Compare Models
Select models (max 7)
Grok 4.7GPT-5.6 Sol
 |  |  |
|---|---|---|
| Vals IndexGDP-weighted benchmark | 58.56%±1.01 | N/A |
| Legal Research BenchAgentic US legal research | 47.12%±3.47 | 48.08%±3.47 |
| Finance Agent v2.1Core financial analyst tasks | 60.59%±2.11 | N/A |
| Tax Agent BenchAgentic US corporate tax research | 34.20%±3.42 | 31.09%±3.34 |
| MedCodeMedical billing code support | 49.55%±2.17 | 43.97%±2.26 |
| Terminal-Bench-ScienceExpert-authored scientific research workflows | 10.00%±3.61 | 20.00%±4.82 |
| Code Migration v1.1Rewriting programs in new languages | 53.22%±2.56 | N/A |
| Terminal-Bench 4.0Frontier-difficulty terminal tasks | 28.79%±2.31 | 37.88%±0.00 |
| Vibe Code Bench v1.1Building web apps from scratch | 86.17%±2.18 | 80.50%±3.72 |
Benchmarks
Vals Index *
Grok 4.7
0.00%± 1.01
(26/26)GPT-5.6 Sol
N/ALegal Research Bench *
Grok 4.7
0.00%± 3.47
(84/84)GPT-5.6 Sol
0.00%± 3.47
(84/84)Finance Agent v2.1 *
Grok 4.7
0.00%± 2.11
(30/30)GPT-5.6 Sol
N/ATax Agent Bench *
Grok 4.7
0.00%± 3.42
(75/75)GPT-5.6 Sol
0.00%± 3.34
(75/75)MedCode *
Grok 4.7
0.00%± 2.17
(107/107)GPT-5.6 Sol
0.00%± 2.26
(107/107)Terminal-Bench-Science
Grok 4.7
0.00%± 3.61
(42/42)GPT-5.6 Sol
0.00%± 4.82
(42/42)Code Migration v1.1 *
Grok 4.7
0.00%± 2.56
(28/28)GPT-5.6 Sol
N/ATerminal-Bench 4.0
Grok 4.7
0.00%± 2.31
(54/54)GPT-5.6 Sol
0.00%± 0.00
(54/54)Vibe Code Bench v1.1 *
Grok 4.7
0.00%± 2.18
(118/118)GPT-5.6 Sol
0.00%± 3.72
(118/118)Overall performance
Performance on the Vals Index, a GDP-weighted aggregation of tasks across finance, coding, and law
•2026-10-22
Comparison by Industry
Model performance on different sections of the economy.
Legal
49.95%
vs.67.52%
Finance
55.43%
vs.57.72%
Healthcare
69.47%
vs.64.60%
Math
26.00%
vs.83.00%
Science
26.17%
vs.41.48%
Academic
N/A
vs.91.05%
Education
40.79%
vs.52.56%
Coding
44.89%
vs.57.99%
Cyber
36.64%
vs.53.42%
Social Mobility
65.63%
vs.66.51%
Cost Analysis
Per task and per token model pricing.
Vals Index · USD
$11.63
N/A
Cost / TestVals Index
$11.63
vs.N/A
Input Cost/ 1M Tokens
$2.00
vs.$4.00
Input Cache Write/ 1M Tokens
N/A
vs.$5.00
Input Cache Read/ 1M Tokens
$0.50
vs.$0.40
Output Cost/ 1M Tokens
$6.00
vs.$20.00
Model Metadata
Basic information about each model.
| | |
|---|---|---|
| Model provider | SpaceXAI | OpenAI |
| Latency | 2013.84s | N/A |
| Cost (In/Out) | $2 / $6 | $4 / $20 |
| Context Window | 500k | 1M |
| Max Output Token | 500k | 128k |
| Input Modality |