GPT-5.6 Luna vs Muse Spark 1.2
As of Oct 15, 2026, GPT-5.6 Luna leads Muse Spark 1.2 in 1 of 6 shared categories: Vision.
GPT-5.6 Luna
#16 Best current rank: #16 in Coding, as of Oct 15, 2026.
Muse Spark 1.2
It used to be. Was SOTA in General LLM.
| Category | GPT-5.6 Luna | Muse Spark 1.2 |
|---|---|---|
| General LLM | #53 · #53 in General LLM Margin 36.054421768707485 LMArena leaderboard dataset · Oct 13, 2026 | #8 · Was SOTA · General LLM Margin 5.442176870748298 LMArena leaderboard dataset · Oct 13, 2026 |
| Reasoning | #55 · #55 in Reasoning Margin 38.35616438356164 LMArena leaderboard dataset · Oct 13, 2026 | #11 · #11 in Reasoning Margin 8.219178082191775 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 | #— · Not enough data Margin — LMArena leaderboard dataset · Oct 13, 2026 |
| Coding › Agentic | #16 · #16 in Coding › Agentic Margin 77.27272727272728 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 | #40 · #40 in Coding › Web dev Margin 36.44859813084112 LMArena leaderboard dataset · Oct 13, 2026 |
| Long context | #65 · #65 in Long context Margin 44.21768707482993 LMArena leaderboard dataset · Oct 13, 2026 | #16 · Was SOTA · Long context Margin 10.884353741496597 LMArena leaderboard dataset · Oct 13, 2026 |
| Vision | #19 · #19 in Vision Margin 52.63157894736842 Epoch AI benchmarking hub · Jul 9, 2026 | #27 · #27 in Vision Margin 73.6842105263158 Epoch AI benchmarking hub · Aug 5, 2026 |
| Factuality | #35 · #35 in Factuality Margin 26.86567164179104 LMArena leaderboard dataset · Oct 13, 2026 | #9 · Was SOTA · Factuality Margin 7.462686567164198 LMArena leaderboard dataset · Oct 13, 2026 |
| Abstraction (ARC) | #19 · #19 in Abstraction (ARC) Margin — Epoch AI benchmarking hub · Jul 9, 2026 | — |
GPT-5.6 Luna: $0.44999999999999996 per 1M blended tokens.
Muse Spark 1.2: $2.0000000000000004 per 1M blended tokens.
GPT-5.6 Luna: closed weights.
Muse Spark 1.2: closed weights.
General LLM: As of Oct 15, 2026, Muse Spark 1.2 leads GPT-5.6 Luna in General LLM at #8 against #53.
Reasoning: As of Oct 15, 2026, Muse Spark 1.2 leads GPT-5.6 Luna in Reasoning at #11 against #55.
Coding › Web dev: As of Oct 15, 2026, Muse Spark 1.2 leads GPT-5.6 Luna in Coding › Web dev at #40 against #43.
Long context: As of Oct 15, 2026, Muse Spark 1.2 leads GPT-5.6 Luna in Long context at #16 against #65.
Vision: As of Oct 15, 2026, GPT-5.6 Luna leads Muse Spark 1.2 in Vision at #19 against #27.
Factuality: As of Oct 15, 2026, Muse Spark 1.2 leads GPT-5.6 Luna in Factuality at #9 against #35.
GPT-5.6 Luna or Muse Spark 1.2?
As of Oct 15, 2026, GPT-5.6 Luna leads Muse Spark 1.2 in 1 of 6 shared categories: Vision.
GPT-5.6 Luna or Muse Spark 1.2 for General LLM?
As of Oct 15, 2026, Muse Spark 1.2 leads GPT-5.6 Luna in General LLM at #8 against #53.
GPT-5.6 Luna or Muse Spark 1.2 for Reasoning?
As of Oct 15, 2026, Muse Spark 1.2 leads GPT-5.6 Luna in Reasoning at #11 against #55.
GPT-5.6 Luna or Muse Spark 1.2 for Coding › Web dev?
As of Oct 15, 2026, Muse Spark 1.2 leads GPT-5.6 Luna in Coding › Web dev at #40 against #43.