GPT-6 Luna vs Muse Spark 1.2
As of Oct 14, 2026, GPT-6 Luna leads Muse Spark 1.2 in 2 of 6 shared categories: Coding › Web dev and Vision.
GPT-6 Luna
Yes. Yes on Coding (best per dollar); Coding › Agentic (best per dollar). Not the overall leader.
Muse Spark 1.2
It used to be. Was SOTA in General LLM.
| Category | GPT-6 Luna | Muse Spark 1.2 |
|---|---|---|
| General LLM | #65 · #65 in General LLM Margin 44.21768707482993 LMArena leaderboard dataset · Oct 13, 2026 | #8 · Was SOTA · General LLM Margin 5.442176870748298 LMArena leaderboard dataset · Oct 13, 2026 |
| Reasoning | #61 · #61 in Reasoning Margin 42.465753424657535 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 | #33 · #33 in Science Margin — Epoch AI benchmarking hub · Sep 22, 2026 | — |
| Coding | #17 · #17 in Coding Margin 81.81818181818181 Terminal-Bench Harbor Hub · Oct 6, 2026 | #— · Not enough data Margin — LMArena leaderboard dataset · Oct 13, 2026 |
| Coding › Agentic | #17 · #17 in Coding › Agentic Margin 81.81818181818181 Terminal-Bench Harbor Hub · Oct 6, 2026 | — |
| Coding › Web dev | #29 · #29 in Coding › Web dev Margin 26.168224299065415 LMArena leaderboard dataset · Oct 13, 2026 | #40 · #40 in Coding › Web dev Margin 36.44859813084112 LMArena leaderboard dataset · Oct 13, 2026 |
| Long context | #61 · #61 in Long context Margin 41.49659863945578 LMArena leaderboard dataset · Oct 13, 2026 | #16 · Was SOTA · Long context Margin 10.884353741496597 LMArena leaderboard dataset · Oct 13, 2026 |
| Vision | #17 · #17 in Vision Margin 47.36842105263158 Epoch AI benchmarking hub · Sep 22, 2026 | #27 · #27 in Vision Margin 73.6842105263158 Epoch AI benchmarking hub · Aug 5, 2026 |
| Factuality | #39 · #39 in Factuality Margin 29.85074626865672 LMArena leaderboard dataset · Oct 13, 2026 | #9 · Was SOTA · Factuality Margin 7.462686567164198 LMArena leaderboard dataset · Oct 13, 2026 |
| Abstraction (ARC) | #22 · #22 in Abstraction (ARC) Margin — Epoch AI benchmarking hub · Sep 22, 2026 | — |
GPT-6 Luna: $0.19999999999999998 per 1M blended tokens.
Muse Spark 1.2: $2.0000000000000004 per 1M blended tokens.
GPT-6 Luna: closed weights.
Muse Spark 1.2: closed weights.
General LLM: As of Oct 14, 2026, Muse Spark 1.2 leads GPT-6 Luna in General LLM at #8 against #65.
Reasoning: As of Oct 14, 2026, Muse Spark 1.2 leads GPT-6 Luna in Reasoning at #11 against #61.
Coding › Web dev: As of Oct 14, 2026, GPT-6 Luna leads Muse Spark 1.2 in Coding › Web dev at #29 against #40.
Long context: As of Oct 14, 2026, Muse Spark 1.2 leads GPT-6 Luna in Long context at #16 against #61.
Vision: As of Oct 14, 2026, GPT-6 Luna leads Muse Spark 1.2 in Vision at #17 against #27.
Factuality: As of Oct 14, 2026, Muse Spark 1.2 leads GPT-6 Luna in Factuality at #9 against #39.
GPT-6 Luna or Muse Spark 1.2?
As of Oct 14, 2026, GPT-6 Luna leads Muse Spark 1.2 in 2 of 6 shared categories: Coding › Web dev and Vision.
GPT-6 Luna or Muse Spark 1.2 for General LLM?
As of Oct 14, 2026, Muse Spark 1.2 leads GPT-6 Luna in General LLM at #8 against #65.
GPT-6 Luna or Muse Spark 1.2 for Reasoning?
As of Oct 14, 2026, Muse Spark 1.2 leads GPT-6 Luna in Reasoning at #11 against #61.
GPT-6 Luna or Muse Spark 1.2 for Coding › Web dev?
As of Oct 14, 2026, GPT-6 Luna leads Muse Spark 1.2 in Coding › Web dev at #29 against #40.