Compare · 2026-10-14

GPT-5.6 Luna vs Muse Spark 1.3

As of Oct 14, 2026, GPT-5.6 Luna leads Muse Spark 1.3 in 2 of 8 shared categories: Coding and Coding › Agentic.

CategoryGPT-5.6 LunaMuse Spark 1.3
General LLM
#53 · #53 in General LLM
Margin 36.054421768707485
LMArena leaderboard dataset · Oct 13, 2026
#9 · #9 in General LLM
Margin 6.122448979591837
LMArena leaderboard dataset · Oct 13, 2026
Reasoning
#55 · #55 in Reasoning
Margin 38.35616438356164
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
#25 · #25 in Science
Margin —
Epoch AI benchmarking hub · Jul 9, 2026
—
Coding
#16 · #16 in Coding
Margin 77.27272727272728
Terminal-Bench Harbor Hub · Oct 6, 2026
#18 · #18 in Coding
Margin 86.36363636363636
Terminal-Bench Harbor Hub · Oct 6, 2026
Coding › Agentic
#16 · #16 in Coding › Agentic
Margin 77.27272727272728
Terminal-Bench Harbor Hub · Oct 6, 2026
#18 · #18 in Coding › Agentic
Margin 86.36363636363636
Terminal-Bench Harbor Hub · Oct 6, 2026
Coding › Web dev
#43 · #43 in Coding › Web dev
Margin 39.25233644859813
LMArena leaderboard dataset · Oct 13, 2026
#10 · #10 in Coding › Web dev
Margin 8.411214953271028
LMArena leaderboard dataset · Oct 13, 2026
Long context
#65 · #65 in Long context
Margin 44.21768707482993
LMArena leaderboard dataset · Oct 13, 2026
#15 · #15 in Long context
Margin 10.204081632653057
LMArena leaderboard dataset · Oct 13, 2026
Vision
#19 · #19 in Vision
Margin 52.63157894736842
Epoch AI benchmarking hub · Jul 9, 2026
#8 · #8 in Vision
Margin 23.684210526315795
Epoch AI benchmarking hub · Sep 2, 2026
Factuality
#35 · #35 in Factuality
Margin 26.86567164179104
LMArena leaderboard dataset · Oct 13, 2026
#11 · #11 in Factuality
Margin 8.955223880597018
LMArena leaderboard dataset · Oct 13, 2026
Abstraction (ARC)
#19 · #19 in Abstraction (ARC)
Margin —
Epoch AI benchmarking hub · Jul 9, 2026
—
Price per 1M tokens

GPT-5.6 Luna: $0.44999999999999996 per 1M blended tokens.

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

Open weights

GPT-5.6 Luna: closed weights.

Muse Spark 1.3: closed weights.

Which to pick

General LLM: As of Oct 14, 2026, Muse Spark 1.3 leads GPT-5.6 Luna in General LLM at #9 against #53.

Reasoning: As of Oct 14, 2026, Muse Spark 1.3 leads GPT-5.6 Luna in Reasoning at #8 against #55.

Coding: As of Oct 14, 2026, GPT-5.6 Luna leads Muse Spark 1.3 in Coding at #16 against #18.

Coding › Agentic: As of Oct 14, 2026, GPT-5.6 Luna leads Muse Spark 1.3 in Coding › Agentic at #16 against #18.

Coding › Web dev: As of Oct 14, 2026, Muse Spark 1.3 leads GPT-5.6 Luna in Coding › Web dev at #10 against #43.

Long context: As of Oct 14, 2026, Muse Spark 1.3 leads GPT-5.6 Luna in Long context at #15 against #65.

Vision: As of Oct 14, 2026, Muse Spark 1.3 leads GPT-5.6 Luna in Vision at #8 against #19.

Factuality: As of Oct 14, 2026, Muse Spark 1.3 leads GPT-5.6 Luna in Factuality at #11 against #35.

GPT-5.6 Luna · Muse Spark 1.3

GPT-5.6 Luna or Muse Spark 1.3?

As of Oct 14, 2026, GPT-5.6 Luna leads Muse Spark 1.3 in 2 of 8 shared categories: Coding and Coding › Agentic.

GPT-5.6 Luna or Muse Spark 1.3 for General LLM?

As of Oct 14, 2026, Muse Spark 1.3 leads GPT-5.6 Luna in General LLM at #9 against #53.

GPT-5.6 Luna or Muse Spark 1.3 for Reasoning?

As of Oct 14, 2026, Muse Spark 1.3 leads GPT-5.6 Luna in Reasoning at #8 against #55.

GPT-5.6 Luna or Muse Spark 1.3 for Coding?

As of Oct 14, 2026, GPT-5.6 Luna leads Muse Spark 1.3 in Coding at #16 against #18.