Muse Spark 1.3 vs Qwen3.8-Max

  • Muse Spark 1.3 rates higher on LMArena’s text leaderboard: 1491 against 1484.
  • Muse Spark 1.3 is cheaper: $1.25 / $4.25 per million input / output tokens, against $2 / $6 for Qwen3.8-Max.
  • On the 5 Vals AI benchmarks both have taken, Muse Spark 1.3 wins 2 and Qwen3.8-Max wins 3 (Muse Spark 1.3: Vibe Code Bench, Tax Agent Bench).
LMArena text rating over time
14701480149015001510Aug 2Aug 22Sep 11Oct 1Oct 22
LatestQwen3.8-Max 1484

Side by side

Models (2/6)
  • Muse Spark 1.3
  • Qwen3.8-Max
BenchmarkMuse Spark 1.3Qwen3.8-Max
The model
LabMetaAlibaba
Released2026-09-022026-09-03
WeightsProprietaryProprietary
Context window1M1M
Input, per 1M tokens$1.25$2
Output, per 1M tokens$4.25$6
LMArena, people’s votes
LMArena TextMillions of people compare two anonymous models side by side and vote for the better answer1491#10 of 3511484#15 of 351
LMArena WebDevPeople ask two anonymous models to build the same web app, try both and vote for the better one1657#16 of 1241673#12 of 124
LMArena VisionSide-by-side votes on prompts that include an image1308#12 of 1461313#10 of 146
LMArena CodingLMArena’s text votes on prompts that ask for code1511#13 of 3461503#21 of 346
LMArena MathLMArena’s text votes on math prompts1502#13 of 3391501#15 of 339
LMArena Creative writingLMArena’s text votes on stories, poems and other creative writing1462#23 of 3491477#16 of 349
LMArena Hard promptsLMArena’s text votes on the hardest prompts1504#13 of 3511497#16 of 351
LMArena Instruction followingLMArena’s text votes on prompts with specific instructions to follow1479#21 of 3511481#18 of 351
Vals AI, overall
Vals IndexVals AI’s headline score—59.05%#11 of 27
Vals AI, coding
Terminal-Bench 4.0Frontier-difficulty tasks an agent completes in a real terminal10.61%#41 of 5534.34%#18 of 55
SWE-benchReal GitHub issues from open-source projects—85.60%#16 of 85
Vibe Code BenchBuilding complete web apps from a plain-language brief, graded on whether the app works82.86%#21 of 11564.70%#49 of 115
Code MigrationRewriting working programs in a new language, graded on whether the new program still passes its tests—57.19%#10 of 28
LiveCodeBenchFresh competitive programming problems, collected after models’ training cut-offs to avoid contamination—87.85%#10 of 143
Vals AI, finance
Finance AgentThe core tasks of a financial analyst, done as an agent with research tools—58.83%#23 of 31
Finance IndexVals AI’s composite of finance tasks—61.66%#5 of 31
Tax Agent BenchAgentic research into US corporate tax questions35.97%#13 of 7632.09%#22 of 76
Vals AI, law
Legal IndexVals AI’s composite of legal tasks—73.90%#5 of 28
Legal Research BenchAgentic US legal research40.87%#29 of 8546.15%#17 of 85
Vals AI, medicine
MedCodeAssigning the right medical billing codes from clinical notes—40.67%#62 of 107
Vals AI, reasoning
GPQA DiamondGraduate-level questions in biology, physics and chemistry that experts answer well and search does not—93.69%#6 of 138
MMLU-ProHarder, reasoning-focused multiple choice across 14 subjects, from law to engineering—88.60%#18 of 138
MMMUCollege-level questions that need both an image and text—88.03%#12 of 93
Terminal-Bench ScienceExpert-written scientific research workflows, run by an agent in a terminal4.29%#25 of 4212.86%#13 of 42

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Questions

Which is better, Muse Spark 1.3 or Qwen3.8-Max?

Muse Spark 1.3 rates higher on LMArena’s text leaderboard: 1491 against 1484. Muse Spark 1.3 is cheaper: $1.25 / $4.25 per million input / output tokens, against $2 / $6 for Qwen3.8-Max. On the 5 Vals AI benchmarks both have taken, Muse Spark 1.3 wins 2 and Qwen3.8-Max wins 3 (Muse Spark 1.3: Vibe Code Bench, Tax Agent Bench).

Which is cheaper, Muse Spark 1.3 or Qwen3.8-Max?

Muse Spark 1.3 is cheaper: $1.25 / $4.25 per million input / output tokens, against $2 / $6 for Qwen3.8-Max.

Sources

Every number on this page comes from these sources; models without a published number show none. Download the data. Cite as “Nexus Explorer, nexus.inc/models”.