Compare Models
Select models (max 5)
DeepSeek V4.1 Flash 1017Grok 4.7
 |  |  |
|---|---|---|
| Vals IndexGDP-weighted benchmark | 56.58%±1.27 | 54.95%±1.07 |
| Legal Research BenchAgentic US legal research | 45.19%±3.46 | 47.12%±3.47 |
| Finance Agent (v2)Core financial analyst tasks | 56.96%±2.05 | 52.25%±0.35 |
| Tax Agent BenchAgentic US corporate tax research | 44.35%±3.57 | 34.20%±3.42 |
| MedCodeMedical billing code support | N/A | 49.55%±2.17 |
| Terminal-Bench-ScienceExpert-authored scientific research workflows | N/A | 10.00%±3.61 |
| Code MigrationRewriting programs in new languages | 44.21%±4.46 | 44.82%±4.21 |
| Terminal-Bench 4.0Frontier-difficulty terminal tasks | 31.82%±2.62 | 28.79%±2.31 |
| Vibe Code Bench v1.1Building web apps from scratch | 87.73%±2.75 | 86.17%±2.18 |
Benchmarks
Vals Index *
DeepSeek V4.1 Flash 1017
0.00%± 1.27
(50/50)Grok 4.7
0.00%± 1.07
(50/50)Legal Research Bench *
DeepSeek V4.1 Flash 1017
0.00%± 3.46
(80/80)Grok 4.7
0.00%± 3.47
(80/80)Finance Agent (v2) *
DeepSeek V4.1 Flash 1017
0.00%± 2.05
(80/80)Grok 4.7
0.00%± 0.35
(80/80)Tax Agent Bench *
DeepSeek V4.1 Flash 1017
0.00%± 3.57
(71/71)Grok 4.7
0.00%± 3.42
(71/71)MedCode *
DeepSeek V4.1 Flash 1017
N/AGrok 4.7
0.00%± 2.17
(107/107)Terminal-Bench-Science
DeepSeek V4.1 Flash 1017
N/AGrok 4.7
0.00%± 3.61
(41/41)Code Migration *
DeepSeek V4.1 Flash 1017
0.00%± 4.46
(79/79)Grok 4.7
0.00%± 4.21
(79/79)Terminal-Bench 4.0
DeepSeek V4.1 Flash 1017
0.00%± 2.62
(50/50)Grok 4.7
0.00%± 2.31
(50/50)Vibe Code Bench v1.1 *
DeepSeek V4.1 Flash 1017
0.00%± 2.75
(114/114)Grok 4.7
0.00%± 2.18
(114/114)Overall performance
Performance on the Vals Index, a GDP-weighted aggregation of tasks across finance, coding, and law
•2026-10-18
Comparison by Industry
Model performance on different sections of the economy.
Legal
27.18%
vs.48.00%
Finance
54.37%
vs.51.15%
Healthcare
N/A
vs.69.47%
Math
N/A
vs.26.00%
Science
N/A
vs.26.17%
Education
N/A
vs.40.79%
Coding
54.59%
vs.43.49%
Cyber
N/A
vs.36.64%
Social Mobility
N/A
vs.65.63%
Cost Analysis
Per task and per token model pricing.
Vals Index · USD
$0.637
$12.11
Cost / TestVals Index
$0.637
vs.$12.11
Input Cost/ 1M Tokens
$0.30
vs.$2.00
Input Cache Read/ 1M Tokens
$0.006
vs.$0.50
Output Cost/ 1M Tokens
$1.20
vs.$6.00
Model Metadata
Basic information about each model.
| | |
|---|---|---|
| Model provider | DeepSeek | SpaceXAI |
| Latency | 2193.12s | 2129.76s |
| Cost (In/Out) | $0.3 / $1.2 | $2 / $6 |
| Context Window | 1M | 500k |
| Max Output Token | 384k | 500k |
| Input Modality |