Which is better: SWE-2 or Muse Spark 1.1?

Verdict: SWE-2 ranks higher (#22 vs #31); SWE-2 costs less ($0/$0 vs $1.25/$4.25 per 1M tokens). AskClash compares SWE-2 and Muse Spark 1.1 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 SWE-2 and Muse Spark 1.1 compare on coding benchmarks?

The comparison table shows SWE-bench, SWE-Pro, SWE-Atlas, Terminal-Bench, DeepSWE, and coding agent index scores for both SWE-2 and Muse Spark 1.1 when publicly disclosed.

LLM Comparison

SWE-2 vs Muse Spark 1.1: benchmark scores, pricing & comparison.

Side-by-side SWE-2 vs Muse Spark 1.1 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: SWE-2 ranks higher (#22 vs #31); SWE-2 costs less ($0/$0 vs $1.25/$4.25 per 1M tokens).

Open live leaderboard SWE-2 model page Muse Spark 1.1 model page

Rank #22 vs #31AskClash overall scores 55.3 vs 52.5.

Pricing $0/$0 vs $1.25/$4.25Input and output token prices per 1M tokens when published.

Proprietary vs ProprietaryCognition vs Meta.

SWE-2 vs Muse Spark 1.1 benchmark comparison

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

Metric	SWE-2	Muse Spark 1.1
Overall Score	55.3	52.5
Leaderboard Rank	#22	#31
ACB	60.0	51.3
RWT	8.5	7.5
Coding Agent Index	51.9	—
HLE	43.5	62.1
GPQA	93.5	—
SWE-Pro	—	61.5
SWE-Atlas	66.1	—
Terminal-Bench	27.3	—
DeepSWE	73.0	53.3
GDPval-AA	1668.0	1381.0
OSWorld	—	80.8
MCP Atlas	84.2	88.1
Finance Agent	54.4	57.2
CharXiv	84.8	88.4
MMMU-Pro	81.6	—
MRCR	—	54.1
Input Price (per 1M tokens)	$0	$1.25
Output Price (per 1M tokens)	$0	$4.25
Context Window	256K	1M
Benchmarks Published	13	9

SWE-2 vs Muse Spark 1.1 head-to-head charts

SWE-2 leads 5 and Muse Spark 1.1 leads 4 of 9 shared benchmarks. SWE-2 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

SWE-2Muse Spark 1.1

Overall

55.3SWE-2

52.5Muse Spark 1.1

ACB

60.0SWE-2

51.3Muse Spark 1.1

RWT

8.5SWE-2

7.5Muse Spark 1.1

HLE

43.5SWE-2

62.1Muse Spark 1.1

DeepSWE

73.0SWE-2

53.3Muse Spark 1.1

GDPval-AA

1668.0SWE-2

1381.0Muse Spark 1.1

MCP Atlas

84.2SWE-2

88.1Muse Spark 1.1

Finance Agent

54.4SWE-2

57.2Muse Spark 1.1

CharXiv

84.8SWE-2

88.4Muse Spark 1.1

SWE-2

Input$0

Output$0

Workload$0.00

Context256K

Muse Spark 1.1

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 SWE-2 and Muse Spark 1.1 comparisons

Explore how SWE-2 and Muse Spark 1.1 stack up against other top-ranked LLMs.

Claude Opus 5.5 vs SWE-2 Claude Opus 5.5 vs Muse Spark 1.1 Claude Sonnet 5.5 vs SWE-2 Claude Sonnet 5.5 vs Muse Spark 1.1 Claude Fable 5.1 vs SWE-2 Claude Fable 5.1 vs Muse Spark 1.1 Claude Opus 5 vs SWE-2 Claude Opus 5 vs Muse Spark 1.1 Claude Fable 5 vs SWE-2 Claude Fable 5 vs Muse Spark 1.1

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.