Compare Models
Select models (max 5)
Gemini 3.8 FlashMuse Spark 1.3
 |  |  |
|---|---|---|
| Vals IndexGDP-weighted benchmark | 54.83%±1.03 | 53.20%±1.07 |
| Legal Research BenchAgentic US legal research | 38.94%±3.39 | 40.87%±3.42 |
| Finance Agent (v2)Core financial analyst tasks | 61.44%±0.13 | 58.90%±0.44 |
| Tax Agent BenchAgentic US corporate tax research | 66.77%±3.15 | 71.93%±2.92 |
| MedCodeMedical billing code support | 48.13%±2.18 | N/A |
| Terminal-Bench ScienceExpert-authored scientific research workflows | 8.57%±3.37 | 4.29%±2.44 |
| Code MigrationRewriting programs in new languages | 36.55%±4.18 | 27.58%±4.07 |
| Terminal-Bench 4.0Frontier-difficulty terminal tasks | 19.19%±2.52 | 10.61%±1.75 |
| Vibe Code Bench v1.1Building web apps from scratch | 78.65%±3.88 | 82.86%±2.90 |
Benchmarks
Vals Index *
Gemini 3.8 Flash
0.00%± 1.03
(43/43)Muse Spark 1.3
0.00%± 1.07
(43/43)Legal Research Bench *
Gemini 3.8 Flash
0.00%± 3.39
(73/73)Muse Spark 1.3
0.00%± 3.42
(73/73)Finance Agent (v2) *
Gemini 3.8 Flash
0.00%± 0.13
(74/74)Muse Spark 1.3
0.00%± 0.44
(74/74)Tax Agent Bench *
Gemini 3.8 Flash
0.00%± 3.15
(65/65)Muse Spark 1.3
0.00%± 2.92
(65/65)MedCode *
Gemini 3.8 Flash
0.00%± 2.18
(104/104)Muse Spark 1.3
N/ATerminal-Bench Science
Gemini 3.8 Flash
0.00%± 3.37
(38/38)Muse Spark 1.3
0.00%± 2.44
(38/38)Code Migration *
Gemini 3.8 Flash
0.00%± 4.18
(73/73)Muse Spark 1.3
0.00%± 4.07
(73/73)Terminal-Bench 4.0
Gemini 3.8 Flash
0.00%± 2.52
(43/43)Muse Spark 1.3
0.00%± 1.75
(43/43)Vibe Code Bench v1.1 *
Gemini 3.8 Flash
0.00%± 3.88
(108/108)Muse Spark 1.3
0.00%± 2.90
(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
45.31%
vs.31.89%
Finance
68.04%
vs.64.52%
Healthcare
66.32%
vs.N/A
Math
48.00%
vs.55.00%
Science
35.76%
vs.4.29%
Academic
91.25%
vs.N/A
Education
35.06%
vs.N/A
Coding
48.73%
vs.33.10%
Cyber
43.75%
vs.69.41%
Social Mobility
65.29%
vs.N/A
Cost Analysis
Per task and per token model pricing.
Vals Index · USD
$5.729
$3.376
Cost / TestVals Index
$5.729
vs.$3.376
Input Cost/ 1M Tokens
$1.50
vs.$1.25
Input Cache Read/ 1M Tokens
$0.15
vs.$0.15
Output Cost/ 1M Tokens
$7.50
vs.$4.25
Model Metadata
Basic information about each model.
| | |
|---|---|---|
| Model provider | Google | Meta |
| Latency | 3117.16s | 1962.38s |
| Cost (In/Out) | $1.5 / $7.5 | $1.25 / $4.25 |
| Context Window | 1M | 1M |
| Max Output Token | 66k | 131k |
| Input Modality |