LLM Comparison

Muse Spark 1.1 vs Grok 4.5: benchmark scores, pricing & comparison.

Side-by-side Muse Spark 1.1 vs Grok 4.5 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 #7 vs #9AskClash overall scores 72.9 vs 72.2.
Pricing $1.25/$4.25 vs $2.00/$6.00Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryMeta vs xAI.

Muse Spark 1.1 vs Grok 4.5 benchmark comparison

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

MetricMuse Spark 1.1Grok 4.5
Overall Score72.972.2
Leaderboard Rank#7#9
RWT7.59.0
Coding Agent Index76.4
HLE62.140.3
GPQA93.1
SWE-Pro61.564.7
SWE-Atlas83.9
Terminal-Bench80.083.3
OSWorld80.8
MCP Atlas88.1
Finance Agent57.248.3
CharXiv88.4
MMMU-Pro80.4
ARC-AGI 252.6
MRCR54.1
Input Price (per 1M tokens)$1.25$2.00
Output Price (per 1M tokens)$4.25$6.00
Context Window1M500K
Benchmarks Published1012

Muse Spark 1.1 vs Grok 4.5 head-to-head charts

Muse Spark 1.1 leads 3 and Grok 4.5 leads 3 of 6 shared benchmarks. Muse Spark 1.1 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Muse Spark 1.1Grok 4.5
Overall
72.9Muse Spark 1.1
72.2Grok 4.5
RWT
7.5Muse Spark 1.1
9.0Grok 4.5
HLE
62.1Muse Spark 1.1
40.3Grok 4.5
SWE-Pro
61.5Muse Spark 1.1
64.7Grok 4.5
Terminal-Bench
80.0Muse Spark 1.1
83.3Grok 4.5
Finance Agent
57.2Muse Spark 1.1
48.3Grok 4.5
Muse Spark 1.1
Input$1.25
Output$4.25
Workload$2.10
Context1M
Grok 4.5
Input$2.00
Output$6.00
Workload$3.20
Context500K

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

More Muse Spark 1.1 and Grok 4.5 comparisons

Explore how Muse Spark 1.1 and Grok 4.5 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.