Compare Models
Select models (max 5)
Grok 4.7GPT-6 Sol
 |  |  |
|---|---|---|
| Vals IndexGDP-weighted benchmark | 54.95%±1.07 | 57.54%±1.01 |
| Legal Research BenchAgentic US legal research | 47.12%±3.47 | 28.85%±3.15 |
| Finance Agent (v2)Core financial analyst tasks | 52.25%±0.35 | 49.05%±0.58 |
| Tax Agent BenchAgentic US corporate tax research | 65.60%±3.24 | 53.05%±3.29 |
| MedCodeMedical billing code support | 49.55%±2.17 | 47.07%±2.12 |
| Terminal-Bench ScienceExpert-authored scientific research workflows | 10.00%±3.61 | 30.00%±5.52 |
| Code MigrationRewriting programs in new languages | 44.82%±4.21 | 57.20%±4.21 |
| Terminal-Bench 4.0Frontier-difficulty terminal tasks | 28.79%±2.31 | 44.44%±3.54 |
| Vibe Code Bench v1.1Building web apps from scratch | 86.17%±2.18 | 87.82%±2.53 |
Benchmarks
Vals Index *
Grok 4.7
0.00%± 1.07
(43/43)GPT-6 Sol
0.00%± 1.01
(43/43)Legal Research Bench *
Grok 4.7
0.00%± 3.47
(73/73)GPT-6 Sol
0.00%± 3.15
(73/73)Finance Agent (v2) *
Grok 4.7
0.00%± 0.35
(74/74)GPT-6 Sol
0.00%± 0.58
(74/74)Tax Agent Bench *
Grok 4.7
0.00%± 3.24
(65/65)GPT-6 Sol
0.00%± 3.29
(65/65)MedCode *
Grok 4.7
0.00%± 2.17
(104/104)GPT-6 Sol
0.00%± 2.12
(104/104)Terminal-Bench Science
Grok 4.7
0.00%± 3.61
(38/38)GPT-6 Sol
0.00%± 5.52
(38/38)Code Migration *
Grok 4.7
0.00%± 4.21
(73/73)GPT-6 Sol
0.00%± 4.21
(73/73)Terminal-Bench 4.0
Grok 4.7
0.00%± 2.31
(43/43)GPT-6 Sol
0.00%± 3.54
(43/43)Vibe Code Bench v1.1 *
Grok 4.7
0.00%± 2.18
(108/108)GPT-6 Sol
0.00%± 2.53
(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
48.00%
vs.15.26%
Finance
61.61%
vs.57.88%
Healthcare
69.47%
vs.64.55%
Math
26.00%
vs.83.00%
Science
34.83%
vs.45.00%
Education
40.79%
vs.44.79%
Coding
43.60%
vs.54.81%
Cyber
69.46%
vs.77.98%
Social Mobility
65.63%
vs.56.63%
Cost Analysis
Per task and per token model pricing.
Vals Index · USD
$12.12
$7.581
Cost / TestVals Index
$12.12
vs.$7.581
Input Cost/ 1M Tokens
$2.00
vs.$2.00
Input Cache Write/ 1M Tokens
N/A
vs.$2.50
Input Cache Read/ 1M Tokens
$0.50
vs.$0.20
Output Cost/ 1M Tokens
$6.00
vs.$10.00
Model Metadata
Basic information about each model.
| | |
|---|---|---|
| Model provider | SpaceXAI | OpenAI |
| Latency | 2131.40s | 1750.68s |
| Cost (In/Out) | $2 / $6 | $2 / $10 |
| Context Window | 500k | 1M |
| Max Output Token | 500k | 128k |
| Input Modality |