Compare Models
Select models (max 5)
Gemini 3.8 FlashGrok 4.7
 |  |  |
|---|---|---|
| Vals IndexGDP-weighted benchmark | 54.83%±1.03 | 54.95%±1.07 |
| Legal Research BenchAgentic US legal research | 38.94%±3.39 | 47.12%±3.47 |
| Finance Agent (v2)Core financial analyst tasks | 61.44%±0.13 | 52.25%±0.35 |
| Tax Agent BenchAgentic US corporate tax research | 66.77%±3.15 | 65.60%±3.24 |
| MedCodeMedical billing code support | 48.13%±2.18 | 49.55%±2.17 |
| 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 | 44.82%±4.21 |
| Terminal-Bench 4.0Frontier-difficulty terminal tasks | 19.19%±2.52 | 28.79%±2.31 |
| Vibe Code Bench v1.1Building web apps from scratch | 78.65%±3.88 | 86.17%±2.18 |
Benchmarks
Vals Index *
Gemini 3.8 Flash
0.00%± 1.03
(43/43)Grok 4.7
0.00%± 1.07
(43/43)Legal Research Bench *
Gemini 3.8 Flash
0.00%± 3.39
(73/73)Grok 4.7
0.00%± 3.47
(73/73)Finance Agent (v2) *
Gemini 3.8 Flash
0.00%± 0.13
(74/74)Grok 4.7
0.00%± 0.35
(74/74)Tax Agent Bench *
Gemini 3.8 Flash
0.00%± 3.15
(65/65)Grok 4.7
0.00%± 3.24
(65/65)MedCode *
Gemini 3.8 Flash
0.00%± 2.18
(104/104)Grok 4.7
0.00%± 2.17
(104/104)Terminal-Bench Science
Gemini 3.8 Flash
0.00%± 3.37
(38/38)Grok 4.7
0.00%± 3.61
(38/38)Code Migration *
Gemini 3.8 Flash
0.00%± 4.18
(73/73)Grok 4.7
0.00%± 4.21
(73/73)Terminal-Bench 4.0
Gemini 3.8 Flash
0.00%± 2.52
(43/43)Grok 4.7
0.00%± 2.31
(43/43)Vibe Code Bench v1.1 *
Gemini 3.8 Flash
0.00%± 3.88
(108/108)Grok 4.7
0.00%± 2.18
(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.48.00%
Finance
68.04%
vs.61.61%
Healthcare
66.32%
vs.69.47%
Math
48.00%
vs.26.00%
Science
35.76%
vs.34.83%
Academic
91.25%
vs.N/A
Education
35.06%
vs.40.79%
Coding
48.73%
vs.43.60%
Cyber
43.75%
vs.69.46%
Social Mobility
65.29%
vs.65.63%
Cost Analysis
Per task and per token model pricing.
Vals Index · USD
$5.729
$12.12
Cost / TestVals Index
$5.729
vs.$12.12
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 | 3117.16s | 2131.40s |
| Cost (In/Out) | $1.5 / $7.5 | $2 / $6 |
| Context Window | 1M | 500k |
| Max Output Token | 66k | 500k |
| Input Modality |