072 output cap is per third-party API docs — Meta's own spec page does not publish it. Closed weights, unlike Muse Spark 1.1.

History

Muse Spark 1.3 timeline

Release and status events for this model that passed two-source verification — dated, sourced, and linked.

Common questions

Muse Spark 1.3

Answered from the verified figures on this page rather than general guidance.

How much does Muse Spark 1.3 cost per million tokens?

Muse Spark 1.3 is listed at $1.25 per million input tokens and $4.25 per million output tokens at standard rates. Output tokens usually dominate real bills, so weigh the output rate more heavily than the input rate. $1.25/$4.25 per MTok on Meta's Model API (cached input $0.15); a $0.10/$0.20 'contributor' tier applies when your data is used for training. Third-party reports put list at $1.50/$7.50 from 2027-01-01 — confirm before long-term commits.

What is Muse Spark 1.3's context window?

Muse Spark 1.3 accepts about 1M tokens of context. That only matters if you routinely send very long documents, large codebases, or multi-turn histories that approach that limit.

What is Muse Spark 1.3 best for?

Muse Spark 1.3 is a frontier tier from Meta. It suits long-horizon coding agents, frontier quality below frontier pricing, meta ecosystem. The headline 75.4% DeepSWE score comes from the 'max' thinking mode, which is not broadly available yet and is pending independent verification. The 131,072 output cap is per third-party API docs — Meta's own spec page does not publish it. Closed weights, unlike Muse Spark 1.1.