How do Muse Spark 1.1 and SWE-1.7 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 SWE-1.7 when publicly disclosed.

LLM Comparison

Muse Spark 1.1 vs SWE-1.7: benchmark scores, pricing & comparison.

Q: Which is better: Muse Spark 1.1 or SWE-1.7?

AskClash compares Muse Spark 1.1 and SWE-1.7 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 SWE-1.7 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 SWE-1.7 model page

Rank #6 vs #46AskClash overall scores 77.5 vs 26.4.

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

Proprietary vs ProprietaryMeta vs Cognition.

Muse Spark 1.1 vs SWE-1.7 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	SWE-1.7
Overall Score	77.5	26.4
Leaderboard Rank	#6	#46
RWT	7.5	8.5
HLE	62.1	—
SWE-Pro	61.5	—
Terminal-Bench	80.0	81.5
OSWorld	80.8	—
MCP Atlas	88.1	—
Finance Agent	57.2	—
CharXiv	88.4	—
MRCR	54.1	—
Input Price (per 1M tokens)	$1.25	$0
Output Price (per 1M tokens)	$4.25	$0
Context Window	1M	256K
Benchmarks Published	9	1

Muse Spark 1.1 vs SWE-1.7 head-to-head charts

Muse Spark 1.1 leads 1 and SWE-1.7 leads 2 of 3 shared benchmarks. SWE-1.7 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Muse Spark 1.1SWE-1.7

Overall

77.5Muse Spark 1.1

26.4SWE-1.7

RWT

7.5Muse Spark 1.1

8.5SWE-1.7

Terminal-Bench

80.0Muse Spark 1.1

81.5SWE-1.7

Muse Spark 1.1

Input$1.25

Output$4.25

Workload$2.10

Context1M

SWE-1.7

Input$0

Output$0

Workload$0.00

Context256K

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

More Muse Spark 1.1 and SWE-1.7 comparisons

Explore how Muse Spark 1.1 and SWE-1.7 stack up against other top-ranked LLMs.

Claude Fable 5 vs Muse Spark 1.1 Claude Fable 5 vs SWE-1.7 GPT-5.6 Sol vs Muse Spark 1.1 GPT-5.6 Sol vs SWE-1.7 Kimi K3 vs Muse Spark 1.1 Kimi K3 vs SWE-1.7 Claude Opus 4.8 vs Muse Spark 1.1 Claude Opus 4.8 vs SWE-1.7 Grok 4.5 vs Muse Spark 1.1 Grok 4.5 vs SWE-1.7

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.