Compare Models
Select models (max 5)
Muse Spark 1.3MiMo V2.6 Pro
 |  |  |
|---|---|---|
| Vals IndexGDP-weighted benchmark | 53.20%±1.07 | 55.20%±1.18 |
| Legal Research BenchAgentic US legal research | 40.87%±3.42 | 47.12%±3.47 |
| Finance Agent (v2)Core financial analyst tasks | 58.90%±0.44 | 57.34%±0.57 |
| Tax Agent BenchAgentic US corporate tax research | 71.93%±2.92 | 64.94%±3.21 |
| MedCodeMedical billing code support | N/A | 44.97%±2.10 |
| Terminal-Bench ScienceExpert-authored scientific research workflows | 4.29%±2.44 | 2.86%±2.01 |
| Code MigrationRewriting programs in new languages | 27.58%±4.07 | 43.01%±4.32 |
| Terminal-Bench 4.0Frontier-difficulty terminal tasks | 10.61%±1.75 | 31.31%±3.07 |
| Vibe Code Bench v1.1Building web apps from scratch | 82.86%±2.90 | 85.22%±3.39 |
Benchmarks
Vals Index *
Muse Spark 1.3
0.00%± 1.07
(43/43)MiMo V2.6 Pro
0.00%± 1.18
(43/43)Legal Research Bench *
Muse Spark 1.3
0.00%± 3.42
(73/73)MiMo V2.6 Pro
0.00%± 3.47
(73/73)Finance Agent (v2) *
Muse Spark 1.3
0.00%± 0.44
(74/74)MiMo V2.6 Pro
0.00%± 0.57
(74/74)Tax Agent Bench *
Muse Spark 1.3
0.00%± 2.92
(65/65)MiMo V2.6 Pro
0.00%± 3.21
(65/65)MedCode *
Muse Spark 1.3
N/AMiMo V2.6 Pro
0.00%± 2.10
(104/104)Terminal-Bench Science
Muse Spark 1.3
0.00%± 2.44
(38/38)MiMo V2.6 Pro
0.00%± 2.01
(38/38)Code Migration *
Muse Spark 1.3
0.00%± 4.07
(73/73)MiMo V2.6 Pro
0.00%± 4.32
(73/73)Terminal-Bench 4.0
Muse Spark 1.3
0.00%± 1.75
(43/43)MiMo V2.6 Pro
0.00%± 3.07
(43/43)Vibe Code Bench v1.1 *
Muse Spark 1.3
0.00%± 2.90
(108/108)MiMo V2.6 Pro
0.00%± 3.39
(108/108)Overall performance
Performance on the Vals Index, a GDP-weighted aggregation of tasks across finance, coding, and law
•2026-10-02
Comparison by Industry
Model performance on different sections of the economy.
Legal
31.89%
vs.28.97%
Finance
64.52%
vs.61.71%
Healthcare
N/A
vs.66.64%
Math
55.00%
vs.70.00%
Science
4.29%
vs.9.09%
Education
N/A
vs.45.05%
Coding
33.10%
vs.39.88%
Cyber
69.41%
vs.37.95%
Social Mobility
N/A
vs.68.94%
Cost Analysis
Per task and per token model pricing.
Vals Index · USD
$3.376
$0.41
Cost / TestVals Index
$3.376
vs.$0.41
Input Cost/ 1M Tokens
$1.25
vs.$0.435
Input Cache Read/ 1M Tokens
$0.15
vs.$0.004
Output Cost/ 1M Tokens
$4.25
vs.$0.87
Model Metadata
Basic information about each model.
| | |
|---|---|---|
| Model provider | Meta | Xiaomi |
| Latency | 1962.38s | 4038.37s |
| Cost (In/Out) | $1.25 / $4.25 | $0.435 / $0.87 |
| Context Window | 1M | 1M |
| Max Output Token | 131k | 128k |
| Input Modality |