How do Muse Spark 1.1 and DeepSeek V4 Pro (Max) 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 DeepSeek V4 Pro (Max) when publicly disclosed.

LLM Comparison

Muse Spark 1.1 vs DeepSeek V4 Pro (Max): benchmark scores, pricing & comparison.

Q: Which is better: Muse Spark 1.1 or DeepSeek V4 Pro (Max)?

AskClash compares Muse Spark 1.1 and DeepSeek V4 Pro (Max) 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 DeepSeek V4 Pro (Max) 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 DeepSeek V4 Pro (Max) model page

Rank #6 vs #27AskClash overall scores 77.5 vs 48.7.

Pricing $1.25/$4.25 vs $0.43/$0.87Input and output token prices per 1M tokens when published.

Proprietary vs Open WeightMeta vs DeepSeek.

Muse Spark 1.1 vs DeepSeek V4 Pro (Max) 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	DeepSeek V4 Pro (Max)
Overall Score	77.5	48.7
Leaderboard Rank	#6	#27
RWT	7.5	7.0
HLE	62.1	37.7
GPQA	—	90.1
MATH-500	—	64.5
SWE-bench	—	80.6
SWE-Pro	61.5	55.4
Terminal-Bench	80.0	67.9
OSWorld	80.8	—
MCP Atlas	88.1	73.6
Finance Agent	57.2	—
CharXiv	88.4	—
Tau2	—	96.2
MRCR	54.1	83.5
Input Price (per 1M tokens)	$1.25	$0.43
Output Price (per 1M tokens)	$4.25	$0.87
Context Window	1M	1M
Benchmarks Published	9	9

Muse Spark 1.1 vs DeepSeek V4 Pro (Max) head-to-head charts

Muse Spark 1.1 leads 6 and DeepSeek V4 Pro (Max) leads 1 of 7 shared benchmarks. DeepSeek V4 Pro (Max) is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Muse Spark 1.1DeepSeek V4 Pro (Max)

Overall

77.5Muse Spark 1.1

48.7DeepSeek V4 Pro (Max)

RWT

7.5Muse Spark 1.1

7.0DeepSeek V4 Pro (Max)

HLE

62.1Muse Spark 1.1

37.7DeepSeek V4 Pro (Max)

SWE-Pro

61.5Muse Spark 1.1

55.4DeepSeek V4 Pro (Max)

Terminal-Bench

80.0Muse Spark 1.1

67.9DeepSeek V4 Pro (Max)

MCP Atlas

88.1Muse Spark 1.1

73.6DeepSeek V4 Pro (Max)

MRCR

54.1Muse Spark 1.1

83.5DeepSeek V4 Pro (Max)

Muse Spark 1.1

Input$1.25

Output$4.25

Workload$2.10

Context1M

DeepSeek V4 Pro (Max)

Input$0.43

Output$0.87

Workload$0.61

Context1M

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

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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.