All tasks / Comparisons

MiniMax-M3 vs Muse Spark 1.3

Compared only on public benchmark results, across the 7 tasks where both are listed: Muse Spark 1.3 is a tier higher in 6 of 7 shared tasks, they share a tier in 1.

MiniMax-M3

MiniMax's open-weights MoE model line; M3 is natively multimodal with ~428B total and ~23B activated parameters.

Vendor
MiniMax
Weights
Open: run it yourself
Released
1 Jun 2026
API price
$0.3 in / $1.2 out per 1M tokens
GPU memory to run locally
~245 GB
License
MiniMax Community License
Last verified
18 Oct 2026

Alternatives to MiniMax-M3

Muse Spark 1.3

Meta's mid-tier proprietary Muse model line, offered through Meta's API.

Vendor
Meta
Weights
Closed: API and apps only
Released
Sep 2026
API price
$1.25 in / $4.25 out per 1M tokens
License
proprietary
Last verified
18 Oct 2026

Alternatives to Muse Spark 1.3

Task by task

TaskMiniMax-M3Muse Spark 1.3Higher tier
Chat & assistants
Models
A1,441 on LMArena Text Arena (overall, style control) · LocalS1,494 on LMArena Text Arena (overall, style control) · CloudMuse Spark 1.3
Writing
Models
B1,405 on LMArena Text Arena: Creative Writing (style control) · LocalA1,461 on LMArena Text Arena: Creative Writing (style control) · CloudMuse Spark 1.3
Coding
Models
C1,482 on LMArena WebDev / Code Arena (overall) · LocalB1,659 on LMArena WebDev / Code Arena (overall) · CloudMuse Spark 1.3
Image understanding
Models
A1,236 on LMArena Vision Arena (overall, style control) · LocalS1,290 on LMArena Vision Arena (overall, style control) · CloudMuse Spark 1.3
Vector graphics & logos
Models
C1,160 on Design Arena SVG · LocalC1,323 on Design Arena SVG · CloudSame tier
Browser & computer agents
Models
C4.6% on OSWorld 2.0 (end-to-end models) · LocalA39.3% on OSWorld 2.0 (end-to-end models) · CloudMuse Spark 1.3
Slides & presentations
Models
B1,205 on Design Arena Python-PPTX Slides · LocalA1,244 on Design Arena Python-PPTX Slides · CloudMuse Spark 1.3

A tier spans a range of scores, and small gaps on a leaderboard are often within its margin of error, so only a different tier counts as ahead. How we rank.

Same benchmark, both results

BenchmarkMiniMax-M3Muse Spark 1.3Snapshot
Artificial Analysis Intelligence Index
Composite index over Artificial Analysis' own evaluation suite, higher is better
294818 Oct 2026
Artificial Analysis MMMU-Pro (independent evaluation)
Accuracy on MMMU-Pro (multi-discipline multimodal questions over images), as run by Artificial Analysis, higher is better
78.6%82%19 Oct 2026
Design Arena Python-PPTX Slides
Elo rating from crowdsourced blind pairwise votes on PowerPoint decks that models build with python-pptx in Design Arena's agent harness, higher is better
1,2051,24418 Oct 2026
Design Arena SVG
Elo rating from crowdsourced blind pairwise votes on SVG markup that models generate from a prompt (icons, illustrations, diagrams, artistic compositions), higher is better
1,1601,32319 Oct 2026
LMArena Text Arena (overall, style control)
Arena score (Bradley-Terry rating from pairwise human votes, style-controlled default view), higher is better
1,4411,49415 Oct 2026
LMArena Text Arena: Creative Writing (style control)
Arena score (Bradley-Terry rating from pairwise human votes, creative-writing prompts only, style-controlled view), higher is better
1,4051,46115 Oct 2026
LMArena Vision Arena (overall, style control)
Arena score (Bradley-Terry rating from pairwise human votes on image + text prompts, style-controlled view), higher is better
1,2361,2909 Oct 2026
LMArena WebDev / Code Arena (overall)
Arena score (Bradley-Terry rating from pairwise human votes on web-app generation), higher is better
1,4821,65918 Oct 2026
OSWorld 2.0 (end-to-end models)
Binary accuracy: share of 108 long-horizon computer-use workflows fully completed (default view: 500-step budget, full task set), higher is better
4.6%39.3%15 Oct 2026