GPT-5.6 Luna vs Muse Spark 1.1
As of Oct 14, 2026, GPT-5.6 Luna leads Muse Spark 1.1 in 1 of 6 shared categories: Vision.
GPT-5.6 Luna
#16 Best current rank: #16 in Coding, as of Oct 14, 2026.
Muse Spark 1.1
It used to be. Was SOTA in General LLM.
| Category | GPT-5.6 Luna | Muse Spark 1.1 |
|---|---|---|
| General LLM | #53 · #53 in General LLM Margin 36.054421768707485 LMArena leaderboard dataset · Oct 13, 2026 | #10 · Was SOTA · General LLM Margin 6.802721088435376 LMArena leaderboard dataset · Oct 13, 2026 |
| Reasoning | #55 · #55 in Reasoning Margin 38.35616438356164 LMArena leaderboard dataset · Oct 13, 2026 | #13 · #13 in Reasoning Margin 9.589041095890408 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 | #37 · #37 in Coding › Web dev Margin 33.64485981308411 LMArena leaderboard dataset · Oct 13, 2026 |
| Long context | #65 · #65 in Long context Margin 44.21768707482993 LMArena leaderboard dataset · Oct 13, 2026 | #33 · #33 in Long context Margin 22.448979591836732 LMArena leaderboard dataset · Oct 13, 2026 |
| Vision | #19 · #19 in Vision Margin 52.63157894736842 Epoch AI benchmarking hub · Jul 9, 2026 | #28 · #28 in Vision Margin 76.3157894736842 Epoch AI benchmarking hub · Jul 9, 2026 |
| Factuality | #35 · #35 in Factuality Margin 26.86567164179104 LMArena leaderboard dataset · Oct 13, 2026 | #32 · Was SOTA · Factuality Margin 24.626865671641795 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 1.1: $2.0000000000000004 per 1M blended tokens.
GPT-5.6 Luna: closed weights.
Muse Spark 1.1: closed weights.
General LLM: As of Oct 14, 2026, Muse Spark 1.1 leads GPT-5.6 Luna in General LLM at #10 against #53.
Reasoning: As of Oct 14, 2026, Muse Spark 1.1 leads GPT-5.6 Luna in Reasoning at #13 against #55.
Coding › Web dev: As of Oct 14, 2026, Muse Spark 1.1 leads GPT-5.6 Luna in Coding › Web dev at #37 against #43.
Long context: As of Oct 14, 2026, Muse Spark 1.1 leads GPT-5.6 Luna in Long context at #33 against #65.
Vision: As of Oct 14, 2026, GPT-5.6 Luna leads Muse Spark 1.1 in Vision at #19 against #28.
Factuality: As of Oct 14, 2026, Muse Spark 1.1 leads GPT-5.6 Luna in Factuality at #32 against #35.
GPT-5.6 Luna or Muse Spark 1.1?
As of Oct 14, 2026, GPT-5.6 Luna leads Muse Spark 1.1 in 1 of 6 shared categories: Vision.
GPT-5.6 Luna or Muse Spark 1.1 for General LLM?
As of Oct 14, 2026, Muse Spark 1.1 leads GPT-5.6 Luna in General LLM at #10 against #53.
GPT-5.6 Luna or Muse Spark 1.1 for Reasoning?
As of Oct 14, 2026, Muse Spark 1.1 leads GPT-5.6 Luna in Reasoning at #13 against #55.
GPT-5.6 Luna or Muse Spark 1.1 for Coding › Web dev?
As of Oct 14, 2026, Muse Spark 1.1 leads GPT-5.6 Luna in Coding › Web dev at #37 against #43.