Compare Models
Select models (max 5)
Grok 4.6GPT-6 Luna
 |  |  |
|---|---|---|
| Vals IndexGDP-weighted benchmark | 52.09%±1.15 | 51.22%±1.07 |
| Legal Research BenchAgentic US legal research | 48.08%±3.47 | 30.29%±3.19 |
| Finance Agent (v2)Core financial analyst tasks | 53.68%±0.67 | 49.87%±0.23 |
| Tax Agent BenchAgentic US corporate tax research | 70.79%±3.00 | 58.86%±3.21 |
| MedCodeMedical billing code support | 44.71%±2.26 | 44.69%±2.30 |
| Terminal-Bench ScienceExpert-authored scientific research workflows | 11.43%±3.83 | 4.29%±2.44 |
| Code MigrationRewriting programs in new languages | 44.57%±4.48 | 42.55%±4.42 |
| Terminal-Bench 4.0Frontier-difficulty terminal tasks | 17.17%±1.34 | 13.64%±1.51 |
| Vibe Code Bench v1.1Building web apps from scratch | 76.24%±3.82 | 81.65%±3.38 |
Benchmarks
Vals Index *
Grok 4.6
0.00%± 1.15
(43/43)GPT-6 Luna
0.00%± 1.07
(43/43)Legal Research Bench *
Grok 4.6
0.00%± 3.47
(73/73)GPT-6 Luna
0.00%± 3.19
(73/73)Finance Agent (v2) *
Grok 4.6
0.00%± 0.67
(74/74)GPT-6 Luna
0.00%± 0.23
(74/74)Tax Agent Bench *
Grok 4.6
0.00%± 3.00
(65/65)GPT-6 Luna
0.00%± 3.21
(65/65)MedCode *
Grok 4.6
0.00%± 2.26
(104/104)GPT-6 Luna
0.00%± 2.30
(104/104)Terminal-Bench Science
Grok 4.6
0.00%± 3.83
(38/38)GPT-6 Luna
0.00%± 2.44
(38/38)Code Migration *
Grok 4.6
0.00%± 4.48
(73/73)GPT-6 Luna
0.00%± 4.42
(73/73)Terminal-Bench 4.0
Grok 4.6
0.00%± 1.34
(43/43)GPT-6 Luna
0.00%± 1.51
(43/43)Vibe Code Bench v1.1 *
Grok 4.6
0.00%± 3.82
(108/108)GPT-6 Luna
0.00%± 3.38
(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
50.07%
vs.16.60%
Finance
64.50%
vs.59.08%
Healthcare
65.62%
vs.64.20%
Math
51.00%
vs.64.00%
Science
38.09%
vs.28.38%
Academic
92.05%
vs.N/A
Education
28.90%
vs.48.09%
Coding
48.99%
vs.38.78%
Cyber
67.68%
vs.76.25%
Social Mobility
66.85%
vs.57.65%
Cost Analysis
Per task and per token model pricing.
Vals Index · USD
$4.493
$0.431
Cost / TestVals Index
$4.493
vs.$0.431
Input Cost/ 1M Tokens
$2.00
vs.$0.10
Input Cache Write/ 1M Tokens
N/A
vs.$0.125
Input Cache Read/ 1M Tokens
$0.50
vs.$0.01
Output Cost/ 1M Tokens
$6.00
vs.$0.50
Model Metadata
Basic information about each model.
| | |
|---|---|---|
| Model provider | SpaceXAI | OpenAI |
| Latency | 2221.07s | 1833.68s |
| Cost (In/Out) | $2 / $6 | $0.1 / $0.5 |
| Context Window | 500k | 1M |
| Max Output Token | 500k | 128k |
| Input Modality |