GLM-5.2 vs Muse Spark 1.1
Head-to-head technical comparison of intelligence, capabilities, and API pricing.
Which should you use?
GLM-5.2 and Muse Spark 1.1 score within 0.8 points of each other on the composite index, which is too close to call a winner on capability alone.
Only GLM-5.2 ships open weights, which decides it outright if the workload has to run on your own hardware.
Pick GLM-5.2 when
- Open weights, so it is the only one of the two you can run on your own hardware or keep data entirely in-house.
Pick Muse Spark 1.1 when
- Ahead on Arena Elo by 27 points (1492 vs 1465), which is outside the board's published confidence intervals.
- Stronger on MMLU-Pro: 91.9% against 91.2%.
- Cheaper input tokens — $1.25 against $1.4 per 1M, so GLM-5.2 costs 1.1x as much to feed.
Value per point of measured capability, at list input pricing: Muse Spark 1.1 $0.014 · GLM-5.2 $0.015 per index point. Run your own token mix through the token cost calculator — a comparison at list price ignores caching and batch discounts, which move real bills more than this gap does.
Where these numbers come from
Figures as of 2026-09-14. Arena Elo and pricing are read from the public board and each vendor's own pricing page; see the full leaderboard for all 34 models and which columns are measured rather than estimated, or the benchmark matrix for scores benchmark by benchmark.