Compare Models
Select models (max 5)
Muse Spark 1.1MiniMax-M3.1-Flash
| Vals IndexGDP-weighted benchmark | N/A | 53.78%±1.07 |
| Legal Research BenchAgentic US legal research | 37.98%±3.37 | 34.13%±3.30 |
| Finance Agent v2.1Core financial analyst tasks | N/A | 58.83%±2.07 |
| Tax Agent BenchAgentic US corporate tax research | N/A | 32.14%±3.34 |
| Terminal-Bench 4.0Frontier-difficulty terminal tasks | N/A | 25.25%±1.01 |
| Vibe Code Bench v1.1Building web apps from scratch | 72.16%±3.33 | 73.94%±4.25 |
Benchmarks
Vals Index *
Muse Spark 1.1
N/AMiniMax-M3.1-Flash
0.00%± 1.07
(22/22)Legal Research Bench *
Muse Spark 1.1
0.00%± 3.37
(81/81)MiniMax-M3.1-Flash
0.00%± 3.30
(81/81)Finance Agent v2.1 *
Muse Spark 1.1
N/AMiniMax-M3.1-Flash
0.00%± 2.07
(27/27)Tax Agent Bench *
Muse Spark 1.1
N/AMiniMax-M3.1-Flash
0.00%± 3.34
(72/72)Terminal-Bench 4.0
Muse Spark 1.1
N/AMiniMax-M3.1-Flash
0.00%± 1.01
(51/51)Vibe Code Bench v1.1 *
Muse Spark 1.1
0.00%± 3.33
(115/115)MiniMax-M3.1-Flash
0.00%± 4.25
(115/115)Overall performance
Performance on the Vals Index, a GDP-weighted aggregation of tasks across finance, coding, and law
Comparison by Industry
Model performance on different sections of the economy.
Legal
61.48%
vs.20.82%
Finance
72.93%
vs.52.94%
Healthcare
88.89%
vs.N/A
Academic
88.83%
vs.N/A
Education
45.58%
vs.N/A
Coding
59.85%
vs.49.60%
Social Mobility
61.30%
vs.N/A
Cost Analysis
Per task and per token model pricing.
Vals Index · USD
N/A
$0.66
Cost / TestVals Index
N/A
vs.$0.66
Input Cost/ 1M Tokens
$1.25
vs.$0.15
Input Cache Read/ 1M Tokens
$0.15
vs.$0.015
Output Cost/ 1M Tokens
$4.25
vs.$0.60
Model Metadata
Basic information about each model.
| Model provider | ||
| Latency | N/A | 2597.84s |
| Cost (In/Out) | $1.25 / $4.25 | $0.15 / $0.6 |
| Context Window | 1M | 1M |
| Max Output Token | 256k | 524k |
| Input Modality |