Compare Models
Select models (max 5)
Muse Spark 1.3GLM 5.3
 |  |  |
|---|---|---|
| Vals IndexGDP-weighted benchmark | 53.20%±1.07 | 53.51%±1.30 |
| Legal Research BenchAgentic US legal research | 40.87%±3.42 | 49.04%±3.48 |
| Finance Agent (v2)Core financial analyst tasks | 58.90%±0.44 | 55.84%±2.07 |
| Tax Agent BenchAgentic US corporate tax research | 35.97%±3.42 | 39.70%±3.52 |
| MedCodeMedical billing code support | N/A | 42.86%±2.11 |
| Terminal-Bench-ScienceExpert-authored scientific research workflows | 4.29%±2.44 | 5.71%±2.79 |
| Code MigrationRewriting programs in new languages | 27.58%±4.07 | 44.22%±4.29 |
| Terminal-Bench 4.0Frontier-difficulty terminal tasks | 10.61%±1.75 | 38.89%±1.82 |
| Vibe Code Bench v1.1Building web apps from scratch | 82.86%±2.90 | 78.13%±3.94 |
Benchmarks
Vals Index *
Muse Spark 1.3
0.00%± 1.07
(50/50)GLM 5.3
0.00%± 1.30
(50/50)Legal Research Bench *
Muse Spark 1.3
0.00%± 3.42
(80/80)GLM 5.3
0.00%± 3.48
(80/80)Finance Agent (v2) *
Muse Spark 1.3
0.00%± 0.44
(80/80)GLM 5.3
0.00%± 2.07
(80/80)Tax Agent Bench *
Muse Spark 1.3
0.00%± 3.42
(71/71)GLM 5.3
0.00%± 3.52
(71/71)MedCode *
Muse Spark 1.3
N/AGLM 5.3
0.00%± 2.11
(107/107)Terminal-Bench-Science
Muse Spark 1.3
0.00%± 2.44
(41/41)GLM 5.3
0.00%± 2.79
(41/41)Code Migration *
Muse Spark 1.3
0.00%± 4.07
(79/79)GLM 5.3
0.00%± 4.29
(79/79)Terminal-Bench 4.0
Muse Spark 1.3
0.00%± 1.75
(50/50)GLM 5.3
0.00%± 1.82
(50/50)Vibe Code Bench v1.1 *
Muse Spark 1.3
0.00%± 2.90
(114/114)GLM 5.3
0.00%± 3.94
(114/114)Overall performance
Performance on the Vals Index, a GDP-weighted aggregation of tasks across finance, coding, and law
•2026-10-18
Comparison by Industry
Model performance on different sections of the economy.
Legal
31.89%
vs.47.40%
Finance
52.53%
vs.56.06%
Healthcare
N/A
vs.65.84%
Math
55.00%
vs.49.00%
Science
4.29%
vs.14.34%
Academic
N/A
vs.87.45%
Coding
33.10%
vs.52.74%
Cyber
69.41%
vs.40.62%
Social Mobility
N/A
vs.68.54%
Cost Analysis
Per task and per token model pricing.
Vals Index · USD
$3.376
$7.249
Cost / TestVals Index
$3.376
vs.$7.249
Input Cost/ 1M Tokens
$1.25
vs.$1.40
Input Cache Read/ 1M Tokens
$0.15
vs.$0.26
Output Cost/ 1M Tokens
$4.25
vs.$4.40
Model Metadata
Basic information about each model.
| | |
|---|---|---|
| Model provider | Meta | zAI |
| Latency | 1965.59s | 4392.77s |
| Cost (In/Out) | $1.25 / $4.25 | $1.4 / $4.4 |
| Context Window | 1M | 1M |
| Max Output Token | 131k | 128k |
| Input Modality |