Compare · 2026-10-14

GPT-5.6 Sol vs Muse Spark 1.1

As of Oct 14, 2026, GPT-5.6 Sol leads Muse Spark 1.1 in 5 of 6 shared categories: Reasoning, Coding › Web dev, Long context, Vision, and Factuality.

CategoryGPT-5.6 SolMuse Spark 1.1
General LLM
#17 · #17 in General LLM
Margin 11.564625850340136
LMArena leaderboard dataset · Oct 13, 2026
#10 · Was SOTA · General LLM
Margin 6.802721088435376
LMArena leaderboard dataset · Oct 13, 2026
Reasoning
#12 · #12 in Reasoning
Margin 8.904109589041099
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
#13 · #13 in Science
Margin —
Epoch AI benchmarking hub · Jul 9, 2026
—
Coding
#9 · #9 in Coding
Margin 45.45454545454545
Terminal-Bench Harbor Hub · Oct 6, 2026
#— · Not enough data
Margin —
LMArena leaderboard dataset · Oct 13, 2026
Coding › Agentic
#9 · #9 in Coding › Agentic
Margin 45.45454545454545
Terminal-Bench Harbor Hub · Oct 6, 2026
—
Coding › Web dev
#21 · Was SOTA · Coding › Web dev
Margin 18.691588785046733
LMArena leaderboard dataset · Oct 13, 2026
#37 · #37 in Coding › Web dev
Margin 33.64485981308411
LMArena leaderboard dataset · Oct 13, 2026
Long context
#13 · #13 in Long context
Margin 8.84353741496598
LMArena leaderboard dataset · Oct 13, 2026
#33 · #33 in Long context
Margin 22.448979591836732
LMArena leaderboard dataset · Oct 13, 2026
Vision
#3 · Near-SOTA · Vision
Margin 10.526315789473685
Epoch AI benchmarking hub · Jul 9, 2026
#28 · #28 in Vision
Margin 76.3157894736842
Epoch AI benchmarking hub · Jul 9, 2026
Factuality
#14 · #14 in Factuality
Margin 11.194029850746276
LMArena leaderboard dataset · Oct 13, 2026
#32 · Was SOTA · Factuality
Margin 24.626865671641795
LMArena leaderboard dataset · Oct 13, 2026
Abstraction (ARC)
#3 · #3 in Abstraction (ARC)
Margin —
Epoch AI benchmarking hub · Jul 9, 2026
—
Price per 1M tokens

GPT-5.6 Sol: $8.000000000000002 per 1M blended tokens.

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

Open weights

GPT-5.6 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-5.6 Sol in General LLM at #10 against #17.

Reasoning: As of Oct 14, 2026, GPT-5.6 Sol leads Muse Spark 1.1 in Reasoning at #12 against #13.

Coding › Web dev: As of Oct 14, 2026, GPT-5.6 Sol leads Muse Spark 1.1 in Coding › Web dev at #21 against #37.

Long context: As of Oct 14, 2026, GPT-5.6 Sol leads Muse Spark 1.1 in Long context at #13 against #33.

Vision: As of Oct 14, 2026, GPT-5.6 Sol leads Muse Spark 1.1 in Vision at #3 against #28.

Factuality: As of Oct 14, 2026, GPT-5.6 Sol leads Muse Spark 1.1 in Factuality at #14 against #32.

GPT-5.6 Sol · Muse Spark 1.1

GPT-5.6 Sol or Muse Spark 1.1?

As of Oct 14, 2026, GPT-5.6 Sol leads Muse Spark 1.1 in 5 of 6 shared categories: Reasoning, Coding › Web dev, Long context, Vision, and Factuality.

GPT-5.6 Sol or Muse Spark 1.1 for General LLM?

As of Oct 14, 2026, Muse Spark 1.1 leads GPT-5.6 Sol in General LLM at #10 against #17.

GPT-5.6 Sol or Muse Spark 1.1 for Reasoning?

As of Oct 14, 2026, GPT-5.6 Sol leads Muse Spark 1.1 in Reasoning at #12 against #13.

GPT-5.6 Sol or Muse Spark 1.1 for Coding › Web dev?

As of Oct 14, 2026, GPT-5.6 Sol leads Muse Spark 1.1 in Coding › Web dev at #21 against #37.