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Released September 2026

Muse Spark 1.3: Release Intelligence, Performance & Price

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Model summary

IntelligenceUpdated

36
Artificial Analysis Intelligence Index
2 out of 4 units for Intelligence.

Speed

195.2
Output tokens per second
4 out of 4 units for Speed.

Cost

In $1.25Out $4.25Cache Discount 88%
$2.39
Cost per Intelligence Index task
2 out of 4 units for Cost.

Verbosity

120M
Output tokens from Intelligence Index
4 out of 4 units for Verbosity.

The Muse Spark 1.3 release offers 2 models, each with different intelligence, performance, and pricing characteristics. Below is a comparison of the key metrics across the 2 models.

  • For intelligence, the top model of Muse Spark 1.3 is Muse Spark 1.3 (Max) at 36.
  • For output speed, the fastest model is Muse Spark 1.3 (Xhigh) at 355 t/s.
  • For latency, Muse Spark 1.3 (Xhigh) at 22.02s offers the lowest time to first answer token.
  • For pricing, Muse Spark 1.3 (Max) at $2.39 offers the lowest cost per task.

Updated
Artificial Analysis Intelligence Index · Higher is better
No publicly available API
Output tokens per second · Higher is better
No publicly available API
Weighted average cost (USD) per Intelligence Index task · Lower is better
No publicly available API

IntelligenceUpdated

Artificial Analysis Intelligence Index

Artificial Analysis Intelligence Index v5.0 incorporates 9 evaluations: AA-Briefcase v1.1, AutomationBench-AA, Terminal-Bench 4.0, FrontierCode 2.0, AA-Omniscience v1.1, GDP.pdf, HLE-Diamond, CritPt v2 (Hard Subset), and Terminal-Bench-Science 0.1
No publicly available API

Intelligence Index vs. Cost per Task

Artificial Analysis Intelligence Index · Weighted average cost (USD) per Artificial Analysis Intelligence Index task
Most attractive quadrant
Pareto line

Cost

Cost per Intelligence Index Task

Weighted average cost (USD) per Intelligence Index task · Segmented by token type · Lower is better
No publicly available API

Speed & Latency

Output Speed

Output tokens per second · Higher is better
No publicly available API

Capability Scores

Capability Indexes

Measures the performance of models on specific capabilities and industries
Finance & Accounting Index

Incorporates 5 evaluations: AA-Briefcase v1.1, AA-Omniscience v1.1, HLE-Diamond, AutomationBench-AA, GDP.pdf · Higher is better

Strategy & Ops Index

Incorporates 4 evaluations: AutomationBench-AA, AA-Briefcase v1.1, AA-Omniscience v1.1, GDP.pdf · Higher is better

Legal Index

Incorporates 5 evaluations: AA-Omniscience v1.1, AA-Briefcase v1.1, HLE-Diamond, GDP.pdf, AutomationBench-AA · Higher is better

Healthcare & Medical Index

Incorporates 5 evaluations: AA-Omniscience v1.1, AA-Briefcase v1.1, MLCR-AA, AutomationBench-AA, HLE-Diamond · Higher is better

Engineering Index

Incorporates 7 evaluations: AA-Omniscience v1.1, CritPt v2 (Hard Subset), Terminal-Bench-Science 0.1, HLE-Diamond, Terminal-Bench 4.0, FrontierCode 2.0, AA-Briefcase v1.1 · Higher is better

Economics Index

Incorporates 4 evaluations: AA-Briefcase v1.1, AA-Omniscience v1.1, HLE-Diamond, GDP.pdf · Higher is better

Evaluations

Evaluations measured independently by Artificial Analysis · AA-PersonalityBench scores are percentile ranks from 1 to 100
See more
No publicly available API

Agentic knowledge work, Elo

1 - hallucination rate

Agentic SaaS workflows

Agentic scientific research workflows in a terminal

Agentic software engineering in open-source repositories

Reasoning & knowledge

Professional document reasoning, All-pass

Agentic coding & terminal use

Physics reasoning

Quantitative analysis on spreadsheets & documents

Legal agentic work, Hallucination-Gated All-Pass Rate

Agentic real-world work tasks, Elo

Agentic interactive 3D experiences, Elo

Product and brand videos designed in code, Elo

Kubernetes incident root-cause analysis

MLCR-AAUpdated

Medical long context reasoning

Visual reasoning

Rich, varied, well-crafted language

Well-structured, scannable, answer-first

Truthful, acknowledges uncertainty, non-sycophantic

Use of filler and generic language

AA-PersonalityBenchNew

Personality Indexes

Each axis is one of 8 personality indexes: the mean of its traits’ Elo z-scores, percentile ranked from 1 to 100 across all models evaluated in the benchmark

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Further details

Weights
Provider Benchmarks
Muse Spark 1.3 (Max)
Meta logoMeta
36
-
1M
$0.8
195
Not available
Meta
Muse Spark 1.3 (Xhigh)
Meta logoMeta
-
-
1M
$0.8
355
Not available
Meta