How do GPT-5.6 Terra and Muse Spark 1.3 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-5.6 Terra and Muse Spark 1.3 when publicly disclosed.

LLM Comparison

GPT-5.6 Terra vs Muse Spark 1.3: benchmark scores, pricing & comparison.

Q: Which is better: GPT-5.6 Terra or Muse Spark 1.3?

AskClash compares GPT-5.6 Terra and Muse Spark 1.3 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.

Side-by-side GPT-5.6 Terra vs Muse Spark 1.3 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 GPT-5.6 Terra model page Muse Spark 1.3 model page

Rank #13 vs #15AskClash overall scores 60.4 vs 58.2.

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

Proprietary vs ProprietaryOpenAI vs Meta.

GPT-5.6 Terra vs Muse Spark 1.3 benchmark comparison

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

Metric	GPT-5.6 Terra	Muse Spark 1.3
Overall Score	60.4	58.2
Leaderboard Rank	#13	#15
ACB	56.4	55.5
RWT	8.5	7.5
Coding Agent Index	77.0	—
GPQA	92.9	—
SWE-Pro	63.4	—
SWE-Atlas	81.0	59.4
Terminal-Bench	87.4	88.8
DeepSWE	69.6	75.4
GDPval-AA	1593.0	1754.0
Finance Agent	54.4	—
MMMU-Pro	80.7	—
ARC-AGI 2	83.9	—
Tau2	86.3	—
MRCR	89.6	98.1
Input Price (per 1M tokens)	$2.50	$1.25
Output Price (per 1M tokens)	$15.0	$4.25
Context Window	1M	1M
Benchmarks Published	14	6

GPT-5.6 Terra vs Muse Spark 1.3 head-to-head charts

GPT-5.6 Terra leads 4 and Muse Spark 1.3 leads 4 of 8 shared benchmarks. Muse Spark 1.3 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

GPT-5.6 TerraMuse Spark 1.3

Overall

60.4GPT-5.6 Terra

58.2Muse Spark 1.3

ACB

56.4GPT-5.6 Terra

55.5Muse Spark 1.3

RWT

8.5GPT-5.6 Terra

7.5Muse Spark 1.3

SWE-Atlas

81.0GPT-5.6 Terra

59.4Muse Spark 1.3

Terminal-Bench

87.4GPT-5.6 Terra

88.8Muse Spark 1.3

DeepSWE

69.6GPT-5.6 Terra

75.4Muse Spark 1.3

GDPval-AA

1593.0GPT-5.6 Terra

1754.0Muse Spark 1.3

MRCR

89.6GPT-5.6 Terra

98.1Muse Spark 1.3

GPT-5.6 Terra

Input$2.50

Output$15.0

Workload$5.50

Context1M

Muse Spark 1.3

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-5.6 Terra and Muse Spark 1.3 comparisons

Explore how GPT-5.6 Terra and Muse Spark 1.3 stack up against other top-ranked LLMs.

Claude Fable 5.1 vs GPT-5.6 Terra Claude Fable 5.1 vs Muse Spark 1.3 Claude Fable 5 vs GPT-5.6 Terra Claude Fable 5 vs Muse Spark 1.3 GPT-5.6 Sol vs GPT-5.6 Terra GPT-5.6 Sol vs Muse Spark 1.3 Claude Opus 5 vs GPT-5.6 Terra Claude Opus 5 vs Muse Spark 1.3 Grok 4.6 vs GPT-5.6 Terra Grok 4.6 vs Muse Spark 1.3

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.