LLM Comparison

Grok 4.6 vs Muse Spark 1.3: benchmark scores, pricing & comparison.

Side-by-side Grok 4.6 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.

Rank #5 vs #15AskClash overall scores 65.6 vs 58.2.
Pricing $2.00/$6.00 vs $1.25/$4.25Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryxAI vs Meta.

Grok 4.6 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.

MetricGrok 4.6Muse Spark 1.3
Overall Score65.658.2
Leaderboard Rank#5#15
ACB69.055.5
RWT9.07.5
GPQA94.9
SWE-Atlas59.4
Terminal-Bench88.488.8
DeepSWE65.975.4
GDPval-AA1753.01754.0
Finance Agent53.7
MRCR98.1
Input Price (per 1M tokens)$2.00$1.25
Output Price (per 1M tokens)$6.00$4.25
Context Window500K1M
Benchmarks Published76

Grok 4.6 vs Muse Spark 1.3 head-to-head charts

Grok 4.6 leads 3 and Muse Spark 1.3 leads 3 of 6 shared benchmarks. Muse Spark 1.3 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Grok 4.6Muse Spark 1.3
Overall
65.6Grok 4.6
58.2Muse Spark 1.3
ACB
69.0Grok 4.6
55.5Muse Spark 1.3
RWT
9.0Grok 4.6
7.5Muse Spark 1.3
Terminal-Bench
88.4Grok 4.6
88.8Muse Spark 1.3
DeepSWE
65.9Grok 4.6
75.4Muse Spark 1.3
GDPval-AA
1753.0Grok 4.6
1754.0Muse Spark 1.3
Grok 4.6
Input$2.00
Output$6.00
Workload$3.20
Context500K
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 Grok 4.6 and Muse Spark 1.3 comparisons

Explore how Grok 4.6 and Muse Spark 1.3 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.