Compare Models
Select models (max 5)
Gemini 3.6 FlashMuse Spark 1.2
 |  |  |
|---|---|---|
| Vals IndexGDP-weighted benchmark | N/A | 49.29%±1.10 |
| Legal Research BenchAgentic US legal research | 25.00%±3.01 | 43.75%±3.45 |
| Finance Agent (v2)Core financial analyst tasks | 56.30%±0.18 | 60.60%±0.28 |
| Tax Agent BenchAgentic US corporate tax research | 49.90%±3.30 | 56.86%±2.32 |
| MedCodeMedical billing code support | 53.15%±2.16 | 49.35%±2.19 |
| Terminal-Bench ScienceExpert-authored scientific research workflows | 4.29%±2.44 | N/A |
| Code MigrationRewriting programs in new languages | 30.93%±4.07 | 29.95%±4.02 |
| Terminal-Bench 4.0Frontier-difficulty terminal tasks | N/A | 6.06%±1.51 |
| Vibe Code Bench v1.1Building web apps from scratch | 64.00%±4.29 | 79.10%±3.31 |
Benchmarks
Vals Index *
Gemini 3.6 Flash
N/AMuse Spark 1.2
0.00%± 1.10
(43/43)Legal Research Bench *
Gemini 3.6 Flash
0.00%± 3.01
(73/73)Muse Spark 1.2
0.00%± 3.45
(73/73)Finance Agent (v2) *
Gemini 3.6 Flash
0.00%± 0.18
(74/74)Muse Spark 1.2
0.00%± 0.28
(74/74)Tax Agent Bench *
Gemini 3.6 Flash
0.00%± 3.30
(65/65)Muse Spark 1.2
0.00%± 2.32
(65/65)MedCode *
Gemini 3.6 Flash
0.00%± 2.16
(104/104)Muse Spark 1.2
0.00%± 2.19
(104/104)Terminal-Bench Science
Gemini 3.6 Flash
0.00%± 2.44
(38/38)Muse Spark 1.2
N/ACode Migration *
Gemini 3.6 Flash
0.00%± 4.07
(73/73)Muse Spark 1.2
0.00%± 4.02
(73/73)Terminal-Bench 4.0
Gemini 3.6 Flash
N/AMuse Spark 1.2
0.00%± 1.51
(43/43)Vibe Code Bench v1.1 *
Gemini 3.6 Flash
0.00%± 4.29
(108/108)Muse Spark 1.2
0.00%± 3.31
(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
38.35%
vs.51.48%
Finance
62.81%
vs.64.05%
Healthcare
66.41%
vs.69.70%
Math
N/A
vs.43.00%
Science
31.40%
vs.64.81%
Academic
90.36%
vs.87.20%
Education
48.69%
vs.47.66%
Coding
49.61%
vs.39.58%
Cyber
45.36%
vs.69.52%
Social Mobility
56.56%
vs.68.47%
Cost Analysis
Per task and per token model pricing.
Vals Index · USD
N/A
$1.942
Cost / TestVals Index
N/A
vs.$1.942
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 | N/A | 1376.30s |
| Cost (In/Out) | $1.5 / $7.5 | $1.25 / $4.25 |
| Context Window | 1M | 1M |
| Max Output Token | 66k | 131k |
| Input Modality |