Compare Models
Select models (max 5)
Grok 4.6Muse Spark 1.3
| Vals IndexGDP-weighted benchmark | 52.09%±1.15 | 53.20%±1.07 |
| Legal Research BenchAgentic US legal research | 48.08%±3.47 | 40.87%±3.42 |
| Finance Agent (v2)Core financial analyst tasks | 53.68%±0.67 | 58.90%±0.44 |
| Tax Agent BenchAgentic US corporate tax research | 33.14%±3.40 | 35.97%±3.42 |
| MedCodeMedical billing code support | 44.71%±2.26 | N/A |
| Terminal-Bench-ScienceExpert-authored scientific research workflows | 11.43%±3.83 | 4.29%±2.44 |
| Code MigrationRewriting programs in new languages | 44.57%±4.48 | 27.58%±4.07 |
| Terminal-Bench 4.0Frontier-difficulty terminal tasks | 17.17%±1.34 | 10.61%±1.75 |
| Vibe Code Bench v1.1Building web apps from scratch | 76.24%±3.82 | 82.86%±2.90 |
Benchmarks
Vals Index *
Grok 4.6
0.00%± 1.15
(50/50)Muse Spark 1.3
0.00%± 1.07
(50/50)Legal Research Bench *
Grok 4.6
0.00%± 3.47
(80/80)Muse Spark 1.3
0.00%± 3.42
(80/80)Finance Agent (v2) *
Grok 4.6
0.00%± 0.67
(80/80)Muse Spark 1.3
0.00%± 0.44
(80/80)Tax Agent Bench *
Grok 4.6
0.00%± 3.40
(71/71)Muse Spark 1.3
0.00%± 3.42
(71/71)MedCode *
Grok 4.6
0.00%± 2.26
(107/107)Muse Spark 1.3
N/ATerminal-Bench-Science
Grok 4.6
0.00%± 3.83
(41/41)Muse Spark 1.3
0.00%± 2.44
(41/41)Code Migration *
Grok 4.6
0.00%± 4.48
(79/79)Muse Spark 1.3
0.00%± 4.07
(79/79)Terminal-Bench 4.0
Grok 4.6
0.00%± 1.34
(50/50)Muse Spark 1.3
0.00%± 1.75
(50/50)Vibe Code Bench v1.1 *
Grok 4.6
0.00%± 3.82
(114/114)Muse Spark 1.3
0.00%± 2.90
(114/114)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
50.07%
vs.31.89%
Finance
56.97%
vs.52.53%
Healthcare
65.62%
vs.N/A
Math
51.00%
vs.55.00%
Science
38.09%
vs.4.29%
Academic
92.05%
vs.N/A
Education
28.90%
vs.N/A
Coding
48.99%
vs.33.10%
Cyber
67.68%
vs.69.41%
Social Mobility
66.85%
vs.N/A
Cost Analysis
Per task and per token model pricing.
Vals Index · USD
$4.492
$3.376
Cost / TestVals Index
$4.492
vs.$3.376
Input Cost/ 1M Tokens
$2.00
vs.$1.25
Input Cache Read/ 1M Tokens
$0.50
vs.$0.15
Output Cost/ 1M Tokens
$6.00
vs.$4.25
Model Metadata
Basic information about each model.
| Model provider | ||
| Latency | 2220.91s | 1965.59s |
| Cost (In/Out) | $2 / $6 | $1.25 / $4.25 |
| Context Window | 500k | 1M |
| Max Output Token | 500k | 131k |
| Input Modality |