GPT-6 Luna vs Muse Spark 1.1
As of Oct 14, 2026, GPT-6 Luna leads Muse Spark 1.1 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 1.1
It used to be. Was SOTA in General LLM.
| Category | GPT-6 Luna | Muse Spark 1.1 |
|---|---|---|
| General LLM | #65 · #65 in General LLM Margin 44.21768707482993 LMArena leaderboard dataset · Oct 13, 2026 | #10 · Was SOTA · General LLM Margin 6.802721088435376 LMArena leaderboard dataset · Oct 13, 2026 |
| Reasoning | #61 · #61 in Reasoning Margin 42.465753424657535 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 | #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 | #37 · #37 in Coding › Web dev Margin 33.64485981308411 LMArena leaderboard dataset · Oct 13, 2026 |
| Long context | #61 · #61 in Long context Margin 41.49659863945578 LMArena leaderboard dataset · Oct 13, 2026 | #33 · #33 in Long context Margin 22.448979591836732 LMArena leaderboard dataset · Oct 13, 2026 |
| Vision | #17 · #17 in Vision Margin 47.36842105263158 Epoch AI benchmarking hub · Sep 22, 2026 | #28 · #28 in Vision Margin 76.3157894736842 Epoch AI benchmarking hub · Jul 9, 2026 |
| Factuality | #39 · #39 in Factuality Margin 29.85074626865672 LMArena leaderboard dataset · Oct 13, 2026 | #32 · Was SOTA · Factuality Margin 24.626865671641795 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 1.1: $2.0000000000000004 per 1M blended tokens.
GPT-6 Luna: closed weights.
Muse Spark 1.1: closed weights.
General LLM: As of Oct 14, 2026, Muse Spark 1.1 leads GPT-6 Luna in General LLM at #10 against #65.
Reasoning: As of Oct 14, 2026, Muse Spark 1.1 leads GPT-6 Luna in Reasoning at #13 against #61.
Coding › Web dev: As of Oct 14, 2026, GPT-6 Luna leads Muse Spark 1.1 in Coding › Web dev at #29 against #37.
Long context: As of Oct 14, 2026, Muse Spark 1.1 leads GPT-6 Luna in Long context at #33 against #61.
Vision: As of Oct 14, 2026, GPT-6 Luna leads Muse Spark 1.1 in Vision at #17 against #28.
Factuality: As of Oct 14, 2026, Muse Spark 1.1 leads GPT-6 Luna in Factuality at #32 against #39.
GPT-6 Luna or Muse Spark 1.1?
As of Oct 14, 2026, GPT-6 Luna leads Muse Spark 1.1 in 2 of 6 shared categories: Coding › Web dev and Vision.
GPT-6 Luna or Muse Spark 1.1 for General LLM?
As of Oct 14, 2026, Muse Spark 1.1 leads GPT-6 Luna in General LLM at #10 against #65.
GPT-6 Luna or Muse Spark 1.1 for Reasoning?
As of Oct 14, 2026, Muse Spark 1.1 leads GPT-6 Luna in Reasoning at #13 against #61.
GPT-6 Luna or Muse Spark 1.1 for Coding › Web dev?
As of Oct 14, 2026, GPT-6 Luna leads Muse Spark 1.1 in Coding › Web dev at #29 against #37.