LLM Comparison

Muse Spark 1.3 vs Muse Spark 1.2: benchmark scores, pricing & comparison.

Side-by-side Muse Spark 1.3 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.

Verdict: Muse Spark 1.3 ranks higher (#13 vs #31) and wins 5 of 7 shared benchmarks.

Rank #13 vs #31AskClash overall scores 62.9 vs 55.0.
Pricing $1.25/$4.25 vs $1.25/$4.25Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryMeta vs Meta.

Muse Spark 1.3 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.

MetricMuse Spark 1.3Muse Spark 1.2
Overall Score62.955.0
Leaderboard Rank#13#31
ACB62.654.8
RWT7.57.5
HLE49.145.5
GPQA93.890.4
SWE-Atlas59.4—
Terminal-Bench33.3—
DeepSWE75.459.0
GDPval-AA1754.01473.0
MCP Atlas—82.2
Finance Agent58.960.6
MRCR98.1—
Input Price (per 1M tokens)$1.25$1.25
Output Price (per 1M tokens)$4.25$4.25
Context Window1M1M
Benchmarks Published1110

Muse Spark 1.3 vs Muse Spark 1.2 head-to-head charts

Muse Spark 1.3 leads 6 and Muse Spark 1.2 leads 1 of 8 shared benchmarks. Charts show only benchmarks both models publish.

Muse Spark 1.3Muse Spark 1.2
Overall
62.9Muse Spark 1.3
55.0Muse Spark 1.2
ACB
62.6Muse Spark 1.3
54.8Muse Spark 1.2
RWT
7.5Muse Spark 1.3
7.5Muse Spark 1.2
HLE
49.1Muse Spark 1.3
45.5Muse Spark 1.2
GPQA
93.8Muse Spark 1.3
90.4Muse Spark 1.2
DeepSWE
75.4Muse Spark 1.3
59.0Muse Spark 1.2
GDPval-AA
1754.0Muse Spark 1.3
1473.0Muse Spark 1.2
Finance Agent
58.9Muse Spark 1.3
60.6Muse Spark 1.2
Muse Spark 1.3
Input$1.25
Output$4.25
Workload$2.10
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 Muse Spark 1.3 and Muse Spark 1.2 comparisons

Explore how Muse Spark 1.3 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.