Compare · 2026-10-14

GPT-6.1 Sol vs Muse Spark 1.1

As of Oct 14, 2026, GPT-6.1 Sol leads Muse Spark 1.1 in 4 of 6 shared categories: Coding › Web dev, Long context, Vision, and Factuality.

CategoryGPT-6.1 SolMuse Spark 1.1
General LLM
#18 · #18 in General LLM
Margin 12.244897959183675
LMArena leaderboard dataset · Oct 13, 2026
#10 · Was SOTA · General LLM
Margin 6.802721088435376
LMArena leaderboard dataset · Oct 13, 2026
Reasoning
#15 · #15 in Reasoning
Margin 10.958904109589042
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
#4 · #4 in Science
Margin —
Epoch AI benchmarking hub · Sep 29, 2026
—
Coding
#2 · Near-SOTA · Coding
Margin 13.63636363636364
Terminal-Bench Harbor Hub · Oct 6, 2026
#— · Not enough data
Margin —
LMArena leaderboard dataset · Oct 13, 2026
Coding › Agentic
#2 · Near-SOTA · Coding › Agentic
Margin 13.63636363636364
Terminal-Bench Harbor Hub · Oct 6, 2026
—
Coding › Web dev
#4 · Near-SOTA · Coding › Web dev
Margin 2.803738317757009
LMArena leaderboard dataset · Oct 13, 2026
#37 · #37 in Coding › Web dev
Margin 33.64485981308411
LMArena leaderboard dataset · Oct 13, 2026
Long context
#17 · #17 in Long context
Margin 11.564625850340136
LMArena leaderboard dataset · Oct 13, 2026
#33 · #33 in Long context
Margin 22.448979591836732
LMArena leaderboard dataset · Oct 13, 2026
Vision
#1 · Co-SOTA · Vision
Margin 0
Epoch AI benchmarking hub · Sep 29, 2026
#28 · #28 in Vision
Margin 76.3157894736842
Epoch AI benchmarking hub · Jul 9, 2026
Factuality
#29 · #29 in Factuality
Margin 22.388059701492537
LMArena leaderboard dataset · Oct 13, 2026
#32 · Was SOTA · Factuality
Margin 24.626865671641795
LMArena leaderboard dataset · Oct 13, 2026
Abstraction (ARC)
#1 · #1 in Abstraction (ARC)
Margin —
Epoch AI benchmarking hub · Sep 29, 2026
—
Price per 1M tokens

GPT-6.1 Sol: $4.000000000000001 per 1M blended tokens.

Muse Spark 1.1: $2.0000000000000004 per 1M blended tokens.

Open weights

GPT-6.1 Sol: closed weights.

Muse Spark 1.1: closed weights.

Which to pick

General LLM: As of Oct 14, 2026, Muse Spark 1.1 leads GPT-6.1 Sol in General LLM at #10 against #18.

Reasoning: As of Oct 14, 2026, Muse Spark 1.1 leads GPT-6.1 Sol in Reasoning at #13 against #15.

Coding › Web dev: As of Oct 14, 2026, GPT-6.1 Sol leads Muse Spark 1.1 in Coding › Web dev at #4 against #37.

Long context: As of Oct 14, 2026, GPT-6.1 Sol leads Muse Spark 1.1 in Long context at #17 against #33.

Vision: As of Oct 14, 2026, GPT-6.1 Sol leads Muse Spark 1.1 in Vision at #1 against #28.

Factuality: As of Oct 14, 2026, GPT-6.1 Sol leads Muse Spark 1.1 in Factuality at #29 against #32.

GPT-6.1 Sol · Muse Spark 1.1

GPT-6.1 Sol or Muse Spark 1.1?

As of Oct 14, 2026, GPT-6.1 Sol leads Muse Spark 1.1 in 4 of 6 shared categories: Coding › Web dev, Long context, Vision, and Factuality.

GPT-6.1 Sol or Muse Spark 1.1 for General LLM?

As of Oct 14, 2026, Muse Spark 1.1 leads GPT-6.1 Sol in General LLM at #10 against #18.

GPT-6.1 Sol or Muse Spark 1.1 for Reasoning?

As of Oct 14, 2026, Muse Spark 1.1 leads GPT-6.1 Sol in Reasoning at #13 against #15.

GPT-6.1 Sol or Muse Spark 1.1 for Coding › Web dev?

As of Oct 14, 2026, GPT-6.1 Sol leads Muse Spark 1.1 in Coding › Web dev at #4 against #37.