Compare Models
Select models (max 5)
DeepSeek V4 Flash 0731Grok 4.5
| Vals IndexGDP-weighted benchmark | 47.96%±1.24 | 44.72%±1.17 |
| Legal Research BenchAgentic US legal research | 30.29%±3.19 | 37.98%±3.37 |
| Finance Agent (v2)Core financial analyst tasks | 49.52%±0.47 | 48.35%±0.46 |
| Tax Agent BenchAgentic US corporate tax research | 62.56%±3.14 | 64.32%±3.16 |
| MedCodeMedical billing code support | 41.41%±2.15 | 43.29%±2.31 |
| Terminal-Bench ScienceExpert-authored scientific research workflows | 4.29%±2.44 | N/A |
| Code MigrationRewriting programs in new languages | 38.63%±4.38 | 36.60%±4.14 |
| Terminal-Bench 4.0Frontier-difficulty terminal tasks | 18.69%±3.54 | 8.59%±1.34 |
| Vibe Code Bench v1.1Building web apps from scratch | 74.74%±3.44 | 69.00%±4.48 |
Benchmarks
Vals Index *
DeepSeek V4 Flash 0731
0.00%± 1.24
(43/43)Grok 4.5
0.00%± 1.17
(43/43)Legal Research Bench *
DeepSeek V4 Flash 0731
0.00%± 3.19
(73/73)Grok 4.5
0.00%± 3.37
(73/73)Finance Agent (v2) *
DeepSeek V4 Flash 0731
0.00%± 0.47
(74/74)Grok 4.5
0.00%± 0.46
(74/74)Tax Agent Bench *
DeepSeek V4 Flash 0731
0.00%± 3.14
(65/65)Grok 4.5
0.00%± 3.16
(65/65)MedCode *
DeepSeek V4 Flash 0731
0.00%± 2.15
(104/104)Grok 4.5
0.00%± 2.31
(104/104)Terminal-Bench Science
DeepSeek V4 Flash 0731
0.00%± 2.44
(38/38)Grok 4.5
N/ACode Migration *
DeepSeek V4 Flash 0731
0.00%± 4.38
(73/73)Grok 4.5
0.00%± 4.14
(73/73)Terminal-Bench 4.0
DeepSeek V4 Flash 0731
0.00%± 3.54
(43/43)Grok 4.5
0.00%± 1.34
(43/43)Vibe Code Bench v1.1 *
DeepSeek V4 Flash 0731
0.00%± 3.44
(108/108)Grok 4.5
0.00%± 4.48
(108/108)Overall performance
Performance on the Vals Index, a GDP-weighted aggregation of tasks across finance, coding, and law
Comparison by Industry
Model performance on different sections of the economy.
Legal
38.78%
vs.45.62%
Finance
59.94%
vs.59.81%
Healthcare
60.89%
vs.65.09%
Math
56.00%
vs.31.00%
Science
34.37%
vs.N/A
Academic
88.05%
vs.81.31%
Education
N/A
vs.34.97%
Coding
48.94%
vs.49.34%
Cyber
72.08%
vs.35.89%
Cost Analysis
Per task and per token model pricing.
Vals Index · USD
$0.848
$2.459
Cost / TestVals Index
$0.848
vs.$2.459
Input Cost/ 1M Tokens
$0.44
vs.$2.00
Input Cache Read/ 1M Tokens
$0.014
vs.$0.30
Output Cost/ 1M Tokens
$1.32
vs.$6.00
Model Metadata
Basic information about each model.
| Model provider | ||
| Latency | 2585.58s | 944.20s |
| Cost (In/Out) | $0.44 / $1.32 | $2 / $6 |
| Context Window | 1M | 500k |
| Max Output Token | 384k | 500k |
| Input Modality |