Compare · 2026-10-14

GPT-5.5 vs Muse Spark 1.3

As of Oct 14, 2026, GPT-5.5 leads Muse Spark 1.3 in 1 of 6 shared categories: Factuality.

CategoryGPT-5.5Muse Spark 1.3
General LLM
#21 · Was SOTA · General LLM
Margin 14.285714285714292
LMArena leaderboard dataset · Oct 13, 2026
#9 · #9 in General LLM
Margin 6.122448979591837
LMArena leaderboard dataset · Oct 13, 2026
Reasoning
#25 · #25 in Reasoning
Margin 17.808219178082197
LMArena leaderboard dataset · Oct 13, 2026
#8 · #8 in Reasoning
Margin 6.164383561643831
LMArena leaderboard dataset · Oct 13, 2026
Math
#— · Not enough data
Margin —
LMArena leaderboard dataset · Oct 13, 2026
#— · Not enough data
Margin —
LMArena leaderboard dataset · Oct 13, 2026
Science
#30 · #30 in Science
Margin —
Epoch AI benchmarking hub · Apr 23, 2026
—
Coding
#— · Not enough data
Margin —
LMArena leaderboard dataset · Oct 13, 2026
#18 · #18 in Coding
Margin 86.36363636363636
Terminal-Bench Harbor Hub · Oct 6, 2026
Coding › Agentic—
#18 · #18 in Coding › Agentic
Margin 86.36363636363636
Terminal-Bench Harbor Hub · Oct 6, 2026
Coding › Web dev
#44 · #44 in Coding › Web dev
Margin 40.18691588785047
LMArena leaderboard dataset · Oct 13, 2026
#10 · #10 in Coding › Web dev
Margin 8.411214953271028
LMArena leaderboard dataset · Oct 13, 2026
Long context
#23 · Was SOTA · Long context
Margin 15.646258503401356
LMArena leaderboard dataset · Oct 13, 2026
#15 · #15 in Long context
Margin 10.204081632653057
LMArena leaderboard dataset · Oct 13, 2026
Vision
#10 · Was SOTA · Vision
Margin 28.94736842105263
Epoch AI benchmarking hub · Apr 23, 2026
#8 · #8 in Vision
Margin 23.684210526315795
Epoch AI benchmarking hub · Sep 2, 2026
Factuality
#5 · Was SOTA · Factuality
Margin 4.477611940298502
LMArena leaderboard dataset · Oct 13, 2026
#11 · #11 in Factuality
Margin 8.955223880597018
LMArena leaderboard dataset · Oct 13, 2026
Abstraction (ARC)
#7 · #7 in Abstraction (ARC)
Margin —
Epoch AI benchmarking hub · Apr 23, 2026
—
Price per 1M tokens

GPT-5.5: $11.25 per 1M blended tokens.

Muse Spark 1.3: $2.0000000000000004 per 1M blended tokens.

Open weights

GPT-5.5: closed weights.

Muse Spark 1.3: closed weights.

Which to pick

General LLM: As of Oct 14, 2026, Muse Spark 1.3 leads GPT-5.5 in General LLM at #9 against #21.

Reasoning: As of Oct 14, 2026, Muse Spark 1.3 leads GPT-5.5 in Reasoning at #8 against #25.

Coding › Web dev: As of Oct 14, 2026, Muse Spark 1.3 leads GPT-5.5 in Coding › Web dev at #10 against #44.

Long context: As of Oct 14, 2026, Muse Spark 1.3 leads GPT-5.5 in Long context at #15 against #23.

Vision: As of Oct 14, 2026, Muse Spark 1.3 leads GPT-5.5 in Vision at #8 against #10.

Factuality: As of Oct 14, 2026, GPT-5.5 leads Muse Spark 1.3 in Factuality at #5 against #11.

GPT-5.5 · Muse Spark 1.3

GPT-5.5 or Muse Spark 1.3?

As of Oct 14, 2026, GPT-5.5 leads Muse Spark 1.3 in 1 of 6 shared categories: Factuality.

GPT-5.5 or Muse Spark 1.3 for General LLM?

As of Oct 14, 2026, Muse Spark 1.3 leads GPT-5.5 in General LLM at #9 against #21.

GPT-5.5 or Muse Spark 1.3 for Reasoning?

As of Oct 14, 2026, Muse Spark 1.3 leads GPT-5.5 in Reasoning at #8 against #25.

GPT-5.5 or Muse Spark 1.3 for Coding › Web dev?

As of Oct 14, 2026, Muse Spark 1.3 leads GPT-5.5 in Coding › Web dev at #10 against #44.