Compare Models
Select models (max 5)
Muse Spark 1.3GPT-5.6 Luna
 |  |  |
|---|---|---|
| Vals IndexGDP-weighted benchmark | 53.20%±1.07 | 51.69%±1.06 |
| Legal Research BenchAgentic US legal research | 40.87%±3.42 | 36.54%±3.35 |
| Finance Agent (v2)Core financial analyst tasks | 58.90%±0.44 | 55.04%±0.31 |
| Tax Agent BenchAgentic US corporate tax research | 71.93%±2.92 | 60.81%±3.26 |
| MedCodeMedical billing code support | N/A | 42.39%±2.27 |
| Terminal-Bench ScienceExpert-authored scientific research workflows | 4.29%±2.44 | 0.00%±0.00 |
| Code MigrationRewriting programs in new languages | 27.58%±4.07 | 44.55%±4.24 |
| Terminal-Bench 4.0Frontier-difficulty terminal tasks | 10.61%±1.75 | 11.62%±1.01 |
| Vibe Code Bench v1.1Building web apps from scratch | 82.86%±2.90 | 77.06%±3.07 |
Benchmarks
Vals Index *
Muse Spark 1.3
0.00%± 1.07
(43/43)GPT-5.6 Luna
0.00%± 1.06
(43/43)Legal Research Bench *
Muse Spark 1.3
0.00%± 3.42
(73/73)GPT-5.6 Luna
0.00%± 3.35
(73/73)Finance Agent (v2) *
Muse Spark 1.3
0.00%± 0.44
(74/74)GPT-5.6 Luna
0.00%± 0.31
(74/74)Tax Agent Bench *
Muse Spark 1.3
0.00%± 2.92
(65/65)GPT-5.6 Luna
0.00%± 3.26
(65/65)MedCode *
Muse Spark 1.3
N/AGPT-5.6 Luna
0.00%± 2.27
(104/104)Terminal-Bench Science
Muse Spark 1.3
0.00%± 2.44
(38/38)GPT-5.6 Luna
0.00%± 0.00
(38/38)Code Migration *
Muse Spark 1.3
0.00%± 4.07
(73/73)GPT-5.6 Luna
0.00%± 4.24
(73/73)Terminal-Bench 4.0
Muse Spark 1.3
0.00%± 1.75
(43/43)GPT-5.6 Luna
0.00%± 1.01
(43/43)Vibe Code Bench v1.1 *
Muse Spark 1.3
0.00%± 2.90
(108/108)GPT-5.6 Luna
0.00%± 3.07
(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.40.61%
Finance
64.52%
vs.65.29%
Healthcare
N/A
vs.63.39%
Math
55.00%
vs.60.00%
Science
4.29%
vs.25.30%
Academic
N/A
vs.87.58%
Education
N/A
vs.44.22%
Coding
33.10%
vs.46.38%
Cyber
69.41%
vs.73.63%
Social Mobility
N/A
vs.61.16%
Cost Analysis
Per task and per token model pricing.
Vals Index · USD
$3.376
$0.824
Cost / TestVals Index
$3.376
vs.$0.824
Input Cost/ 1M Tokens
$1.25
vs.$0.20
Input Cache Write/ 1M Tokens
N/A
vs.$0.25
Input Cache Read/ 1M Tokens
$0.15
vs.$0.02
Output Cost/ 1M Tokens
$4.25
vs.$1.20
Model Metadata
Basic information about each model.
| | |
|---|---|---|
| Model provider | Meta | OpenAI |
| Latency | 1962.38s | 1767.44s |
| Cost (In/Out) | $1.25 / $4.25 | $0.2 / $1.2 |
| Context Window | 1M | 1M |
| Max Output Token | 131k | 128k |
| Input Modality |