Which is better: GPT-5.5 or Muse Spark 1.2?

Verdict: GPT-5.5 ranks higher (#33 vs #35) and wins 3 of 4 shared benchmarks; Muse Spark 1.2 costs less ($1.25/$4.25 vs $5.00/$30.0 per 1M tokens). AskClash compares GPT-5.5 and Muse Spark 1.2 side by side across SWE-bench, GPQA, HLE, Terminal-Bench, coding agent scores, token pricing, AskClash ACB, and context window so you can see which model wins on each benchmark.

How do GPT-5.5 and Muse Spark 1.2 compare on coding benchmarks?

The comparison table shows SWE-bench, SWE-Pro, SWE-Atlas, Terminal-Bench, DeepSWE, and coding agent index scores for both GPT-5.5 and Muse Spark 1.2 when publicly disclosed.

LLM Comparison

GPT-5.5 vs Muse Spark 1.2: benchmark scores, pricing & comparison.

Side-by-side GPT-5.5 vs Muse Spark 1.2 comparison across SWE-bench, GPQA, HLE, Terminal-Bench, coding agent scores, token pricing, context window, and AskClash RWT. Green marks the winner on each benchmark.

Verdict: GPT-5.5 ranks higher (#33 vs #35) and wins 3 of 4 shared benchmarks; Muse Spark 1.2 costs less ($1.25/$4.25 vs $5.00/$30.0 per 1M tokens).

Open live leaderboard GPT-5.5 model page Muse Spark 1.2 model page

Rank #33 vs #35AskClash overall scores 50.1 vs 48.6.

Pricing $5.00/$30.0 vs $1.25/$4.25Input and output token prices per 1M tokens when published.

Proprietary vs ProprietaryOpenAI vs Meta.

GPT-5.5 vs Muse Spark 1.2 benchmark comparison

Green cells highlight the winning model for each metric. Scores are cached from the AskClash LLM leaderboard snapshot.

Metric	GPT-5.5	Muse Spark 1.2
Overall Score	50.1	48.6
Leaderboard Rank	#33	#35
ACB	62.0	54.8
RWT	8.0	7.5
HLE	52.2	—
GPQA	93.6	—
SWE-Pro	58.6	—
Terminal-Bench	14.7	—
DeepSWE	67.0	59.0
OSWorld	78.7	—
MCP Atlas	75.3	82.2
MMMU-Pro	81.2	—
ARC-AGI 2	85.0	—
Tau2	98.0	—
Input Price (per 1M tokens)	$5.00	$1.25
Output Price (per 1M tokens)	$30.0	$4.25
Context Window	1M	1M
Benchmarks Published	12	4

GPT-5.5 vs Muse Spark 1.2 head-to-head charts

GPT-5.5 leads 4 and Muse Spark 1.2 leads 1 of 5 shared benchmarks. Muse Spark 1.2 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

GPT-5.5Muse Spark 1.2

Overall

50.1GPT-5.5

48.6Muse Spark 1.2

ACB

62.0GPT-5.5

54.8Muse Spark 1.2

RWT

8.0GPT-5.5

7.5Muse Spark 1.2

DeepSWE

67.0GPT-5.5

59.0Muse Spark 1.2

MCP Atlas

75.3GPT-5.5

82.2Muse Spark 1.2

GPT-5.5

Input$5.00

Output$30.0

Workload$11

Context1M

Muse Spark 1.2

Input$1.25

Output$4.25

Workload$2.10

Context1M

Workload = published cost of 1M input + 200K output tokens. Open the live leaderboard for interactive compare charts.

More GPT-5.5 and Muse Spark 1.2 comparisons

Explore how GPT-5.5 and Muse Spark 1.2 stack up against other top-ranked LLMs.

Claude Fable 5.2 vs GPT-5.5 Claude Fable 5.2 vs Muse Spark 1.2 Claude Opus 5.5 vs GPT-5.5 Claude Opus 5.5 vs Muse Spark 1.2 Claude Sonnet 5.5 vs GPT-5.5 Claude Sonnet 5.5 vs Muse Spark 1.2 Claude Fable 5.1 vs GPT-5.5 Claude Fable 5.1 vs Muse Spark 1.2 Gemini 4 Carbon vs GPT-5.5 Gemini 4 Carbon vs Muse Spark 1.2

How to read this comparison

Benchmark scores

Higher is better for all benchmark scores (SWE-bench, GPQA, HLE, Terminal-Bench, etc.). Green marks the model with the higher score.

Token pricing

Lower is better for input and output prices. Green marks the cheaper model per 1M tokens.

Coverage matters

Models with fewer disclosed benchmark cells may have inflated percentile scores. Check the benchmark cell count for context.

This comparison page is generated from the AskClash LLM leaderboard cache. Open the live leaderboard for real-time scores and interactive filtering.