How do Muse Spark 1.1 and GPT-5.4 compare on coding benchmarks?

The comparison table shows SWE-bench, SWE-Pro, SWE-Atlas, Terminal-Bench, DeepSWE, and coding agent index scores for both Muse Spark 1.1 and GPT-5.4 when publicly disclosed.

LLM Comparison

Muse Spark 1.1 vs GPT-5.4: benchmark scores, pricing & comparison.

Q: Which is better: Muse Spark 1.1 or GPT-5.4?

AskClash compares Muse Spark 1.1 and GPT-5.4 side by side across SWE-bench, GPQA, HLE, Terminal-Bench, coding agent scores, token pricing, and context window so you can see which model wins on each benchmark.

Side-by-side Muse Spark 1.1 vs GPT-5.4 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.

Open live leaderboard Muse Spark 1.1 model page GPT-5.4 model page

Rank #12 vs #14AskClash overall scores 67.9 vs 64.7.

Pricing $1.25/$4.25 vs $2.50/$15.0Input and output token prices per 1M tokens when published.

Proprietary vs ProprietaryMeta vs OpenAI.

Muse Spark 1.1 vs GPT-5.4 benchmark comparison

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

Metric	Muse Spark 1.1	GPT-5.4
Overall Score	67.9	64.7
Leaderboard Rank	#12	#14
RWT	7.5	8.0
Coding Agent Index	—	39.1
HLE	62.1	52.1
GPQA	—	92.8
SWE-Pro	61.5	57.7
Terminal-Bench	80.0	75.1
DeepSWE	—	51.8
OSWorld	80.8	75.0
MCP Atlas	88.1	70.6
Finance Agent	57.2	—
CharXiv	88.4	82.8
MMMU-Pro	—	81.2
ARC-AGI 2	—	74.0
Tau2	—	98.9
MRCR	54.1	97.3
Input Price (per 1M tokens)	$1.25	$2.50
Output Price (per 1M tokens)	$4.25	$15.0
Context Window	1M	1M
Benchmarks Published	10	15

Muse Spark 1.1 vs GPT-5.4 head-to-head charts

Muse Spark 1.1 leads 7 and GPT-5.4 leads 2 of 9 shared benchmarks. Muse Spark 1.1 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Muse Spark 1.1GPT-5.4

Overall

67.9Muse Spark 1.1

64.7GPT-5.4

RWT

7.5Muse Spark 1.1

8.0GPT-5.4

HLE

62.1Muse Spark 1.1

52.1GPT-5.4

SWE-Pro

61.5Muse Spark 1.1

57.7GPT-5.4

Terminal-Bench

80.0Muse Spark 1.1

75.1GPT-5.4

OSWorld

80.8Muse Spark 1.1

75.0GPT-5.4

MCP Atlas

88.1Muse Spark 1.1

70.6GPT-5.4

CharXiv

88.4Muse Spark 1.1

82.8GPT-5.4

MRCR

54.1Muse Spark 1.1

97.3GPT-5.4

Muse Spark 1.1

Input$1.25

Output$4.25

Workload$2.10

Context1M

GPT-5.4

Input$2.50

Output$15.0

Workload$5.50

Context1M

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

More Muse Spark 1.1 and GPT-5.4 comparisons

Explore how Muse Spark 1.1 and GPT-5.4 stack up against other top-ranked LLMs.

Claude Opus 5 vs Muse Spark 1.1 Claude Opus 5 vs GPT-5.4 Claude Fable 5 vs Muse Spark 1.1 Claude Fable 5 vs GPT-5.4 GPT-5.6 Sol vs Muse Spark 1.1 GPT-5.6 Sol vs GPT-5.4 Claude Opus 4.8 vs Muse Spark 1.1 Claude Opus 4.8 vs GPT-5.4 Kimi K3 vs Muse Spark 1.1 Kimi K3 vs GPT-5.4

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.