Compare Models
Select models (max 5)
Grok 4.6GPT-5.6 Terra
 |  |  |
|---|---|---|
| Vals IndexGDP-weighted benchmark | 52.09%±1.15 | 53.09%±1.29 |
| Legal Research BenchAgentic US legal research | 48.08%±3.47 | 41.35%±3.42 |
| Finance Agent (v2)Core financial analyst tasks | 53.68%±0.67 | 54.44%±2.07 |
| Tax Agent BenchAgentic US corporate tax research | 70.79%±3.00 | 65.20%±3.19 |
| MedCodeMedical billing code support | 44.71%±2.26 | 43.41%±2.17 |
| Terminal-Bench ScienceExpert-authored scientific research workflows | 11.43%±3.83 | 10.00%±3.61 |
| Code MigrationRewriting programs in new languages | 44.57%±4.48 | 47.80%±4.28 |
| Terminal-Bench 4.0Frontier-difficulty terminal tasks | 17.17%±1.34 | 22.73%±2.31 |
| Vibe Code Bench v1.1Building web apps from scratch | 76.24%±3.82 | 74.59%±4.20 |
Benchmarks
Vals Index *
Grok 4.6
0.00%± 1.15
(43/43)GPT-5.6 Terra
0.00%± 1.29
(43/43)Legal Research Bench *
Grok 4.6
0.00%± 3.47
(73/73)GPT-5.6 Terra
0.00%± 3.42
(73/73)Finance Agent (v2) *
Grok 4.6
0.00%± 0.67
(74/74)GPT-5.6 Terra
0.00%± 2.07
(74/74)Tax Agent Bench *
Grok 4.6
0.00%± 3.00
(65/65)GPT-5.6 Terra
0.00%± 3.19
(65/65)MedCode *
Grok 4.6
0.00%± 2.26
(104/104)GPT-5.6 Terra
0.00%± 2.17
(104/104)Terminal-Bench Science
Grok 4.6
0.00%± 3.83
(38/38)GPT-5.6 Terra
0.00%± 3.61
(38/38)Code Migration *
Grok 4.6
0.00%± 4.48
(73/73)GPT-5.6 Terra
0.00%± 4.28
(73/73)Terminal-Bench 4.0
Grok 4.6
0.00%± 1.34
(43/43)GPT-5.6 Terra
0.00%± 2.31
(43/43)Vibe Code Bench v1.1 *
Grok 4.6
0.00%± 3.82
(108/108)GPT-5.6 Terra
0.00%± 4.20
(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.42.43%
Finance
64.50%
vs.65.87%
Healthcare
65.62%
vs.63.14%
Math
51.00%
vs.74.00%
Science
38.09%
vs.10.00%
Academic
92.05%
vs.88.01%
Education
28.90%
vs.47.00%
Coding
48.99%
vs.54.25%
Cyber
67.68%
vs.72.08%
Social Mobility
66.85%
vs.62.38%
Cost Analysis
Per task and per token model pricing.
Vals Index · USD
$4.493
$5.776
Cost / TestVals Index
$4.493
vs.$5.776
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.$12.00
Model Metadata
Basic information about each model.
| | |
|---|---|---|
| Model provider | SpaceXAI | OpenAI |
| Latency | 2221.07s | 2138.85s |
| Cost (In/Out) | $2 / $6 | $2 / $12 |
| Context Window | 500k | 1M |
| Max Output Token | 500k | 128k |
| Input Modality |