Compare Models
Select models (max 5)
Gemini 3.6 FlashGrok 4.5
 |  |  |
|---|---|---|
| Vals IndexGDP-weighted benchmark | N/A | 44.72%±1.17 |
| Legal Research BenchAgentic US legal research | 25.00%±3.01 | 37.98%±3.37 |
| Finance Agent (v2)Core financial analyst tasks | 56.30%±0.18 | 48.35%±0.46 |
| Tax Agent BenchAgentic US corporate tax research | 49.90%±3.30 | 64.32%±3.16 |
| MedCodeMedical billing code support | 53.15%±2.16 | 43.29%±2.31 |
| Terminal-Bench ScienceExpert-authored scientific research workflows | 4.29%±2.44 | N/A |
| Code MigrationRewriting programs in new languages | 30.93%±4.07 | 36.60%±4.14 |
| Terminal-Bench 4.0Frontier-difficulty terminal tasks | N/A | 8.59%±1.34 |
| Vibe Code Bench v1.1Building web apps from scratch | 64.00%±4.29 | 69.00%±4.48 |
Benchmarks
Vals Index *
Gemini 3.6 Flash
N/AGrok 4.5
0.00%± 1.17
(43/43)Legal Research Bench *
Gemini 3.6 Flash
0.00%± 3.01
(73/73)Grok 4.5
0.00%± 3.37
(73/73)Finance Agent (v2) *
Gemini 3.6 Flash
0.00%± 0.18
(74/74)Grok 4.5
0.00%± 0.46
(74/74)Tax Agent Bench *
Gemini 3.6 Flash
0.00%± 3.30
(65/65)Grok 4.5
0.00%± 3.16
(65/65)MedCode *
Gemini 3.6 Flash
0.00%± 2.16
(104/104)Grok 4.5
0.00%± 2.31
(104/104)Terminal-Bench Science
Gemini 3.6 Flash
0.00%± 2.44
(38/38)Grok 4.5
N/ACode Migration *
Gemini 3.6 Flash
0.00%± 4.07
(73/73)Grok 4.5
0.00%± 4.14
(73/73)Terminal-Bench 4.0
Gemini 3.6 Flash
N/AGrok 4.5
0.00%± 1.34
(43/43)Vibe Code Bench v1.1 *
Gemini 3.6 Flash
0.00%± 4.29
(108/108)Grok 4.5
0.00%± 4.48
(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.45.62%
Finance
62.81%
vs.59.81%
Healthcare
66.41%
vs.65.09%
Math
N/A
vs.31.00%
Science
31.40%
vs.N/A
Academic
90.36%
vs.81.31%
Education
48.69%
vs.34.97%
Coding
49.61%
vs.49.34%
Cyber
45.36%
vs.35.89%
Social Mobility
56.56%
vs.N/A
Cost Analysis
Per task and per token model pricing.
Vals Index · USD
N/A
$2.459
Cost / TestVals Index
N/A
vs.$2.459
Input Cost/ 1M Tokens
$1.50
vs.$2.00
Input Cache Read/ 1M Tokens
$0.15
vs.$0.30
Output Cost/ 1M Tokens
$7.50
vs.$6.00
Model Metadata
Basic information about each model.
| | |
|---|---|---|
| Model provider | Google | SpaceXAI |
| Latency | N/A | 944.20s |
| Cost (In/Out) | $1.5 / $7.5 | $2 / $6 |
| Context Window | 1M | 500k |
| Max Output Token | 66k | 500k |
| Input Modality |