Compare Models
Select models (max 5)
Gemini 3.8 FlashMuse Spark 1.3 Max
 |  |  |
|---|---|---|
| Vals IndexGDP-weighted benchmark | 54.83%±1.03 | 58.16%±1.19 |
| Legal Research BenchAgentic US legal research | 38.94%±3.39 | 55.29%±3.46 |
| Finance Agent (v2)Core financial analyst tasks | 61.44%±0.13 | 59.96%±2.06 |
| Tax Agent BenchAgentic US corporate tax research | 66.77%±3.15 | 72.44%±2.88 |
| MedCodeMedical billing code support | 48.13%±2.18 | N/A |
| Terminal-Bench ScienceExpert-authored scientific research workflows | 8.57%±3.37 | 10.00%±3.61 |
| Code MigrationRewriting programs in new languages | 36.55%±4.18 | 47.41%±4.26 |
| Terminal-Bench 4.0Frontier-difficulty terminal tasks | 19.19%±2.52 | 24.75%±0.51 |
| Vibe Code Bench v1.1Building web apps from scratch | 78.65%±3.88 | 85.86%±2.51 |
Benchmarks
Vals Index *
Gemini 3.8 Flash
0.00%± 1.03
(43/43)Muse Spark 1.3 Max
0.00%± 1.19
(43/43)Legal Research Bench *
Gemini 3.8 Flash
0.00%± 3.39
(73/73)Muse Spark 1.3 Max
0.00%± 3.46
(73/73)Finance Agent (v2) *
Gemini 3.8 Flash
0.00%± 0.13
(74/74)Muse Spark 1.3 Max
0.00%± 2.06
(74/74)Tax Agent Bench *
Gemini 3.8 Flash
0.00%± 3.15
(65/65)Muse Spark 1.3 Max
0.00%± 2.88
(65/65)MedCode *
Gemini 3.8 Flash
0.00%± 2.18
(104/104)Muse Spark 1.3 Max
N/ATerminal-Bench Science
Gemini 3.8 Flash
0.00%± 3.37
(38/38)Muse Spark 1.3 Max
0.00%± 3.61
(38/38)Code Migration *
Gemini 3.8 Flash
0.00%± 4.18
(73/73)Muse Spark 1.3 Max
0.00%± 4.26
(73/73)Terminal-Bench 4.0
Gemini 3.8 Flash
0.00%± 2.52
(43/43)Muse Spark 1.3 Max
0.00%± 0.51
(43/43)Vibe Code Bench v1.1 *
Gemini 3.8 Flash
0.00%± 3.88
(108/108)Muse Spark 1.3 Max
0.00%± 2.51
(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.39.52%
Finance
68.04%
vs.66.61%
Healthcare
66.32%
vs.N/A
Math
48.00%
vs.58.00%
Science
35.76%
vs.23.02%
Academic
91.25%
vs.N/A
Education
35.06%
vs.N/A
Coding
48.73%
vs.39.59%
Cyber
43.75%
vs.72.74%
Social Mobility
65.29%
vs.N/A
Cost Analysis
Per task and per token model pricing.
Vals Index · USD
$5.729
$3.787
Cost / TestVals Index
$5.729
vs.$3.787
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 | 1413.29s |
| Cost (In/Out) | $1.5 / $7.5 | $1.25 / $4.25 |
| Context Window | 1M | 1M |
| Max Output Token | 66k | 131k |
| Input Modality |