Compare Models
Select models (max 5)
Gemini 3.7 FlashGrok 4.7
 |  |  |
|---|---|---|
| Vals IndexGDP-weighted benchmark | 59.31%±1.06 | 60.22%±1.08 |
| Legal Research BenchAgentic US legal research | 34.62%±3.31 | 47.12%±3.47 |
| Finance Agent (v2)Core financial analyst tasks | 59.04%±0.27 | 52.25%±0.35 |
| Tax Agent BenchAgentic US corporate tax research | 57.66%±3.31 | 65.60%±3.24 |
| MedCodeMedical billing code support | 53.39%±2.12 | 49.55%±2.17 |
| Terminal-Bench ScienceExpert-authored scientific research workflows | 5.71%±2.79 | 11.43%±3.83 |
| Code MigrationRewriting programs in new languages | 34.80%±4.22 | 44.82%±4.21 |
| Terminal-Bench 4.0Frontier-difficulty terminal tasks | 6.06%±0.88 | 28.28%±1.34 |
| Vibe Code Bench v1.1Building web apps from scratch | 70.39%±4.84 | 86.17%±2.18 |
Benchmarks
Vals Index *
Gemini 3.7 Flash
0.00%± 1.06
(66/66)Grok 4.7
0.00%± 1.08
(66/66)Legal Research Bench *
Gemini 3.7 Flash
0.00%± 3.31
(69/69)Grok 4.7
0.00%± 3.47
(69/69)Finance Agent (v2) *
Gemini 3.7 Flash
0.00%± 0.27
(70/70)Grok 4.7
0.00%± 0.35
(70/70)Tax Agent Bench *
Gemini 3.7 Flash
0.00%± 3.31
(61/61)Grok 4.7
0.00%± 3.24
(61/61)MedCode *
Gemini 3.7 Flash
0.00%± 2.12
(102/102)Grok 4.7
0.00%± 2.17
(102/102)Terminal-Bench Science
Gemini 3.7 Flash
0.00%± 2.79
(33/33)Grok 4.7
0.00%± 3.83
(33/33)Code Migration *
Gemini 3.7 Flash
0.00%± 4.22
(69/69)Grok 4.7
0.00%± 4.21
(69/69)Terminal-Bench 4.0
Gemini 3.7 Flash
0.00%± 0.88
(37/37)Grok 4.7
0.00%± 1.34
(37/37)Vibe Code Bench v1.1 *
Gemini 3.7 Flash
0.00%± 4.84
(104/104)Grok 4.7
0.00%± 2.18
(104/104)Overall performance
Performance on the Vals Index, a GDP-weighted aggregation of tasks across finance, coding, and law
•2026-09-27
Comparison by Industry
Model performance on different sections of the economy.
Vals Index
38.79%
vs.40.21%
Legal
43.54%
vs.48.00%
Finance
65.88%
vs.61.61%
Healthcare
68.67%
vs.69.47%
Math
58.00%
vs.26.00%
Science
5.71%
vs.35.30%
Academic
91.01%
vs.N/A
Education
49.23%
vs.40.79%
Coding
51.80%
vs.43.50%
Beta
24.16%
vs.69.46%
Social Mobility
N/A
vs.65.63%
Cost Analysis
Per task and per token model pricing.
Vals Index · USD
$4.17
$11.16
Cost / TestVals Index
$4.17
vs.$11.16
Input Cost/ 1M Tokens
$1.50
vs.$2.00
Input Cache Read/ 1M Tokens
$0.15
vs.$0.50
Output Cost/ 1M Tokens
$7.50
vs.$6.00
Model Metadata
Basic information about each model.
| | |
|---|---|---|
| Model provider | Google | SpaceXAI |
| Latency | 2592.93s | 1975.97s |
| Cost (In/Out) | $1.5 / $7.5 | $2 / $6 |
| Context Window | 1M | 500k |
| Max Output Token | 66k | 500k |
| Input Modality |