LLM Comparison

DeepSeek V4 Pro 0813 vs Muse Spark 1.2: benchmark scores, pricing & comparison.

Side-by-side DeepSeek V4 Pro 0813 vs Muse Spark 1.2 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.

Rank #22 vs #23AskClash overall scores 53.1 vs 53.0.
Pricing $0.43/$0.87 vs $1.25/$4.25Input and output token prices per 1M tokens when published.
Open Weight vs ProprietaryDeepSeek vs Meta.

DeepSeek V4 Pro 0813 vs Muse Spark 1.2 benchmark comparison

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

MetricDeepSeek V4 Pro 0813Muse Spark 1.2
Overall Score53.153.0
Leaderboard Rank#22#23
ACB54.854.8
RWT7.07.5
HLE42.7
GPQA90.1
SWE-bench80.6
SWE-Pro55.4
Terminal-Bench87.9
DeepSWE62.759.0
GDPval-AA1554.0
MCP Atlas73.682.2
Finance Agent44.1
Tau296.2
Input Price (per 1M tokens)$0.43$1.25
Output Price (per 1M tokens)$0.87$4.25
Context Window1M1M
Benchmarks Published114

DeepSeek V4 Pro 0813 vs Muse Spark 1.2 head-to-head charts

DeepSeek V4 Pro 0813 leads 3 and Muse Spark 1.2 leads 2 of 5 shared benchmarks. DeepSeek V4 Pro 0813 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

DeepSeek V4 Pro 0813Muse Spark 1.2
Overall
53.1DeepSeek V4 Pro 0813
53.0Muse Spark 1.2
ACB
54.8DeepSeek V4 Pro 0813
54.8Muse Spark 1.2
RWT
7.0DeepSeek V4 Pro 0813
7.5Muse Spark 1.2
DeepSWE
62.7DeepSeek V4 Pro 0813
59.0Muse Spark 1.2
MCP Atlas
73.6DeepSeek V4 Pro 0813
82.2Muse Spark 1.2
DeepSeek V4 Pro 0813
Input$0.43
Output$0.87
Workload$0.61
Context1M
Muse Spark 1.2
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 DeepSeek V4 Pro 0813 and Muse Spark 1.2 comparisons

Explore how DeepSeek V4 Pro 0813 and Muse Spark 1.2 stack up against other top-ranked LLMs.

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.